@article{Thomas2023,
    title = {{"I Never Said That": A dataset, taxonomy and baselines on response clarity classification}},
    year = {2024},
    author = {Thomas, Konstantinos and Filandrianos, Giorgos and Lymperaiou, Maria and Zerva, Chrysoula and Stamou, Giorgos},
    url = {http://arxiv.org/abs/2409.13879},
    arxivId = {2409.13879}
}

@article{Thelwall2021,
    title = {{"my ADHD Hellbrain": A Twitter Data Science Perspective on a Behavioural Disorder}},
    year = {2021},
    journal = {Journal of Data and Information Science},
    author = {Thelwall, Mike and Makita, Meiko and Mas-Bleda, Amalia and Stuart, Emma},
    number = {1},
    pages = {13--34},
    volume = {6},
    doi = {10.2478/jdis-2021-0007},
    issn = {2096157X},
    keywords = {ADHD, Social behaviour, Social web, Twitter, Word association thematic analysis}
}

@article{Wang2024,
    title = {{"My Answer is C": First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models}},
    year = {2024},
    author = {Wang, Xinpeng and Ma, Bolei and Hu, Chengzhi and Weber-Genzel, Leon and R{\"{o}}ttger, Paul and Kreuter, Frauke and Hovy, Dirk and Plank, Barbara},
    url = {http://arxiv.org/abs/2402.14499},
    arxivId = {2402.14499}
}

@article{Waqas2019,
    title = {{{\#}CampFiremissing: An analysis of tweets about missing and found people from California wildfires}},
    year = {2019},
    journal = {Proceedings of the International ISCRAM Conference},
    author = {Waqas, Humaira and Imran, Muhammad},
    number = {May},
    pages = {848--856},
    volume = {2019-May},
    isbn = {9788409104987},
    issn = {24113387},
    keywords = {California wildfires, Disaster response, Missing and found people, Social media, Twitter}
}

@article{Joseph2021,
    title = {{(Mis)alignment Between Stance Expressed in Social Media Data and Public Opinion Surveys}},
    year = {2021},
    journal = {EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings},
    author = {Joseph, Kenneth and Shugars, Sarah and Gallagher, Ryan and Green, Jon and Math{\'{e}}, Alexi Quintana and An, Zijian and Lazer, David},
    pages = {312--324},
    isbn = {9781955917094},
    doi = {10.18653/v1/2021.emnlp-main.27},
    arxivId = {2109.01762}
}

@article{Lu2019b,
    title = {{12-in-1: Multi-Task Vision and Language Representation Learning}},
    year = {2019},
    author = {Lu, Jiasen and Goswami, Vedanuj and Rohrbach, Marcus and Parikh, Devi and Lee, Stefan},
    url = {http://arxiv.org/abs/1912.02315},
    arxivId = {1912.02315}
}

@inproceedings{abercrombie20232nd,
    title = {{2nd Workshop on Perspectivist Approaches to NLP (NLPerspectives 2023)}},
    year = {2023},
    booktitle = {CEUR Workshop Proceedings},
    author = {Abercrombie, Gavin and Basile, Valerio and Bernardi, Davide and Dudy, Shiran and Frenda, Simona and Havens, Lucy and Leonardelli, Elisa and Tonelli, Sara and {others}},
    pages = {1--2},
    volume = {3494},
    organization = {CEUR-WS}
}

@article{Dettmers2021,
    title = {{8-bit Optimizers via Block-wise Quantization}},
    year = {2021},
    author = {Dettmers, Tim and Lewis, Mike and Shleifer, Sam and Zettlemoyer, Luke},
    pages = {1--19},
    url = {http://arxiv.org/abs/2110.02861},
    arxivId = {2110.02861}
}

@article{Lucas2023,
    title = {{A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping}},
    year = {2023},
    journal = {Machine Learning},
    author = {Lucas, Benjamin and Pelletier, Charlotte and Schmidt, Daniel and Webb, Geoffrey I. and Petitjean, François},
    number = {6},
    pages = {1941--1973},
    volume = {112},
    doi = {10.1007/s10994-020-05942-z},
    issn = {15730565},
    arxivId = {2005.11930},
    keywords = {Deep learning, Domain adaptation, Earth observation, Land cover mapping, Remote sensing, Satellite image time series}
}

@article{Williams2017,
    title = {{A broad-coverage challenge corpus for sentence understanding through inference}},
    year = {2017},
    journal = {arXiv},
    author = {Williams, Adina and Nangia, Nikita and Bowman, Samuel R.}
}

@article{norgeot2019call,
    title = {{A call for deep-learning healthcare}},
    year = {2019},
    journal = {Nature medicine},
    author = {Norgeot, Beau and Glicksberg, Benjamin S and Butte, Atul J},
    number = {1},
    pages = {14--15},
    volume = {25},
    publisher = {Nature Publishing Group US New York}
}

@article{Niu2024,
    title = {{A Challenge Dataset and Effective Models for Conversational Stance Detection}},
    year = {2024},
    journal = {2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings},
    author = {Niu, Fuqiang and Yang, Min and Li, Ang and Zhang, Baoquan and Peng, Xiaojiang and Zhang, Bowen},
    number = {i},
    pages = {122--132},
    isbn = {9782493814104},
    arxivId = {2403.11145},
    keywords = {conversational stance detection, global-local attention network, social media}
}

@article{Wei2021c,
    title = {{A cognitive regularizer for language modeling}},
    year = {2021},
    journal = {ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference},
    author = {Wei, Jason and Meister, Clara and Cotterell, Ryan},
    pages = {5191--5202},
    isbn = {9781954085527},
    doi = {10.18653/v1/2021.acl-long.404},
    arxivId = {2105.07144}
}

@article{Danescu-Niculescu-Mizil2013,
    title = {{A computational approach to politeness with application to social factors}},
    year = {2013},
    journal = {ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Danescu-Niculescu-Mizil, Cristian and Sudhof, Moritz and Dan, Jurafsky and Leskovec, Jure and Potts, Christopher},
    pages = {250--259},
    volume = {1},
    isbn = {9781937284503},
    arxivId = {1306.6078}
}

@article{Sharma2020a,
    title = {{A computational approach to understanding empathy expressed in text-based mental health support}},
    year = {2020},
    journal = {EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference},
    author = {Sharma, Ashish and Miner, Adam S. and Atkins, David C. and Althoff, Tim},
    pages = {5263--5276},
    isbn = {9781952148606}
}

@inproceedings{Rizk2019,
    title = {{A Computationally Efficient Multi-modal Classification Approach of Disaster-related Twitter Images}},
    year = {2019},
    booktitle = {The 34th ACM/SIGAPP Symposium on Applied Computing (SAC ’19)},
    author = {Rizk, Yara and Awad, Mariette and Castillo, Carlos},
    isbn = {9781450359337},
    keywords = {acm reference format, bag of, damage, humanitarian computing, infrastructure, low-level visual features, multi-modal classification, nature, words}
}

@article{Cavazos-Rehg2016,
    title = {{A content analysis of tweets about high-potency marijuana}},
    year = {2016},
    journal = {Drug and Alcohol Dependence},
    author = {Cavazos-Rehg, Patricia A. and Sowles, Shaina J. and Krauss, Melissa J. and Agbonavbare, Vivian and Grucza, Richard and Bierut, Laura},
    pages = {100--108},
    volume = {166},
    publisher = {Elsevier Ireland Ltd},
    url = {http://dx.doi.org/10.1016/j.drugalcdep.2016.06.034},
    doi = {10.1016/j.drugalcdep.2016.06.034},
    issn = {18790046},
    pmid = {27402550},
    keywords = {Cannabis, Marijuana concentrates, Marijuana smoking, Social media, Twitter}
}

@article{Gencheva2017,
    title = {{A Context-Aware Approach for Detecting Worth-Checking Claims in Political Debates}},
    year = {2017},
    author = {Gencheva, Pepa and Nakov, Preslav and Barron, Alberto},
    pages = {267--276},
    isbn = {9789544520496}
}

@inproceedings{Schwenk2019,
    title = {{A corpus for multilingual document classification in eight languages}},
    year = {2019},
    booktitle = {LREC 2018 - 11th International Conference on Language Resources and Evaluation},
    author = {Schwenk, Holger and Li, Xian},
    pages = {3548--3551},
    isbn = {9791095546009},
    arxivId = {1805.09821},
    keywords = {Cross-lingual document classification, Evaluation framework, Multilinguality, Reuters Corpus Volume 2 (RCV2)}
}

@article{Walker2012,
    title = {{A corpus for research on deliberation and debate}},
    year = {2012},
    journal = {Proceedings of the 8th International Conference on Language Resources and Evaluation, LREC 2012},
    author = {Walker, Marilyn A. and Anand, Pranav and Tree, Jean E.Fox and Abbott, Rob and King, Joseph},
    pages = {812--817},
    isbn = {9782951740877},
    keywords = {Debate, Dialogue, Online}
}

@article{Lahnala2022a,
    title = {{A Critical Reflection and Forward Perspective on Empathy and Natural Language Processing}},
    year = {2022},
    journal = {Findings of the Association for Computational Linguistics: EMNLP 2022},
    author = {Lahnala, Allison and Welch, Charles and Jurgens, David and Flek, Lucie},
    number = {3},
    pages = {2139--2158},
    arxivId = {2210.16604}
}

@article{Mohammad2016stance,
    title = {{A Dataset for Detecting Stance in Tweets}},
    year = {2016},
    author = {Mohammad, Saif M. and Kiritchenko, Svetlana and Sobhani, Parinaz and Zhu, Xiaodan and Cherry, Colin},
    doi = {10.18720/MCE.75.10},
    issn = {20710305}
}

@article{Sobhani2017,
    title = {{A Dataset for Multi-Target Stance Classification}},
    year = {2017},
    journal = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers},
    author = {Sobhani, Parinaz and Inkpen, Diana and Zhu, Xiaodan},
    pages = {551--557},
    volume = {2},
    url = {http://www.aclweb.org/anthology/E17-2088},
    isbn = {9781510838604}
}

@article{Guede-Fernandez2021,
    title = {{A deep learning based object identification system for forest fire detection}},
    year = {2021},
    journal = {Fire},
    author = {Guede-Fern{\'{a}}ndez, Federico and Martins, Leonardo and de Almeida, Rui Valente and Gamboa, Hugo and Vieira, Pedro},
    number = {4},
    pages = {1--17},
    volume = {4},
    doi = {10.3390/fire4040075},
    issn = {25716255},
    keywords = {Deep learning, Fire detection, Smoke detection, Wildfires}
}

@inproceedings{Atanasova2020,
    title = {{A diagnostic study of explainability techniques for text classification}},
    year = {2020},
    booktitle = {EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference},
    author = {Atanasova, Pepa and Simonsen, Jakob Grue and Lioma, Christina and Augenstein, Isabelle},
    pages = {3256--3274},
    isbn = {9781952148606},
    doi = {10.18653/v1/2020.emnlp-main.263},
    arxivId = {2009.13295}
}

@book{Litman2021,
    title = {{A Fairness Evaluation of Automated Methods for Scoring Text Evidence Usage in Writing}},
    year = {2021},
    booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    author = {Litman, Diane and Zhang, Haoran and Correnti, Richard and Matsumura, Lindsay Clare and Wang, Elaine},
    pages = {255--267},
    volume = {12748 LNAI},
    publisher = {Springer International Publishing},
    url = {http://dx.doi.org/10.1007/978-3-030-78292-4_21},
    isbn = {9783030782917},
    doi = {10.1007/978-3-030-78292-4{\_}21},
    issn = {16113349},
    keywords = {Argumentation, Automated essay scoring, Fairness}
}

@article{bro1997fast,
    title = {{A fast non-negativity-constrained least squares algorithm}},
    year = {1997},
    journal = {Journal of Chemometrics: A Journal of the Chemometrics Society},
    author = {Bro, Rasmus and De Jong, Sijmen},
    number = {5},
    pages = {393--401},
    volume = {11},
    publisher = {Wiley Online Library}
}

@article{Roy2016,
    title = {{A Fluctuation Smoothing Approach for Unsupervised Automatic Short Answer Grading}},
    year = {2016},
    journal = {Proceedings of the 3rd Workshop on Natural Language Processing Techniques for Educational Applications},
    author = {Roy, Shourya and Dandapat, Sandipan and Narahari, Y},
    pages = {82--91}
}

@article{Mendelsohn2020,
    title = {{A framework for the computational linguistic analysis of dehumanization}},
    year = {2020},
    journal = {arXiv},
    author = {Mendelsohn, Julia and Tsvetkov, Yulia and Jurafsky, Dan},
    number = {August},
    pages = {1--24},
    volume = {3},
    doi = {10.3389/frai.2020.00055},
    issn = {23318422},
    arxivId = {2003.03014},
    keywords = {Computational sociolinguistics, Dehumanization, LGBTQ, Language change, Lexical variation, Media, New York Times}
}

@article{Prabhakaran2023,
    title = {{A Framework to Assess (Dis)agreement Among Diverse Rater Groups}},
    year = {2023},
    author = {Prabhakaran, Vinodkumar and Homan, Christopher and Aroyo, Lora and Parrish, Alicia and Taylor, Alex and D{\'{i}}az, Mark and Wang, Ding},
    number = {2021},
    url = {http://arxiv.org/abs/2311.05074},
    arxivId = {2311.05074}
}

@article{Mazoyer2020,
    title = {{A French Corpus for Event Detection on Twitter}},
    year = {2020},
    journal = {International Conference on Language Resources and Evaluation},
    author = {Mazoyer, Béatrice and Cag{\'{e}}, Julia and Herv{\'{e}}, Nicolas and Hudelot, Céline},
    number = {May},
    pages = {6220--6227},
    keywords = {dataset, event detection, french, natural language processing, topic detection and tracking, twitter}
}

@article{Novak-Tot2017b,
    title = {{A gender bias in the acoustic-melodic features of charismatic speech?}},
    year = {2017},
    journal = {Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH},
    author = {Nov{\'{a}}k-T{\'{o}}t, Eszter and Niebuhr, Oliver and Chen, Aoju},
    pages = {2248--2252},
    volume = {2017-Augus},
    doi = {10.21437/Interspeech.2017-1349},
    issn = {19909772},
    keywords = {Charisma, Emphasis, Gender, Hesitation, Intensity, Prosody, Speaking rate.}
}

@article{Dwivedi2020a,
    title = {{A Generalization of Transformer Networks to Graphs}},
    year = {2020},
    author = {Dwivedi, Vijay Prakash and Bresson, Xavier},
    url = {http://arxiv.org/abs/2012.09699},
    arxivId = {2012.09699}
}

@inproceedings{kaur2022generalized,
    title = {{A Generalized Multimodal Deep Learning Model for Early Crop Yield Prediction}},
    year = {2022},
    booktitle = {2022 IEEE International Conference on Big Data (Big Data)},
    author = {Kaur, Arshveer and Goyal, Poonam and Sharma, Kartik and Sharma, Lakshay and Goyal, Navneet},
    pages = {1272--1279},
    organization = {IEEE}
}

@article{Sanchez-Lengeling2021,
    title = {{A Gentle Introduction to Graph Neural Networks}},
    year = {2021},
    journal = {Distill},
    author = {Sanchez-Lengeling, Benjamin and Reif, Emily and Pearce, Adam and Wiltschko, Alex},
    number = {8},
    pages = {1--26},
    volume = {6},
    doi = {10.23915/distill.00033}
}

@article{Rnningstad2024,
    title = {{A GPT among Annotators: LLM-based Entity-Level Sentiment Annotation}},
    year = {2024},
    journal = {LAW 2024 - 18th Linguistic Annotation Workshop, Co-located with EACL 2024 - Proceedings of the Workshop},
    author = {R{\o}nningstad, Egil and Velldal, Erik and {\O}vrelid, Lilja},
    pages = {133--139},
    isbn = {9798891760738}
}

@article{Li2022c,
    title = {{A hierarchical category structure based convolutional recurrent neural network (HCS-ConvRNN) for Land-Cover classification using dense MODIS Time-Series data}},
    year = {2022},
    journal = {International Journal of Applied Earth Observation and Geoinformation},
    author = {Li, Jiayi and Zhang, Ben and Huang, Xin},
    number = {March},
    volume = {108},
    publisher = {Elsevier B.V.},
    doi = {10.1016/j.jag.2022.102744},
    issn = {1872826X},
    keywords = {Convolutional recurrent neural network, Hierarchical classification, Land-cover classification, MODIS, Time series}
}

@inproceedings{Sanh2017,
    title = {{A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks}},
    year = {2018},
    booktitle = {AAAI},
    author = {Sanh, Victor and Wolf, Thomas and Ruder, Sebastian and Court, Harmony and Row, Harmony},
    arxivId = {arXiv:1811.06031v1}
}

@article{Fel2023a,
    title = {{A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation}},
    year = {2023},
    author = {Fel, Thomas and Boutin, Victor and Moayeri, Mazda and Cad{\`{e}}ne, Rémi and Bethune, Louis and and{\'{e}}ol, Léo and Chalvidal, Mathieu and Serre, Thomas},
    number = {NeurIPS},
    pages = {1--20},
    url = {http://arxiv.org/abs/2306.07304},
    arxivId = {2306.07304}
}

@article{Ahmad2021,
    title = {{A Hybrid Deep Learning Technique for Personality Trait Classification from Text}},
    year = {2021},
    journal = {IEEE Access},
    author = {Ahmad, Hussain and Asghar, Muhammad Usama and Asghar, Muhammad Zubair and Khan, Aurangzeb and Mosavi, Amir H.},
    pages = {146214--146232},
    volume = {9},
    publisher = {IEEE},
    doi = {10.1109/ACCESS.2021.3121791},
    issn = {21693536},
    keywords = {Personality trait, artificial intelligence, convolutional neural network, deep learning, long short-term memory, machine learning, social networks}
}

@article{Mazloom2019,
    title = {{A Hybrid Domain Adaptation Approach for Identifying Crisis-Relevant Tweets}},
    year = {2019},
    journal = {International Journal of Information Systems for Crisis Response and Management},
    author = {Mazloom, Reza and Li, Hongmin and Caragea, Doina and Caragea, Cornelia and Imran, Muhammad},
    number = {2},
    pages = {1--19},
    volume = {11},
    doi = {10.4018/ijiscram.2019070101},
    issn = {1937-9390},
    keywords = {crisis response, domain adaptation, k-nearest neighbors, matrix factorization, self-training, tweet classification}
}

@article{DeVenancio2023,
    title = {{A hybrid method for fire detection based on spatial and temporal patterns}},
    year = {2023},
    journal = {Neural Computing and Applications},
    author = {de Ven{\^{a}}ncio, Pedro Vinícius A.B. and Campos, Roger J. and Rezende, Tamires M. and Lisboa, Adriano C. and Barbosa, Adriano V.},
    number = {13},
    pages = {9349--9361},
    volume = {35},
    isbn = {0123456789},
    doi = {10.1007/s00521-023-08260-2},
    issn = {14333058},
    keywords = {Deep convolutional neural network, Hybrid wildfire detection method, Temporal analysis}
}

@article{Lin2020,
    title = {{A Joint Neural Model for Information Extraction with Global Features}},
    year = {2020},
    author = {Lin, Ying and Ji, Heng and Huang, Fei and Wu, Lingfei},
    pages = {7999--8009},
    doi = {10.18653/v1/2020.acl-main.713}
}

@article{El-Sayed2024,
    title = {{A Mechanism-Based Approach to Mitigating Harms from Persuasive Generative AI}},
    year = {2024},
    author = {El-Sayed, Seliem and Akbulut, Canfer and McCroskery, Amanda and Keeling, Geoff and Kenton, Zachary and Jalan, Zaria and Marchal, Nahema and Manzini, Arianna and Shevlane, Toby and Vallor, Shannon and Susser, Daniel and Franklin, Matija and Bridgers, Sophie and Law, Harry and Rahtz, Matthew and Shanahan, Murray and Tessler, Michael Henry and Douillard, Arthur and Everitt, Tom and Brown, Sasha},
    url = {http://arxiv.org/abs/2404.15058},
    arxivId = {2404.15058}
}

@article{VanDinter2021,
    title = {{A Multi-Channel Convolutional Neural Network approach to automate the citation screening process}},
    year = {2021},
    journal = {Applied Soft Computing},
    author = {van Dinter, Raymon and Catal, Cagatay and Tekinerdogan, Bedir},
    pages = {107765},
    volume = {112},
    publisher = {Elsevier B.V.},
    url = {https://doi.org/10.1016/j.asoc.2021.107765},
    doi = {10.1016/j.asoc.2021.107765},
    issn = {15684946},
    keywords = {Automation, Citation screening, Natural language processing, Neural networks, Systematic literature review (SLR)}
}

@article{Li2020b,
    title = {{A Multi-Modal Method for Satire Detection using Textual and Visual Cues}},
    year = {2020},
    journal = {COLING},
    author = {Li, Lily and Levi, Or and Hosseini, Pedram and Broniatowski, David A and George, The and Washington, D C},
    pages = {33--38}
}

@article{Wehrmann2018,
    title = {{A multi-task neural network for multilingual sentiment classification and language detection on Twitter}},
    year = {2018},
    journal = {Proceedings of the ACM Symposium on Applied Computing},
    author = {Wehrmann, Jnatas and Becker, Willian E. and Barros, Rodrigo C.},
    number = {April},
    pages = {1805--1812},
    isbn = {9781450351911},
    doi = {10.1145/3167132.3167325},
    keywords = {Convolutional neural networks, Language detection, Multitask classification, Sentiment analysis}
}

@article{Corazza2020,
    title = {{A Multilingual Evaluation for Online Hate Speech Detection}},
    year = {2020},
    journal = {ACM Transactions on Internet Technology},
    author = {Corazza, Michele and Menini, Stefano and Cabrio, Elena and Tonelli, Sara and Villata, Serena and Corazza, Michele and Menini, Stefano and Cabrio, Elena and Tonelli, Sara and Evalu-, Serena Villata A Multilingual and Corazza, Michele and Menini, Stefano and Kessler, Fondazione Bruno and Tonelli, Sara and Kessler, Fondazione Bruno}
}

@article{Gaspar2019,
    title = {{A multimodal approach to image sentiment analysis}},
    year = {2019},
    journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    author = {Gaspar, António and Alexandre, Luís A.},
    pages = {302--309},
    volume = {11871 LNCS},
    isbn = {9783030336066},
    doi = {10.1007/978-3-030-33607-3{\_}33},
    issn = {16113349},
    keywords = {Deep learning, Image, Multimodal sentiment analysis, Text}
}

@article{Lippe2020,
    title = {{A multimodal framework for the detection of hateful memes}},
    year = {2020},
    journal = {arXiv},
    author = {Lippe, Phillip and Holla, Nithin and Chandra, Shantanu and Rajamanickam, Santhosh and Antoniou, Georgios and Shutova, Ekaterina and Yannakoudakis, Helen},
    issn = {23318422},
    arxivId = {2012.12871}
}

@article{Brilman2015,
    title = {{A Multimodal Predictive Model of Successful Debaters or How I Learned to Sway Votes}},
    year = {2015},
    journal = {Proceedings of the 23rd ACM international conference on Multimedia},
    author = {Brilman, Maarten and Scherer, Stefan},
    pages = {149--158},
    url = {http://dl.acm.org/citation.cfm?id=2733373.2806245},
    isbn = {978-1-4503-3459-4},
    doi = {10.1145/2733373.2806245},
    keywords = {information fusion, machine learning, multimodal, nonverbal behavior, public speaking}
}

@inproceedings{Vig2019a,
    title = {{A multiscale visualization of attention in the transformer model}},
    year = {2019},
    booktitle = {ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of System Demonstrations},
    author = {Vig, Jesse},
    pages = {37--42},
    isbn = {9781950737499},
    doi = {10.18653/v1/p19-3007},
    arxivId = {1906.05714}
}

@inproceedings{Meister2022,
    title = {{A Natural Bias for Language Generation Models}},
    year = {2022},
    booktitle = {ACL},
    author = {Meister, Clara and Stokowiec, Wojciech and Pimentel, Tiago and Yu, Lei and Rimell, Laura and Kuncoro, Adhiguna},
    pages = {243--255},
    volume = {2},
    url = {http://arxiv.org/abs/2212.09686},
    arxivId = {2212.09686}
}

@article{Sarwar2021,
    title = {{A Neighbourhood Framework for Resource-Lean Content Flagging}},
    year = {2021},
    author = {Sarwar, Sheikh Muhammad and Zlatkova, Dimitrina and Hardalov, Momchil and Dinkov, Yoan and Augenstein, Isabelle and Nakov, Preslav},
    url = {http://arxiv.org/abs/2103.17055},
    arxivId = {2103.17055}
}

@article{Gerlach2018,
    title = {{A network approach to topic models}},
    year = {2018},
    journal = {Science Advances},
    author = {Gerlach, Martin and Peixoto, Tiago P. and Altmann, Eduardo G.},
    number = {7},
    volume = {4},
    doi = {10.1126/sciadv.aaq1360},
    issn = {23752548},
    pmid = {30035215},
    arxivId = {1708.01677}
}

@inproceedings{Taghipour2016,
    title = {{A neural approach to automated essay scoring}},
    year = {2016},
    booktitle = {EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings},
    author = {Taghipour, Kaveh and Ng, Hwee Tou},
    pages = {1882--1891},
    isbn = {9781945626258},
    doi = {10.18653/v1/d16-1193}
}

@article{Cheng2008,
    title = {{A neural network approach to ordinal regression}},
    year = {2008},
    journal = {Proceedings of the International Joint Conference on Neural Networks},
    author = {Cheng, Jianlin and Wang, Zheng and Pollastri, Gianluca},
    pages = {1279--1284},
    isbn = {9781424418213},
    doi = {10.1109/IJCNN.2008.4633963},
    arxivId = {0704.1028}
}

@inproceedings{Sun2021,
    title = {{A New View of Multi-modal Language Analysis : Audio and Video Features as Text “ Styles ”}},
    year = {2021},
    booktitle = {EACL},
    author = {Sun, Zhongkai and Sarma, Prathusha K and Liang, Yingyu and Sethares, William A},
    pages = {1956--1965}
}

@inproceedings{Li2016a,
    title = {{A Persona-Based Neural Conversation Model}},
    year = {2016},
    booktitle = {ACL},
    author = {Li, Jiwei and Galley, Michel and Brockett, Chris and Spithourakis, Georgios P. and Gao, Jianfeng and Dolan, Bill},
    url = {http://arxiv.org/abs/1603.06155},
    isbn = {9781510827585},
    arxivId = {1603.06155}
}

@article{Liu2018b,
    title = {{A phenology-based method to map cropping patterns under a wheat-maize rotation using remotely sensed time-series data}},
    year = {2018},
    journal = {Remote Sensing},
    author = {Liu, Jianhong and Zhu, Wenquan and Atzberger, Clement and Zhao, Anzhou and Pan, Yaozhong and Huang, Xin},
    number = {8},
    pages = {1--25},
    volume = {10},
    doi = {10.3390/rs10081203},
    issn = {20724292},
    keywords = {Cropping index, Cropping pattern, MODIS, Phenological metrics, Time series}
}

@article{Bennetot2021,
    title = {{A Practical Tutorial on Explainable AI Techniques}},
    year = {2021},
    author = {Bennetot, Adrien and Donadello, Ivan and Qadi, Ayoub El and Dragoni, Mauro and Frossard, Thomas and Wagner, Benedikt and Saranti, Anna and Tulli, Silvia and Trocan, Maria and Chatila, Raja and Holzinger, Andreas and Garcez, Artur d'Avila and D{\'{i}}az-Rodr{\'{i}}guez, Natalia},
    url = {http://arxiv.org/abs/2111.14260},
    arxivId = {2111.14260}
}

@article{Rogers2020a,
    title = {{A Primer in BERTology: What we know about how BERT works}},
    year = {2020},
    journal = {arXiv},
    author = {Rogers, Anna and Kovaleva, Olga and Rumshisky, Anna},
    pages = {842--866},
    volume = {8},
    doi = {10.1162/tacl{\_}a{\_}00349},
    issn = {23318422},
    arxivId = {2002.12327}
}

@article{Berg2022,
    title = {{A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning}},
    year = {2022},
    author = {Berg, Hugo and Hall, Siobhan Mackenzie and Bhalgat, Yash and Yang, Wonsuk and Kirk, Hannah Rose and Shtedritski, Aleksandar and Bain, Max},
    url = {http://arxiv.org/abs/2203.11933},
    arxivId = {2203.11933}
}

@article{Zhang2018b,
    title = {{A quantum-inspired multimodal sentiment analysis framework}},
    year = {2018},
    journal = {Theoretical Computer Science},
    author = {Zhang, Yazhou and Song, Dawei and Zhang, Peng and Wang, Panpan and Li, Jingfei and Li, Xiang and Wang, Benyou},
    pages = {21--40},
    volume = {752},
    doi = {10.1016/j.tcs.2018.04.029},
    issn = {03043975},
    keywords = {Decision fusion, Information fusion, Multimodal sentiment analysis, Quantum theory}
}

@article{Li2024e,
    title = {{A Review of Prominent Paradigms for LLM-Based Agents: Tool Use (Including RAG), Planning, and Feedback Learning}},
    year = {2024},
    author = {Li, Xinzhe},
    url = {http://arxiv.org/abs/2406.05804},
    arxivId = {2406.05804}
}

@article{wen2020review,
    title = {{A review of remote sensing challenges for food security with respect to salinity and drought threats}},
    year = {2020},
    journal = {Remote Sensing},
    author = {Wen, Wen and Timmermans, Joris and Chen, Qi and van Bodegom, Peter M},
    number = {1},
    pages = {6},
    volume = {13},
    publisher = {MDPI}
}

@article{Barmpoutis2020,
    title = {{A review on early forest fire detection systems using optical remote sensing}},
    year = {2020},
    journal = {Sensors (Switzerland)},
    author = {Barmpoutis, Panagiotis and Papaioannou, Periklis and Dimitropoulos, Kosmas and Grammalidis, Nikos},
    number = {22},
    pages = {1--26},
    volume = {20},
    doi = {10.3390/s20226442},
    issn = {14248220},
    pmid = {33187292},
    keywords = {Aerial, Artificial intelligence, Early fire detection, Multispectral imaging systems, Satellite, Terrestrial}
}

@inproceedings{Dong2019,
    title = {{A Robust Self-Learning Framework for Cross-Lingual Text Classification}},
    year = {2019},
    booktitle = {EMNLP},
    author = {Dong, Xin and Melo, Gerard De},
    pages = {6306--6310}
}

@article{Ricciardi2020,
    title = {{A scoping review of research funding for small-scale farmers in water scarce regions}},
    year = {2020},
    journal = {Nature Sustainability},
    author = {Ricciardi, Vincent and Wane, Abdrahmane and Sidhu, Balsher Singh and Goode, Cecile and Solomon, Divya and McCullough, Ellen and Diekmann, Florian and Porciello, Jaron and Jain, Meha and Randall, Nicola and Mehrabi, Zia},
    number = {10},
    pages = {836--844},
    volume = {3},
    publisher = {Springer US},
    url = {http://dx.doi.org/10.1038/s41893-020-00623-0},
    doi = {10.1038/s41893-020-00623-0},
    issn = {23989629}
}

@article{Giasemidis2020,
    title = {{A Semi-Supervised Approach to Message Stance Classification}},
    year = {2020},
    journal = {IEEE Transactions on Knowledge and Data Engineering},
    author = {Giasemidis, Georgios and Kaplis, Nikolaos and Agrafiotis, Ioannis and Nurse, Jason R.C.},
    number = {1},
    pages = {1--11},
    volume = {32},
    publisher = {IEEE},
    doi = {10.1109/TKDE.2018.2880192},
    issn = {15582191},
    arxivId = {1902.03097},
    keywords = {Message stance, Twitter, label propagation, label spreading, rumours, semi-supervised}
}

@article{Pang2004,
    title = {{A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts}},
    year = {2004},
    journal = {Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics},
    author = {Pang, B. and Lee, L.},
    pages = {271},
    url = {http://portal.acm.org/citation.cfm?id=1218990},
    doi = {10.3115/1218955.1218990},
    issn = {1554-0669},
    arxivId = {cs/0409058}
}

@inproceedings{Barriere2024,
    title = {{A Study of Nationality Bias in Names and Perplexity using Off-the-Shelf Affect-related Tweet Classifiers}},
    year = {2024},
    booktitle = {Proceedings of EMNLP},
    author = {Barriere, Valentin and Cifuentes, Sebastian},
    editor = {Al-Onaizan, Yaser and Bansal, Mohit and Chen, Yun-Nung},
    publisher = {Association for Computational Linguistics},
    url = {https://aclanthology.org/2024.emnlp-main.34},
    address = {Miami, Florida, USA}
}

@article{Ruder2017a,
    title = {{A survey of cross-lingual word embedding models}},
    year = {2017},
    journal = {arXiv},
    author = {Ruder, Sebastian and Vulic, Ivan and S{\o}gaard, Anders},
    pages = {569--630},
    volume = {65},
    arxivId = {arXiv:1706.04902v4}
}

@article{Feng2021,
    title = {{A Survey of Data Augmentation Approaches for NLP}},
    year = {2021},
    author = {Feng, Steven and Gangal, Varun and Wei, Jason and Chandar, Sarath and Vosoughi, Soroush and Mitamura, Teruko and Hovy, Eduard},
    pages = {968--988},
    doi = {10.18653/v1/2021.findings-acl.84},
    arxivId = {2105.03075}
}

@article{Han2023,
    title = {{A survey of machine learning and deep learning in remote sensing of geological environment : Challenges, advances, and opportunities}},
    year = {2023},
    journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
    author = {Han, Wei and Zhang, Xiaohan and Wang, Yi and Wang, Lizhe and Huang, Xiaohui and Li, Jun and Wang, Sheng and Chen, Weitao and Li, Xianju and Feng, Ruyi and Fan, Runyu and Zhang, Xinyu and Wang, Yuewei},
    number = {December 2022},
    pages = {87--113},
    volume = {202},
    publisher = {Elsevier B.V.},
    url = {https://doi.org/10.1016/j.isprsjprs.2023.05.032},
    doi = {10.1016/j.isprsjprs.2023.05.032},
    issn = {0924-2716},
    keywords = {Deep learning, Geological applications, Geological environment, Machine learning, Remote sensing, geological environment}
}

@article{guidotti2018survey,
    title = {{A survey of methods for explaining black box models}},
    year = {2018},
    journal = {ACM computing surveys (CSUR)},
    author = {Guidotti, Riccardo and Monreale, Anna and Ruggieri, Salvatore and Turini, Franco and Giannotti, Fosca and Pedreschi, Dino},
    number = {5},
    pages = {1--42},
    volume = {51},
    publisher = {ACM New York, NY, USA}
}

@article{JRC2020,
    title = {{A Survey of Social Media Mining and Crowdsourcing Technologies for Emergency Response}},
    year = {2020},
    author = {{JRC}}
}

@article{Peng2024,
    title = {{A Survey of Useful LLM Evaluation}},
    year = {2024},
    author = {Peng, Ji-Lun and Cheng, Sijia and Diau, Egil and Shih, Yung-Yu and Chen, Po-Heng and Lin, Yen-Ting and Chen, Yun-Nung},
    url = {http://arxiv.org/abs/2406.00936},
    arxivId = {2406.00936}
}

@misc{Mehrabi2021,
    title = {{A Survey on Bias and Fairness in Machine Learning}},
    year = {2021},
    booktitle = {ACM Computing Surveys},
    author = {Mehrabi, Ninareh and Morstatter, Fred and Saxena, Nripsuta and Lerman, Kristina and Galstyan, Aram},
    number = {6},
    volume = {54},
    doi = {10.1145/3457607},
    issn = {15577341},
    arxivId = {1908.09635},
    keywords = {Fairness and bias in artificial intelligence, deep learning, machine learning, natural language processing, representation learning}
}

@article{Ma2020,
    title = {{A survey on empathetic dialogue systems}},
    year = {2020},
    journal = {Information Fusion},
    author = {Ma, Yukun and Nguyen, Khanh Linh and Xing, Frank Z. and Cambria, Erik},
    number = {May},
    pages = {50--70},
    volume = {64},
    publisher = {Elsevier B.V.},
    url = {https://doi.org/10.1016/j.inffus.2020.06.011},
    doi = {10.1016/j.inffus.2020.06.011},
    issn = {15662535},
    keywords = {Affective computing, Artificial intelligence, Dialogue systems}
}

@article{Chang2024,
    title = {{A Survey on Evaluation of Large Language Models}},
    year = {2024},
    journal = {ACM Transactions on Intelligent Systems and Technology},
    author = {Chang, Yupeng and Wang, Xu and Wang, Jindong and Wu, Yuan and Yang, Linyi and Zhu, Kaijie and Chen, Hao and Yi, Xiaoyuan and Wang, Cunxiang and Wang, Yidong and Ye, Wei and Zhang, Yue and Chang, Yi and Yu, Philip S. and Yang, Qiang and Xie, Xing},
    number = {3},
    volume = {15},
    doi = {10.1145/3641289},
    issn = {21576912},
    arxivId = {2307.03109},
    keywords = {Additional Key Words and PhrasesLarge language mod, benchmark, evaluation, model assessment}
}

@article{Ji2020,
    title = {{A Survey on Knowledge Graphs: Representation, Acquisition and Applications}},
    year = {2020},
    author = {Ji, Shaoxiong and Pan, Shirui and Cambria, Erik and Marttinen, Pekka and Yu, Philip S.},
    pages = {1--25},
    url = {http://arxiv.org/abs/2002.00388},
    arxivId = {2002.00388}
}

@article{Wang2023a,
    title = {{A Survey on Large Language Model based Autonomous Agents}},
    year = {2023},
    author = {Wang, Lei and Ma, Chen and Feng, Xueyang and Zhang, Zeyu and Yang, Hao and Zhang, Jingsen and Chen, Zhiyuan and Tang, Jiakai and Chen, Xu and Lin, Yankai and Zhao, Wayne Xin and Wei, Zhewei and Wen, Ji-Rong},
    url = {http://arxiv.org/abs/2308.11432},
    arxivId = {2308.11432}
}

@article{Xu2013,
    title = {{A Survey on Multi-view Learning}},
    year = {2013},
    author = {Xu, Chang and Tao, Dacheng and Xu, Chao},
    pages = {1--59},
    url = {http://arxiv.org/abs/1304.5634},
    isbn = {9781605585161},
    doi = {10.1145/1553374.1553391},
    issn = {1605585165},
    pmid = {8762716},
    arxivId = {1304.5634}
}

@article{Xu2013b,
    title = {{A Survey on Multi-view Learning}},
    year = {2013},
    author = {Xu, Chang and Tao, Dacheng and Xu, Chao},
    pages = {1--59},
    url = {http://arxiv.org/abs/1304.5634},
    isbn = {9781605585161},
    doi = {10.1145/1553374.1553391},
    issn = {1605585165},
    pmid = {8762716},
    arxivId = {1304.5634}
}

@article{Xu2013c,
    title = {{A Survey on Multi-view Learning}},
    year = {2013},
    author = {Xu, Chang and Tao, Dacheng and Xu, Chao},
    pages = {1--59},
    url = {http://arxiv.org/abs/1304.5634},
    isbn = {9781605585161},
    doi = {10.1145/1553374.1553391},
    issn = {1605585165},
    pmid = {8762716},
    arxivId = {1304.5634}
}

@article{Alam2021,
    title = {{A Survey on Multimodal Disinformation Detection}},
    year = {2021},
    author = {Alam, Firoj and Cresci, Stefano and Chakraborty, Tanmoy and Silvestri, Fabrizio and Dimitrov, Dimiter and Martino, Giovanni Da San and Shaar, Shaden and Firooz, Hamed and Nakov, Preslav},
    url = {http://arxiv.org/abs/2103.12541},
    arxivId = {2103.12541}
}

@article{Hardalov2021,
    title = {{A Survey on Stance Detection for Mis- and Disinformation Identification}},
    year = {2021},
    author = {Hardalov, Momchil and Arora, Arnav and Nakov, Preslav and Augenstein, Isabelle},
    url = {http://arxiv.org/abs/2103.00242},
    arxivId = {2103.00242}
}

@article{Han2022,
    title = {{A Survey on Vision Transformer}},
    year = {2022},
    journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
    author = {Han, Kai and Wang, Yunhe and Chen, Hanting and Chen, Xinghao and Guo, Jianyuan and Liu, Zhenhua and Tang, Yehui and Xiao, An and Xu, Chunjing and Xu, Yixing and Yang, Zhaohui and Zhang, Yiman and Tao, Dacheng},
    pages = {1--23},
    doi = {10.1109/TPAMI.2022.3152247},
    issn = {19393539},
    arxivId = {2012.12556},
    keywords = {Computational modeling, Computer Vision, Computer vision, Encoding, High-level vision, Low-level vision, Object detection, Self-attention, Task analysis, Transformer, Transformers, Video, Visualization}
}

@article{muruganantham2022systematic,
    title = {{A systematic literature review on crop yield prediction with deep learning and remote sensing}},
    year = {2022},
    journal = {Remote Sensing},
    author = {Muruganantham, Priyanga and Wibowo, Santoso and Grandhi, Srimannarayana and Samrat, Nahidul Hoque and Islam, Nahina},
    number = {9},
    pages = {1990},
    volume = {14},
    publisher = {MDPI}
}

@article{Bot2022,
    title = {{A Systematic Review of Applications of Machine Learning Techniques for Wildfire Management Decision Support}},
    year = {2022},
    journal = {Inventions},
    author = {Bot, Karol and Borges, José G.},
    number = {1},
    volume = {7},
    doi = {10.3390/inventions7010015},
    issn = {24115134},
    keywords = {Applications, Decision support, Machine learning, Review, Wildfires}
}

@article{Hall2022,
    title = {{A Systematic Study of Bias Amplification}},
    year = {2022},
    journal = {Trustworthy and Socially Responsible Machine Learning (TSRML) at Neurips},
    author = {Hall, Melissa and van der Maaten, Laurens and Gustafson, Laura and Jones, Maxwell and Adcock, Aaron},
    number = {1},
    volume = {1},
    publisher = {Association for Computing Machinery},
    url = {http://arxiv.org/abs/2201.11706},
    arxivId = {2201.11706}
}

@article{Campos2018,
    title = {{A text feature based automatic keyword extraction method for single documents}},
    year = {2018},
    journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    author = {Campos, Ricardo and Mangaravite, Vítor and Pasquali, Arian and Jorge, Alípio Mário and Nunes, Célia and Jatowt, Adam},
    number = {1},
    pages = {684--691},
    volume = {10772 LNCS},
    isbn = {9783319769400},
    doi = {10.1007/978-3-319-76941-7{\_}63},
    issn = {16113349},
    keywords = {Feature extraction, Information extraction, Keyword extraction}
}

@article{Kozlowski2020,
    title = {{A three-level classification of French tweets in ecological crises}},
    year = {2020},
    journal = {Information Processing and Management},
    author = {Kozlowski, Diego and Lannelongue, Elisa and Saudemont, Frédéric and Benamara, Farah and Mari, Alda and Moriceau, Véronique and Boumadane, Abdelmoumene},
    number = {5},
    volume = {57},
    doi = {10.1016/j.ipm.2020.102284},
    issn = {03064573},
    keywords = {Crisis response from social media, Machine learning, Natural language processing, Transfer learning}
}

@article{Bakhturina2021,
    title = {{A Toolbox for Construction and Analysis of Speech Datasets}},
    year = {2021},
    author = {Bakhturina, Evelina and Ginsburg, Boris and Clara, Santa},
    number = {NeurIPS}
}

@article{Cieliebak2017,
    title = {{A Twitter Corpus and Benchmark Resources for German Sentiment Analysis}},
    year = {2017},
    author = {Cieliebak, Mark and Deriu, Jan Milan and Egger, Dominic and Uzdilli, Fatih},
    pages = {45--51},
    doi = {10.18653/v1/w17-1106}
}

@article{Alam2018a,
    title = {{A twitter tale of three hurricanes: Harvey, Irma, and Maria}},
    year = {2018},
    journal = {Proceedings of the International ISCRAM Conference},
    author = {Alam, Firoj and Ofli, Ferda and Imran, Muhammad and Aupetit, Michael},
    pages = {553--572},
    volume = {2018-May},
    isbn = {9780692127605},
    issn = {24113387},
    arxivId = {1805.05144},
    keywords = {Disaster management, Image processing, Named-entity recognition, Social media, Text classification, Topic modeling}
}

@inproceedings{Lundberg2017shap,
    title = {{A Unified Approach to Interpreting Model Predictions}},
    year = {2017},
    booktitle = {NIPS},
    author = {Lundberg, Scott and Lee, Su-In},
    doi = {10.1016/j.ophtha.2018.11.016},
    issn = {15494713},
    pmid = {30553900}
}

@article{Gosling2003,
    title = {{A very brief measure of the Big-Five personality domains}},
    year = {2003},
    journal = {Journal of Research in Personality},
    author = {Gosling, Samuel D. and Rentfrow, Peter J. and Swann, William B.},
    number = {6},
    pages = {504--528},
    volume = {37},
    isbn = {1512471593},
    doi = {10.1016/S0092-6566(03)00046-1},
    issn = {00926566}
}

@article{Paudel2023,
    title = {{A weakly supervised framework for high-resolution crop yield forecasts}},
    year = {2023},
    journal = {Environmental Research Letters},
    author = {Paudel, Dilli and Marcos, Diego and de Wit, Allard and Boogaard, Hendrik and Athanasiadis, Ioannis N},
    number = {9},
    volume = {18},
    publisher = {IOP Publishing},
    doi = {10.1088/1748-9326/acf50e},
    issn = {17489326},
    arxivId = {2205.09016},
    keywords = {crop yield, deep learning, disaggregation, spatial variability, weak supervision}
}

@book{Yang2022,
    title = {{A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning}},
    year = {2022},
    booktitle = {SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval},
    author = {Yang, Ruichao and Ma, Jing and Lin, Hongzhan and Gao, Wei},
    number = {1},
    pages = {1761--1772},
    volume = {1},
    publisher = {Association for Computing Machinery},
    isbn = {9781450387323},
    doi = {10.1145/3477495.3531930},
    arxivId = {2204.02626},
    keywords = {hierarchical attention mechanism, mil, propagation tree, rumor verification, stance detection}
}

@inproceedings{Schlechtweg2019,
    title = {{A wind of change: Detecting and evaluating lexical semantic change across times and domains}},
    year = {2020},
    booktitle = {ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Schlechtweg, Dominik and H{\"{a}}tty, Anna and del Tredici, Marco and Walde, Sabine Schulte im},
    pages = {732--746},
    isbn = {9781950737482},
    doi = {10.18653/v1/p19-1072},
    arxivId = {1906.02979}
}

@article{Menini2021,
    title = {{Abuse is Contextual, What about NLP? The Role of Context in Abusive Language Annotation and Detection}},
    year = {2021},
    author = {Menini, Stefano and Aprosio, Alessio Palmero and Tonelli, Sara},
    url = {http://arxiv.org/abs/2103.14916},
    arxivId = {2103.14916}
}

@article{Lin2018,
    title = {{Acquiring background knowledge to improve moral value prediction}},
    year = {2018},
    journal = {Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018},
    author = {Lin, Ying and Hoover, Joe and Portillo-Wightman, Gwenyth and Park, Christina and Dehghani, Morteza and Ji, Heng},
    pages = {552--559},
    isbn = {9781538660515},
    doi = {10.1109/ASONAM.2018.8508244},
    arxivId = {1709.05467},
    keywords = {Background Knowledge, Entity Linking, Moral Value Prediction, Natural Language Processing}
}

@inproceedings{Parvaneh2022,
    title = {{Active Learning by Feature Mixing}},
    year = {2022},
    author = {Parvaneh, Amin and Abbasnejad, Ehsan and Teney, Damien and Haffari, Reza and Hengel, Anton van den and Shi, Javen Qinfeng},
    url = {http://arxiv.org/abs/2203.07034},
    arxivId = {2203.07034}
}

@article{Diao2023,
    title = {{Active Prompting with Chain-of-Thought for Large Language Models}},
    year = {2023},
    author = {Diao, Shizhe and Wang, Pengcheng and Lin, Yong and Zhang, Tong},
    url = {http://arxiv.org/abs/2302.12246},
    arxivId = {2302.12246}
}

@inproceedings{Cheung2022,
    title = {{AdaAug: LEARNING CLASS- AND INSTANCE- ADAPTIVE DATA AUGMENTATION POLICIES}},
    year = {2022},
    booktitle = {ICLR},
    author = {Cheung, Tsz-him and Yeung, Dit-yan},
    pages = {1--16}
}

@article{Kingma2014,
    title = {{Adam: A Method for Stochastic Optimization}},
    year = {2014},
    journal = {International Conference on Learning Representations},
    author = {Kingma, Diederik and Ba, Jimmy},
    pages = {1--13},
    url = {http://arxiv.org/abs/1412.6980},
    isbn = {9781450300728},
    doi = {http://doi.acm.org.ezproxy.lib.ucf.edu/10.1145/1830483.1830503},
    issn = {09252312},
    arxivId = {1412.6980}
}

@article{Biancardi2021,
    title = {{Adaptation Mechanisms in Human–Agent Interaction: Effects on User’s Impressions and Engagement}},
    year = {2021},
    journal = {Frontiers in Computer Science},
    author = {Biancardi, Beatrice and Dermouche, Soumia and Pelachaud, Catherine},
    number = {August},
    pages = {1--19},
    volume = {3},
    doi = {10.3389/fcomp.2021.696682},
    issn = {26249898},
    keywords = {adaptation mechanisms, embodied conversational agent (ECA), engagement, human–agent interaction, impressions}
}

@article{Poth2020,
    title = {{AdapterHub : A Framework for Adapting Transformers}},
    year = {2020},
    journal = {arXiv preprint arXiv:2007.07779},
    author = {Pfeiffer, Jonas and R{\"{u}}ckl{\'{e}}, Andreas and Poth, Clifton and Kamath, Aishwarya and Vulic, Ivan and Ruder, Sebastian and Cho, Kyunghyun and Gurevych, Iryna}
}

@article{Yu2019,
    title = {{Adapting BERT for target-oriented multimodal sentiment classification}},
    year = {2019},
    journal = {IJCAI International Joint Conference on Artificial Intelligence},
    author = {Yu, Jianfei and Jiang, Jing},
    pages = {5408--5414},
    volume = {2019-Augus},
    isbn = {9780999241141},
    doi = {10.24963/ijcai.2019/751},
    issn = {10450823},
    keywords = {Natural Language Processing: Natural Language Proc, Natural Language Processing: Sentiment Analysis an}
}

@inproceedings{Languages2000a,
    title = {{Adapting Brown and Levinson ’ s ‘ Politeness ’ Theory to the Analysis of Casual Conversation *}},
    year = {2000},
    author = {Languages, Middle Eastern and Clarke, Hugh},
    pages = {1--8}
}

@article{Zhang2023a,
    title = {{Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning}},
    year = {2023},
    author = {Zhang, Qingru and Chen, Minshuo and Bukharin, Alexander and He, Pengcheng and Cheng, Yu and Chen, Weizhu and Zhao, Tuo},
    pages = {1--17},
    url = {http://arxiv.org/abs/2303.10512},
    arxivId = {2303.10512}
}

@inproceedings{zhang2018adaptive,
    title = {{Adaptive co-attention network for named entity recognition in tweets}},
    year = {2018},
    booktitle = {Proceedings of the AAAI conference on artificial intelligence},
    author = {Zhang, Qi and Fu, Jinlan and Liu, Xiaoyu and Huang, Xuanjing},
    number = {1},
    volume = {32}
}

@article{Ribeiro2022,
    title = {{Adaptive Testing and Debugging of NLP Models}},
    year = {2022},
    journal = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Ribeiro, Marco Tulio and Lundberg, Scott M.},
    pages = {3253--3267},
    volume = {1},
    isbn = {9781955917216},
    doi = {10.18653/v1/2022.acl-long.230},
    issn = {0736587X}
}

@book{Yaneva2023,
    title = {{Advancing Natural Language Processing in Educational Assessment}},
    year = {2023},
    booktitle = {Advancing Natural Language Processing in Educational Assessment},
    author = {Yaneva, Victoria and von Davier, Matthias},
    pages = {1--250},
    publisher = {Routledge},
    isbn = {9781000904161},
    doi = {10.4324/9781003278658},
    keywords = {Advancing Natural Language Processing in Education, Matthias von Davier, NBME, NCME, NLP, National Board of Medical Examiners, National Council on Measurement in Education, Victoria Yaneva, artificial intelligence, automated text and speech scoring, automatic item generation, classroom assessment, deep neural networks, educational measurement, educational testing, fairness, gamification, language proficiency assessment, learner feedback, linguistic signal, multiple choice items, personalized learning, psychometrics, technology-assisted item generation, validity}
}

@article{Allaway2021,
    title = {{Adversarial Learning for Zero-Shot Stance Detection on Social Media}},
    year = {2021},
    author = {Allaway, Emily and Srikanth, Malavika and McKeown, Kathleen},
    number = {2019},
    pages = {4756--4767},
    doi = {10.18653/v1/2021.naacl-main.379},
    arxivId = {2105.06603}
}

@article{Nie2020,
    title = {{Adversarial NLI: A New Benchmark for Natural Language Understanding}},
    year = {2020},
    author = {Nie, Yixin and Williams, Adina and Dinan, Emily and Bansal, Mohit and Weston, Jason and Kiela, Douwe},
    pages = {4885--4901},
    doi = {10.18653/v1/2020.acl-main.441},
    arxivId = {1910.14599}
}

@inproceedings{Elazar2018,
    title = {{Adversarial removal of demographic attributes from text data}},
    year = {2018},
    booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018},
    author = {Elazar, Yanai and Goldberg, Yoav},
    pages = {11--21},
    isbn = {9781948087841},
    doi = {10.18653/v1/d18-1002},
    arxivId = {1808.06640}
}

@article{Aspandi2020,
    title = {{Adversarial-based neural networks for affect estimations in the wild}},
    year = {2020},
    author = {Aspandi, Decky and Mallol-Ragolta, Adria and Schuller, Björn and Binefa, Xavier},
    url = {http://arxiv.org/abs/2002.00883},
    arxivId = {2002.00883}
}

@inproceedings{Karimi2021a,
    title = {{AEDA: An Easier Data Augmentation Technique for Text Classification}},
    year = {2021},
    booktitle = {Findings of ACL: EMNLP 2021},
    author = {Karimi, Akbar and Rossi, Leonardo and Prati, Andrea},
    pages = {2748--2754},
    doi = {10.18653/v1/2021.findings-emnlp.234},
    arxivId = {2108.13230}
}

@inproceedings{Tao2022,
    title = {{AESPrompt: Self-supervised Constraints for Automated Essay Scoring with Prompt Tuning}},
    year = {2022},
    booktitle = {Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE},
    author = {Tao, Qiuyu and Zhong, Jiang and Li, Rongzhen},
    pages = {335--340},
    isbn = {1891706543},
    doi = {10.18293/SEKE2022-095},
    issn = {23259086},
    keywords = {Automated Essay Scoring, BERT, Prompt Tuning}
}

@book{picard2000affective,
    title = {{Affective computing}},
    year = {2000},
    author = {Picard, Rosalind W},
    publisher = {MIT press}
}

@inproceedings{Machajdik2010,
    title = {{Affective Image Classification using Features Inspired by Psychology and Art Theory}},
    year = {2010},
    booktitle = {MM'10, Firenze, Italy},
    author = {Machajdik, Jana and Hanbury, Allan},
    pages = {83--92},
    isbn = {9781605589336},
    keywords = {{\&} Hanbury, A. (2010, J., Machajdik, October). Affective image classification using fea}
}

@article{Wang2023b,
    title = {{Aggregating Multiple Heuristic Signals as Supervision for Unsupervised Automated Essay Scoring}},
    year = {2023},
    journal = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Wang, Cong and Jiang, Zhiwei and Yin, Yafeng and Cheng, Zifeng and Ge, Shiping and Gu, Qing},
    pages = {13999--14013},
    volume = {1},
    isbn = {9781959429722},
    doi = {10.18653/v1/2023.acl-long.782},
    issn = {0736587X}
}

@article{Zipper2018,
    title = {{Agricultural research using social media data}},
    year = {2018},
    journal = {Agronomy Journal},
    author = {Zipper, Samuel C.},
    number = {1},
    pages = {349--358},
    volume = {110},
    doi = {10.2134/agronj2017.08.0495},
    issn = {14350645}
}

@article{Zipper2018a,
    title = {{Agricultural research using social media data}},
    year = {2018},
    journal = {Agronomy Journal},
    author = {Zipper, Samuel C.},
    number = {1},
    pages = {349--358},
    volume = {110},
    doi = {10.2134/agronj2017.08.0495},
    issn = {14350645}
}

@article{Argyle23IAssistant,
    title = {{AI Chat Assistants can Improve Conversations about Divisive Topics}},
    year = {2023},
    journal = {ArXiv},
    author = {Argyle, Lisa P. and Busby, Ethan and Gubler, Joshua and Bail, Chris and Howe, Thomas and Rytting, Christopher and Wingate, David},
    arxivId = {arXiv:2302.07268v1}
}

@misc{Mankind2023,
    title = {{AI for Mankind}},
    year = {2023},
    booktitle = {https://github.com/aiformankind},
    author = {{AIforMankind}},
    url = {https://aiformankind.org/}
}

@article{DAndrimont2023,
    title = {{AI4Boundaries: an open AI-ready dataset to map field boundaries with Sentinel-2 and aerial photography}},
    year = {2023},
    journal = {Earth System Science Data},
    author = {D'Andrimont, Raphaël and Claverie, Martin and Kempeneers, Pieter and Muraro, Davide and Yordanov, Momchil and Peressutti, Devis and Bati{\v{c}}, Matej and Waldner, François},
    number = {1},
    pages = {317--329},
    volume = {15},
    doi = {10.5194/essd-15-317-2023}
}

@article{Imran2014,
    title = {{AIDR: Artificial intelligence for disaster response}},
    year = {2014},
    journal = {WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web},
    author = {Imran, Muhammad and Castillo, Carlos and Lucas, Ji and Meier, Patrick and Vieweg, Sarah},
    pages = {159--162},
    isbn = {9781450327459},
    doi = {10.1145/2567948.2577034},
    keywords = {Classification, Crowdsourcing, Online machine learning, Stream processing}
}

@inproceedings{Lan2020albert,
    title = {{ALBERT: A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS}},
    year = {2020},
    booktitle = {ICLR},
    author = {Lan, Zhenzhong and Chen, Mingda and Gimpel, Kevin and Goodman, Sebastian and Sharma, Piyush and Soricut, Radu}
}

@article{Polignano2019,
    title = {{AlBERTo: Italian BERT language understanding model for NLP challenging tasks based on tweets}},
    year = {2019},
    journal = {CEUR Workshop Proceedings},
    author = {Polignano, Marco and Basile, Pierpaolo and de Gemmis, Marco and Semeraro, Giovanni and Basile, Valerio},
    volume = {2481},
    issn = {16130073}
}

@inproceedings{canete-etal-2022-albeto,
    title = {{ALBETO and DistilBETO: Lightweight Spanish Language Models}},
    year = {2022},
    booktitle = {Proceedings of the Thirteenth Language Resources and Evaluation Conference},
    author = {Ca{\~{n}}ete, José and Donoso, Sebastian and Bravo-Marquez, Felipe and Carvallo, Andrés and Araujo, Vladimir},
    month = {6},
    pages = {4291--4298},
    publisher = {European Language Resources Association},
    url = {https://aclanthology.org/2022.lrec-1.457},
    address = {Marseille, France}
}

@misc{ALERTWildfire2023,
    title = {{ALERT Wildfire}},
    year = {2023},
    author = {{ALERTWildfire}},
    url = {https://www.alertwildfire.org}
}

@article{Huszar2022,
    title = {{Algorithmic amplification of politics on Twitter}},
    year = {2022},
    journal = {Proceedings of the National Academy of Sciences of the United States of America},
    author = {Husz{\'{a}}r, Ferenc and Ktena, Sofia Ira and OBrien, Conor and Belli, Luca and Schlaikjer, Andrew and Hardt, Moritz},
    number = {1},
    pages = {1--6},
    volume = {119},
    doi = {10.1073/pnas.2025334119},
    issn = {10916490},
    pmid = {34934011},
    arxivId = {2110.11010},
    keywords = {Algorithmic personalization, Media amplification, Political bias, Social media}
}

@article{Karras2021,
    title = {{Alias-Free Generative Adversarial Networks}},
    year = {2021},
    author = {Karras, Tero and Aittala, Miika and Laine, Samuli and H{\"{a}}rk{\"{o}}nen, Erik and Hellsten, Janne and Lehtinen, Jaakko and Aila, Timo},
    number = {NeurIPS},
    url = {http://arxiv.org/abs/2106.12423},
    arxivId = {2106.12423}
}

@inproceedings{Critch2021,
    title = {{Aligning AI With Shared Human Values}},
    year = {2021},
    booktitle = {ICLR},
    author = {Hendrycks, Dan and Burns, Collin and Basart, Steven and Critch, Andrew and Li, Jerry and Song, Dawn and Steinhardt, Jacob and Berkeley, U C},
    pages = {1--29}
}

@article{Hwang2023,
    title = {{Aligning Language Models to User Opinions}},
    year = {2023},
    journal = {Findings of the Association for Computational Linguistics: EMNLP 2023},
    author = {Hwang, Eun Jeong and Majumder, Bodhisattwa Prasad and Tandon, Niket},
    pages = {5906--5919},
    isbn = {9798891760615},
    doi = {10.18653/v1/2023.findings-emnlp.393},
    arxivId = {2305.14929}
}

@article{Sun2023,
    title = {{Aligning Large Multimodal Models with Factually Augmented RLHF}},
    year = {2023},
    author = {Sun, Zhiqing and Shen, Sheng and Cao, Shengcao and Liu, Haotian and Li, Chunyuan and Shen, Yikang and Gan, Chuang and Gui, Liang-Yan and Wang, Yu-Xiong and Yang, Yiming and Keutzer, Kurt and Darrell, Trevor},
    pages = {1--26},
    url = {http://arxiv.org/abs/2309.14525},
    arxivId = {2309.14525}
}

@article{Sun2023a,
    title = {{Aligning with Whom? Large Language Models Have Gender and Racial Biases in Subjective NLP Tasks}},
    year = {2023},
    author = {Sun, Huaman and Pei, Jiaxin and Choi, Minje and Jurgens, David},
    url = {http://arxiv.org/abs/2311.09730},
    arxivId = {2311.09730}
}

@article{Du2021,
    title = {{All NLP Tasks Are Generation Tasks: A General Pretraining Framework}},
    year = {2021},
    author = {Du, Zhengxiao and Qian, Yujie and Liu, Xiao and Ding, Ming and Qiu, Jiezhong and Yang, Zhilin and Tang, Jie},
    url = {http://arxiv.org/abs/2103.10360},
    arxivId = {2103.10360}
}

@article{Zheng2021,
    title = {{Allocating Large Vocabulary Capacity for Cross-lingual Language Model Pre-training}},
    year = {2021},
    author = {Zheng, Bo and Dong, Li and Huang, Shaohan and Singhal, Saksham and Che, Wanxiang and Liu, Ting and Song, Xia and Wei, Furu},
    url = {http://arxiv.org/abs/2109.07306},
    doi = {10.18653/v1/2021.emnlp-main.257},
    arxivId = {2109.07306}
}

@misc{alpaca_eval,
    title = {{AlpacaEval: An Automatic Evaluator of Instruction-following Models}},
    year = {2023},
    booktitle = {GitHub repository},
    author = {Li, Xuechen and Zhang, Tianyi and Dubois, Yann and Taori, Rohan and Gulrajani, Ishaan and Guestrin, Carlos and Liang, Percy and Hashimoto, Tatsunori B},
    publisher = {GitHub},
    howpublished = {{\textbackslash}url{\{}https://github.com/tatsu-lab/alpaca{\_}eval{\}}}
}

@article{Lin2019,
    title = {{AlpacaTag: An active learning-based crowd annotation framework for sequence tagging}},
    year = {2019},
    journal = {ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of System Demonstrations},
    author = {Lin, Bill Yuchen and Lee, Dong Ho and Xu, Frank F. and Lan, Ouyu and Ren, Xiang},
    pages = {58--63},
    isbn = {9781950737499},
    doi = {10.18653/v1/p19-3010}
}

@article{Chakrabarty2020,
    title = {{AmperSand: Argument mining for persuasive online discussions}},
    year = {2020},
    journal = {EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference},
    author = {Chakrabarty, Tuhin and Hidey, Christopher and Muresan, Smaranda and McKeown, Kathleen and Hwang, Alyssa},
    pages = {2933--2943},
    isbn = {9781950737901},
    arxivId = {arXiv:2004.14677v1}
}

@article{Mithra2022,
    title = {{An analysis of deep learning models for dry land farming applications}},
    year = {2022},
    journal = {Applied Geomatics},
    author = {Mithra, S. and Nagamalleswari, Tyj},
    number = {0123456789},
    publisher = {Springer Berlin Heidelberg},
    url = {https://doi.org/10.1007/s12518-022-00425-3},
    isbn = {0123456789},
    doi = {10.1007/s12518-022-00425-3},
    issn = {1866928X},
    keywords = {Crop prediction, Deep learning, Dry land, Smart farming, Soil management, UAV images}
}

@inproceedings{yalcin2019approximation,
    title = {{An approximation for a relative crop yield estimate from field images using deep learning}},
    year = {2019},
    booktitle = {2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)},
    author = {Yalcin, Hulya},
    pages = {1--6},
    organization = {IEEE}
}

@article{DeVenancio2022,
    title = {{An automatic fire detection system based on deep convolutional neural networks for low-power, resource-constrained devices}},
    year = {2022},
    journal = {Neural Computing and Applications},
    author = {de Ven{\^{a}}ncio, Pedro Vinícius A.B. and Lisboa, Adriano C. and Barbosa, Adriano V.},
    number = {18},
    pages = {15349--15368},
    volume = {34},
    isbn = {0052102207467},
    doi = {10.1007/s00521-022-07467-z},
    issn = {14333058},
    keywords = {Computational efficiency, Deep convolutional neural network, Filter pruning, Large-scale fire detection}
}

@article{Amigo2020,
    title = {{An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results}},
    year = {2020},
    author = {Amigo, Enrique and Gonzalo, Julio and Mizzaro, Stefano and Carrillo-de-Albornoz, Jorge},
    pages = {3938--3949},
    volume = {16},
    doi = {10.18653/v1/2020.acl-main.363},
    arxivId = {2006.01245}
}

@article{James2023,
    title = {{An Efficient Wildfire Detection System for AI-Embedded Applications Using Satellite Imagery}},
    year = {2023},
    journal = {Fire},
    author = {James, George L. and Ansaf, Ryeim B. and Al Samahi, Sanaa S. and Parker, Rebecca D. and Cutler, Joshua M. and Gachette, Rhode V. and Ansaf, Bahaa I.},
    number = {4},
    pages = {1--13},
    volume = {6},
    doi = {10.3390/fire6040169},
    issn = {25716255},
    keywords = {convolutional neural network, machine learning, remote sensing, satellite imagery, wildfire}
}

@inproceedings{Xie2023,
    title = {{An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models}},
    year = {2023},
    booktitle = {ACL},
    author = {Xie, Zhongbin and Lukasiewicz, Thomas},
    pages = {15730--15745},
    volume = {1},
    url = {http://arxiv.org/abs/2306.04067},
    arxivId = {2306.04067}
}

@article{Riordan2020,
    title = {{An empirical investigation of neural methods for content scoring of science explanations}},
    year = {2020},
    journal = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Riordan, Brian and Bichler, Sarah and Bradford, Allison and Chen, Jennifer King and Wiley, Korah and Gerard, Libby and Linn, Marcia C.},
    pages = {135--144},
    isbn = {9781952148187},
    doi = {10.18653/v1/2020.bea-1.13},
    issn = {0736587X}
}

@article{Zheng2022,
    title = {{An Empirical Study of Memorization in NLP}},
    year = {2022},
    journal = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Zheng, Xiaosen and Jiang, Jing},
    pages = {6265--6278},
    volume = {1},
    isbn = {9781955917216},
    doi = {10.18653/v1/2022.acl-long.434},
    issn = {0736587X},
    arxivId = {2203.12171}
}

@article{Chalkidis2020,
    title = {{An empirical study on large-scale multi-label text classification including few and zero-shot labels}},
    year = {2020},
    journal = {EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference},
    author = {Chalkidis, Ilias and Fergadiotis, Manos and Kotitsas, Sotiris and Malakasiotis, Prodromos and Aletras, Nikolaos and Androutsopoulos, Ion},
    pages = {7503--7515},
    isbn = {9781952148606},
    doi = {10.18653/v1/2020.emnlp-main.607},
    arxivId = {2010.01653}
}

@inproceedings{Maheshwari,
    title = {{An Ensemble Approach to Detect Emotions at an Essay Level}},
    year = {2022},
    booktitle = {WASSA},
    author = {Maheshwari, Himanshu and Varma, Vasudeva}
}

@article{DeMagistris2022,
    title = {{An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19}},
    year = {2022},
    journal = {Information (Switzerland)},
    author = {De Magistris, Giorgio and Russo, Samuele and Roma, Paolo and Starczewski, Janusz T. and Napoli, Christian},
    number = {3},
    pages = {1--14},
    volume = {13},
    doi = {10.3390/info13030137},
    issn = {20782489},
    keywords = {CNN, COVID-19, Explainable artificial intelligence, Fake news, Named entity recognition, Natural language processing, Vaccines}
}

@inproceedings{Dosovitskiy2021,
    title = {{An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale}},
    year = {2021},
    booktitle = {ICLR},
    author = {Dosovitskiy, Alexey and Beyer, Lucas and Kolesnikov, Alexander and Weissenborn, Dirk and Zhai, Xiaohua and Unterthiner, Thomas and Dehghani, Mostafa and Minderer, Matthias and Heigold, Georg and Gelly, Sylvain and Uszkoreit, Jakob and Houlsby, Neil},
    pages = {1--21},
    arxivId = {arXiv:2010.11929v1}
}

@article{Dosovitskiy2020,
    title = {{An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale}},
    year = {2020},
    author = {Dosovitskiy, Alexey and Beyer, Lucas and Kolesnikov, Alexander and Weissenborn, Dirk and Zhai, Xiaohua and Unterthiner, Thomas and Dehghani, Mostafa and Minderer, Matthias and Heigold, Georg and Gelly, Sylvain and Uszkoreit, Jakob and Houlsby, Neil},
    url = {http://arxiv.org/abs/2010.11929},
    arxivId = {2010.11929}
}

@article{Gal2022,
    title = {{An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion}},
    year = {2022},
    author = {Gal, Rinon and Alaluf, Yuval and Atzmon, Yuval and Patashnik, Or and Bermano, Amit H. and Chechik, Gal and Cohen-Or, Daniel},
    pages = {1--26},
    url = {http://arxiv.org/abs/2208.01618},
    arxivId = {2208.01618}
}

@inproceedings{Devatine2023,
    title = {{An Integrated Approach for Political Bias Prediction and Explanation Based on Discursive Structure}},
    year = {2023},
    booktitle = {Findings of ACL: ACL 2023},
    author = {Devatine, Nicolas and Muller, Philippe and Braud, Chloé},
    pages = {11196--11211}
}

@article{ansarifar2021interaction,
    title = {{An interaction regression model for crop yield prediction}},
    year = {2021},
    journal = {Scientific reports},
    author = {Ansarifar, Javad and Wang, Lizhi and Archontoulis, Sotirios V},
    number = {1},
    pages = {17754},
    volume = {11},
    publisher = {Nature Publishing Group UK London}
}

@inproceedings{StoehrLucasTorrobaHennigen2016,
    title = {{An Ordinal Latent Variable Model of Conflict Intensity}},
    year = {2022},
    author = {Niklas, Stoehr and Hennigen, Lucas Torroba and Josef, Valvoda and West, Robert and Cotterell, Ryan and Schein, Aaron},
    isbn = {2210.03971v1},
    arxivId = {2210.03971v1}
}

@article{Steinberger2014,
    title = {{An overview of the European Union ’ s highly multilingual parallel corpora An overview of the European Union ’ s highly multilingual parallel corpora}},
    year = {2014},
    author = {Steinberger, Ralf and Ebrahim, Mohamed and Poulis, Alexandros and Carrasco-benitez, Manuel and Przybyszewski, Marek and Gilbro, Signe and Steinberger, Ralf and Ebrahim, Mohamed and Gmbh, Cognizant-setcon and Poulis, Alexandros and Carrasco-benitez, Manuel and Przbyszewski, Marek and Gilbro, Signe},
    pages = {0--18}
}

@article{Schwartz2012,
    title = {{An Overview of the Schwartz Theory of Basic Values}},
    year = {2012},
    journal = {Online Readings in Psychology and Culture},
    author = {Schwartz, Shalom H.},
    number = {1},
    pages = {1--20},
    volume = {2},
    isbn = {9780984562701},
    doi = {10.9707/2307-0919.1116}
}

@article{Chen2010,
    title = {{An unsupervised automated essay-scoring system}},
    year = {2010},
    journal = {IEEE Intelligent Systems},
    author = {Chen, Yen Yu and Liu, Chien Liang and Lee, Chia Hoang and Chang, Tao Hsing},
    number = {5},
    pages = {61--67},
    volume = {25},
    publisher = {IEEE},
    doi = {10.1109/MIS.2010.3},
    issn = {15411672}
}

@phdthesis{barriere2019analyse,
    title = {{Analyse d'opinion dans les interactions orales}},
    year = {2019},
    author = {Barriere, Valentin},
    school = {Universit{\'{e}} Paris-Saclay}
}

@article{Hamon2015,
    title = {{Analyse des {\'{e}}motions , sentiments et opinions exprim{\'{e}}s dans les tweets : pr{\'{e}}sentation et r{\'{e}}sultats de l ’ {\'{e}}dition 2015 du d{\'{e}}fi fouille de texte ( DEFT )}},
    year = {2015},
    journal = {Actes de la 22e conf{\'{e}}rence sur le Traitement Automatique des Langues Naturelles},
    author = {Hamon, Thierry and Fraisse, Amel and Paroubek, Patrick and Zweigenbaum, Pierre and Grouin, Cyril},
    keywords = {Fouille d’opinion, analyse de sentiments, analyse d’{\'{e}}motions, campagne d’{\'{e}}valua- tion., r{\'{e}}seaux sociaux}
}

@article{Benamara2017,
    title = {{Analyse d’opinion et langage figuratif dans des tweets : pr{\'{e}}sentation et r{\'{e}}sultats du D{\'{e}}fi Fouille de Textes DEFT2017}},
    year = {2017},
    journal = {24e Conf{\'{e}}rence sur le Traitement Automatique des Langues Naturelles (TALN)},
    author = {Benamara, Farah and Grouin, Cyril and Karoui, Jihen},
    number = {June},
    pages = {1--12},
    volume = {2017},
    keywords = {Analyse d'opinions - Langage figuratif - Analyse d}
}

@article{Zubiaga2016,
    title = {{Analysing how people orient to and spread rumours in social media by looking at conversational threads}},
    year = {2016},
    journal = {PLoS ONE},
    author = {Zubiaga, Arkaitz and Liakata, Maria and Procter, Rob and Wong Sak Hoi, Geraldine and Tolmie, Peter},
    number = {3},
    pages = {1--33},
    volume = {11},
    doi = {10.1371/journal.pone.0150989},
    issn = {19326203},
    pmid = {26943909},
    arxivId = {1511.07487}
}

@article{Wiegmann2020,
    title = {{Analysis of Detection Models for Disaster-Related Tweets}},
    year = {2020},
    author = {Wiegmann, Matti and Kersten, Jens and Potthast, Martin},
    number = {May},
    doi = {10.5281/zenodo.3713920},
    keywords = {crisis management, evaluation framework, tweet filtering}
}

@article{Ofli2020,
    title = {{Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response}},
    year = {2020},
    author = {Ofli, Ferda and Alam, Firoj and Imran, Muhammad},
    number = {May 2020},
    volume = {1},
    url = {http://arxiv.org/abs/2004.11838},
    arxivId = {2004.11838},
    keywords = {crisis computing, multimedia content, multimodal deep learning, natural disasters, social media}
}

@article{Voita2020,
    title = {{Analyzing multi-head self-attention: Specialized heads do the heavy lifting, the rest can be pruned}},
    year = {2020},
    journal = {ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Voita, Elena and Talbot, David and Moiseev, Fedor and Sennrich, Rico and Titov, Ivan},
    pages = {5797--5808},
    isbn = {9781950737482},
    doi = {10.18653/v1/p19-1580},
    arxivId = {1905.09418}
}

@inproceedings{Vig2019,
    title = {{Analyzing the Structure of Attention in a Transformer Language Model}},
    year = {2019},
    booktitle = {2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP},
    author = {Vig, Jesse and Belinkov, Yonatan},
    pages = {63--76},
    doi = {10.18653/v1/w19-4808},
    arxivId = {1906.04284}
}

@inproceedings{Ribeiro2018,
    title = {{Anchors : High-Precision Model-Agnostic Explanations}},
    year = {2018},
    booktitle = {AAAI},
    author = {Ribeiro, Marco Tulio and Guestrin, Carlos},
    pages = {1527--1535},
    keywords = {Human AI Collaboration Track}
}

@article{Plaza-del-Arco2024,
    title = {{Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution}},
    year = {2024},
    author = {Plaza-del-Arco, Flor Miriam and Curry, Amanda Cercas and Curry, Alba and Abercrombie, Gavin and Hovy, Dirk},
    url = {http://arxiv.org/abs/2403.03121},
    arxivId = {2403.03121}
}

@article{Awal2020,
    title = {{AngryBERT : Joint Learning Target and Emotion for Hate Speech Detection}},
    year = {2020},
    author = {Awal, Rabiul and Cao, Rui and Lee, Roy Ka-wei and Mitrovi, Sandra},
    arxivId = {arXiv:2103.11800v1},
    keywords = {hate speech detection, multitask learning, social media}
}

@article{Wiebe2005,
    title = {{Annotating expressions of opinions and emotions in language}},
    year = {2005},
    journal = {Language Resources and Evaluation},
    author = {Wiebe, Janyce and Wilson, Theresa and Cardie, Claire},
    number = {2-3},
    pages = {165--210},
    volume = {39},
    isbn = {1574-020X},
    doi = {10.1007/s10579-005-7880-9},
    issn = {1574020X},
    keywords = {Affect, Attitudes, Corpus annotation, Emotion, Natural language processing, Opinions, Sentiment, Subjectivity}
}

@article{Vargas2021,
    title = {{Annotating Hate and Offenses on Social Media}},
    year = {2021},
    author = {Vargas, Francielle Alves and Carvalho, Isabelle and de G{\'{o}}es, Fabiana Rodrigues and de Souza, Fabrício Benevenuto and Pardo, Thiago Alexandre Salgueiro},
    url = {http://arxiv.org/abs/2103.14972},
    arxivId = {2103.14972}
}

@article{Gobbo2020,
    title = {{Annotation with adpositional argumentation}},
    year = {2020},
    journal = {Intelligenza Artificiale},
    author = {Gobbo, Federico and Benini, Marco and Wagemans, Jean H.M.},
    number = {2},
    pages = {155--172},
    volume = {13},
    doi = {10.3233/IA-190028},
    issn = {22110097},
    keywords = {Computational argumentation, argumentation theory, gold standard corpora, natural language processing, rhetoric}
}

@article{Sap2022,
    title = {{Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection}},
    year = {2022},
    journal = {NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference},
    author = {Sap, Maarten and Swayamdipta, Swabha and Vianna, Laura and Zhou, Xuhui and Choi, Yejin and Smith, Noah A.},
    pages = {5884--5906},
    isbn = {9781955917711},
    doi = {10.18653/v1/2022.naacl-main.431},
    arxivId = {2111.07997}
}

@inproceedings{Zhan2024,
    title = {{AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling}},
    year = {2024},
    booktitle = {ACL},
    author = {Zhan, Jun and Dai, Junqi and Ye, Jiasheng and Zhou, Yunhua and Zhang, Dong and Liu, Zhigeng and Zhang, Xin and Yuan, Ruibin and Zhang, Ge and Li, Linyang and Yan, Hang and Fu, Jie and Gui, Tao and Sun, Tianxiang and Jiang, Yu-gang and Qiu, Xipeng},
    pages = {9637--9662},
    volume = {1},
    url = {http://arxiv.org/abs/2402.12226},
    arxivId = {2402.12226}
}

@article{Behrendt2024,
    title = {{AQuA -- Combining Experts' and Non-Experts' Views To Assess Deliberation Quality in Online Discussions Using LLMs}},
    year = {2024},
    author = {Behrendt, Maike and Wagner, Stefan Sylvius and Ziegele, Marc and Wilms, Lena and Stoll, Anke and Heinbach, Dominique and Harmeling, Stefan},
    arxivId = {2404.02761},
    keywords = {adapter models, deliberative quality, quality score}
}

@article{Antoun2020,
    title = {{AraBERT: Transformer-based Model for Arabic Language Understanding}},
    year = {2020},
    author = {Antoun, Wissam and Baly, Fady and Hajj, Hazem},
    url = {http://arxiv.org/abs/2003.00104},
    arxivId = {2003.00104},
    keywords = {arabert, arabic, bert, language models, transformers}
}

@article{Wu2020,
    title = {{Are All Languages Created Equal in Multilingual BERT ?}},
    year = {2020},
    journal = {Workshop on Representation Learning for NLP (RepL4NLP-2020)},
    author = {Wu, Shijie and Dredze, Mark},
    pages = {120--130}
}

@article{Lu2023,
    title = {{Are Emergent Abilities in Large Language Models just In-Context Learning?}},
    year = {2024},
    journal = {ACL},
    author = {Lu, Sheng and Bigoulaeva, Irina and Sachdeva, Rachneet and Madabushi, Harish Tayyar and Gurevych, Iryna},
    pages = {5098--5139},
    volume = {1},
    url = {http://arxiv.org/abs/2309.01809},
    isbn = {9798891760943},
    issn = {0736587X},
    arxivId = {2309.01809}
}

@inproceedings{Schaeffer2023,
    title = {{Are Emergent Abilities of Large Language Models a Mirage?}},
    year = {2023},
    booktitle = {Neurips},
    author = {Schaeffer, Rylan and Miranda, Brando and Koyejo, Sanmi},
    pages = {1--14},
    url = {http://arxiv.org/abs/2304.15004},
    arxivId = {2304.15004}
}

@article{Joshi2023,
    title = {{Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-Text Rationales}},
    year = {2023},
    author = {Joshi, Brihi and Liu, Ziyi and Ramnath, Sahana and Chan, Aaron and Tong, Zhewei and Nie, Shaoliang and Wang, Qifan and Choi, Yejin and Ren, Xiang},
    url = {http://arxiv.org/abs/2305.07095},
    arxivId = {2305.07095}
}

@article{Michel2019,
    title = {{Are sixteen heads really better than one?}},
    year = {2019},
    journal = {arXiv},
    author = {Michel, Paul and Levy, Omer and Neubig, Graham},
    number = {NeurIPS},
    pages = {1--13},
    arxivId = {1905.10650}
}

@inproceedings{barriere-cifuentes-2024-text-classifiers,
    title = {{Are Text Classifiers Xenophobic? A Country-Oriented Bias Detection Method with Least Confounding Variables}},
    year = {2024},
    booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
    author = {Barriere, Valentin and Cifuentes, Sebastian},
    editor = {Calzolari, Nicoletta and Kan, Min-Yen and Hoste, Veronique and Lenci, Alessandro and Sakti, Sakriani and Xue, Nianwen},
    month = {5},
    pages = {1511--1518},
    publisher = {ELRA and ICCL},
    url = {https://aclanthology.org/2024.lrec-main.134},
    address = {Torino, Italia}
}

@article{Priban2021,
    title = {{Are the Multilingual Models Better? Improving Czech Sentiment with Transformers}},
    year = {2021},
    author = {P{\v{r}}ib{\'{a}}ň, Pavel and Steinberger, Josef},
    url = {http://arxiv.org/abs/2108.10640},
    arxivId = {2108.10640}
}

@article{Beyer2020,
    title = {{Are we done with ImageNet?}},
    year = {2020},
    author = {Beyer, Lucas and H{\'{e}}naff, Olivier J. and Kolesnikov, Alexander and Zhai, Xiaohua and Oord, Aäron van den},
    url = {http://arxiv.org/abs/2006.07159},
    arxivId = {2006.07159}
}

@article{Geva2019,
    title = {{Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets}},
    year = {2019},
    author = {Geva, Mor and Goldberg, Yoav and Berant, Jonathan},
    url = {http://arxiv.org/abs/1908.07898},
    arxivId = {1908.07898}
}

@inproceedings{Suwaileh2020,
    title = {{Are We Ready for this Disaster ? Towards Location Mention Recognition from Crisis Tweets}},
    year = {2020},
    booktitle = {Coling},
    author = {Suwaileh, Reem and Imran, Muhammad},
    pages = {6252--6263}
}

@article{Gao2015,
    title = {{Are you talking to a machine? Dataset and methods for multilingual image question answering}},
    year = {2015},
    journal = {Advances in Neural Information Processing Systems},
    author = {Gao, Haoyuan and Mao, Junhua and Zhou, Jie and Huang, Zhiheng and Wang, Lei and Xu, Wei},
    pages = {2296--2304},
    volume = {2015-Janua},
    issn = {10495258},
    arxivId = {1505.05612}
}

@article{Nguyen2018,
    title = {{Argument mining for improving the automated scoring of persuasive essays}},
    year = {2018},
    journal = {32nd AAAI Conference on Artificial Intelligence, AAAI 2018},
    author = {Nguyen, Huy V. and Litman, Diane J.},
    number = {md},
    pages = {5892--5899},
    isbn = {9781577358008},
    doi = {10.1609/aaai.v32i1.12046},
    issn = {2159-5399},
    keywords = {Natural Language Processing and Text Mining Track}
}

@article{Lippi2016,
    title = {{Argument mining from speech: Detecting claims in political debates}},
    year = {2016},
    journal = {30th AAAI Conference on Artificial Intelligence, AAAI 2016},
    author = {Lippi, Marco and Torroni, Paolo},
    pages = {2979--2985},
    isbn = {9781577357605},
    doi = {10.1609/aaai.v30i1.10384},
    issn = {2159-5399},
    keywords = {Technical Papers: Natural Language Processing and}
}

@article{Lawrence2019,
    title = {{Argument mining: A survey}},
    year = {2019},
    journal = {Computational Linguistics},
    author = {Lawrence, John and Reed, Chris},
    number = {4},
    pages = {765--818},
    volume = {45},
    doi = {10.1162/COLIa00364},
    issn = {15309312}
}

@article{Swanson2015,
    title = {{Argument mining: Extracting arguments from online dialogue}},
    year = {2015},
    journal = {SIGDIAL 2015 - 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Proceedings of the Conference},
    author = {Swanson, Reid and Ecker, Brian and Walker, Marilyn},
    number = {September},
    pages = {217--226},
    isbn = {9781941643754},
    doi = {10.18653/v1/w15-4631}
}

@article{Rago2024,
    title = {{Argumentation and Machine Learning}},
    year = {2024},
    author = {Rago, Antonio and {\v{C}}yras, Kristijonas and Mumford, Jack and Cocarascu, Oana},
    url = {http://arxiv.org/abs/2410.23724},
    arxivId = {2410.23724}
}

@article{Mochales2011,
    title = {{Argumentation mining}},
    year = {2011},
    journal = {Artificial Intelligence and Law},
    author = {Mochales, Raquel and Moens, Marie-francine},
    number = {1},
    pages = {1--22},
    volume = {19},
    url = {http://link.springer.com/article/10.1007/s10506-010-9104-x}
}

@inproceedings{Palau2009,
    title = {{Argumentation Mining: The Detection, Classification and Structure of Arguments in Text}},
    year = {2009},
    booktitle = {ICAIL},
    author = {Palau, Raquel Mochales and Moens, Marie-Francine},
    pages = {98--107}
}

@article{Cukurova2019,
    title = {{Artificial intelligence and multimodal data in the service of human decision-making: A case study in debate tutoring}},
    year = {2019},
    journal = {British Journal of Educational Technology},
    author = {Cukurova, Mutlu and Kent, Carmel and Luckin, Rosemary},
    number = {6},
    pages = {3032--3046},
    volume = {50},
    doi = {10.1111/bjet.12829},
    issn = {14678535}
}

@article{Tuia2023,
    title = {{Artificial intelligence to advance Earth observation: a perspective}},
    year = {2023},
    author = {Tuia, Devis and Schindler, Konrad and Demir, Begüm and Camps-Valls, Gustau and Zhu, Xiao Xiang and Kochupillai, Mrinalini and D{\v{z}}eroski, Sašo and van Rijn, Jan N. and Hoos, Holger H and Del Frate, Fabio and Datcu, Mihai and Quian{\'{e}}-Ruiz, Jorge-Arnulfo and Markl, Volker and Saux, Bertrand Le and Schneider, Rochelle},
    pages = {1--50},
    url = {http://arxiv.org/abs/2305.08413},
    arxivId = {2305.08413}
}

@inproceedings{Mathias,
    title = {{ASAP++: Enriching the ASAP automated essay grading dataset with essay attribute scores}},
    year = {2018},
    booktitle = {LREC 2018 - 11th International Conference on Language Resources and Evaluation},
    author = {Mathias, Sandeep and Bhattacharyya, Pushpak},
    pages = {1169--1173},
    isbn = {9791095546009},
    keywords = {Attribute-specific Essay Grading, Automatic Essay Grading}
}

@article{pena2015assessing,
    title = {{Assessing fruit-tree crop classification from Landsat-8 time series for the Maipo Valley, Chile}},
    year = {2015},
    journal = {Remote Sensing of Environment},
    author = {Pe{\~{n}}a, M A and Brenning, A},
    pages = {234--244},
    volume = {171},
    publisher = {Elsevier}
}

@book{Rahimi2017a,
    title = {{Assessing Students’ Use of Evidence and Organization in Response-to-Text Writing: Using Natural Language Processing for Rubric-Based Automated Scoring}},
    year = {2017},
    booktitle = {International Journal of Artificial Intelligence in Education},
    author = {Rahimi, Zahra and Litman, Diane and Correnti, Richard and Wang, Elaine and Matsumura, Lindsay Clare},
    number = {4},
    pages = {694--728},
    volume = {27},
    publisher = {International Journal of Artificial Intelligence in Education},
    isbn = {4059301701},
    doi = {10.1007/s40593-017-0143-2},
    issn = {15604306},
    keywords = {Analytical writing in response to text, Automatic essay assessment, Evidence, Feedback, Natural language processing, Organization, Task-dependent}
}

@article{Chakhar2020,
    title = {{Assessing the accuracy of multiple classification algorithms for crop classification using landsat-8 and sentinel-2 data}},
    year = {2020},
    journal = {Remote Sensing},
    author = {Chakhar, Amal and Ortega-Terol, Damián and Hern{\'{a}}ndez-L{\'{o}}pez, David and Ballesteros, Rocío and Ortega, José F. and Moreno, Miguel A.},
    number = {11},
    pages = {1--19},
    volume = {12},
    doi = {10.3390/rs12111735},
    issn = {20724292},
    keywords = {Crop classification, Irrigation, Land management, Landsat-8, Machine learning, Satellite-based remote sensing, Sentinel-2A}
}

@article{Osman2015,
    title = {{Assessment of a Markov logic model of crop rotations for early crop mapping}},
    year = {2015},
    journal = {Computers and Electronics in Agriculture},
    author = {Osman, Julien and Inglada, Jordi and Dejoux, Jean François},
    pages = {234--243},
    volume = {113},
    doi = {10.1016/j.compag.2015.02.015},
    issn = {01681699},
    keywords = {Crop rotations, Early crop type mapping, Markov logic networks}
}

@article{Rajda2022,
    title = {{Assessment of Massively Multilingual Sentiment Classifiers}},
    year = {2022},
    author = {Rajda, Krzysztof and Augustyniak, Łukasz and Gramacki, Piotr and Gruza, Marcin and Wo{\'{z}}niak, Szymon and Kajdanowicz, Tomasz},
    pages = {125--140},
    url = {http://arxiv.org/abs/2204.04937},
    arxivId = {2204.04937}
}

@article{Song2017,
    title = {{Associations between empathy and big five personality traits among Chinese undergraduate medical students}},
    year = {2017},
    journal = {PLoS ONE},
    author = {Song, Yang and Shi, Meng},
    number = {2},
    volume = {12},
    doi = {10.1371/journal.pone.0171665},
    issn = {19326203},
    pmid = {28187194}
}

@article{Javier2019,
    title = {{Asynchronous Pipeline for Processing Huge Corpora on Medium to Low Resource Infrastructures To cite this version : HAL Id : hal-02148693 Asynchronous Pipeline for Processing Huge Corpora on Medium to Low Resource Infrastructures}},
    year = {2019},
    author = {Javier, Pedro and Su{\'{a}}rez, Ortiz and Sagot, Benoît and Romary, Laurent and Javier, Pedro and Su{\'{a}}rez, Ortiz and Sagot, Benoît and Romary, Laurent and Pipeline, Asynchronous and Javier, Pedro and Su, Ortiz},
    pages = {9--16},
    volume = {2}
}

@article{Chefer2023,
    title = {{Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models}},
    year = {2023},
    author = {Chefer, Hila and Alaluf, Yuval and Vinker, Yael and Wolf, Lior and Cohen-Or, Daniel},
    number = {i},
    url = {http://arxiv.org/abs/2301.13826},
    arxivId = {2301.13826}
}

@article{Nagrani2021,
    title = {{Attention Bottlenecks for Multimodal Fusion}},
    year = {2021},
    journal = {Advances in Neural Information Processing Systems},
    author = {Nagrani, Arsha and Yang, Shan and Arnab, Anurag and Jansen, Aren and Schmid, Cordelia and Sun, Chen},
    number = {NeurIPS},
    pages = {14200--14213},
    volume = {17},
    isbn = {9781713845393},
    issn = {10495258},
    arxivId = {2107.00135}
}

@article{Vaswani2017,
    title = {{Attention Is All You Need}},
    year = {2017},
    journal = {arXiv:1706.03762 [cs]},
    author = {Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N. and Kaiser, Łukasz and Polosukhin, Illia}
}

@article{Wiegreffe2019,
    title = {{Attention is not not explanation}},
    year = {2019},
    journal = {EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference},
    author = {Wiegreffe, Sarah and Pinter, Yuval},
    pages = {11--20},
    isbn = {9781950737901},
    doi = {10.18653/v1/d19-1002},
    arxivId = {1908.04626}
}

@article{Kobayashi2020a,
    title = {{Attention is Not Only a Weight: Analyzing Transformers with Vector Norms}},
    year = {2020},
    author = {Kobayashi, Goro and Kuribayashi, Tatsuki and Yokoi, Sho and Inui, Kentaro},
    number = {Section 5},
    url = {http://arxiv.org/abs/2004.10102},
    arxivId = {2004.10102}
}

@article{Dong2017,
    title = {{Attention-based recurrent convolutional neural network for automatic essay scoring}},
    year = {2017},
    journal = {CoNLL 2017 - 21st Conference on Computational Natural Language Learning, Proceedings},
    author = {Dong, Fei and Zhang, Yue and Yang, Jie},
    pages = {153--162},
    isbn = {9781945626548},
    doi = {10.18653/v1/k17-1017}
}

@inproceedings{Barriere2018,
    title = {{Attitude Classification in Adjacency Pairs of a Human-Agent Interaction with Hidden Conditional Random Fields}},
    year = {2018},
    booktitle = {ICASSP},
    author = {Barriere, Valentin and Clavel, Chloe and Essid, Slim}
}

@article{Mialon,
    title = {{Augmented Language Models : a Survey}},
    journal = {arXiv},
    author = {Mialon, Grégoire and Dess{\`{i}}, Roberto and Lomeli, Maria and Nalmpantis, Christoforos and Pasunuru, Ram and Raileanu, Roberta and Rozi{\`{e}}re, Baptiste and Schick, Timo and Dwivedi-Yu, Jane and Asli, Celikyilmaz and Grave, Edouard and LeCun, Yann and Scialom, Thomas},
    pages = {1--33},
    arxivId = {arXiv:2302.07842v1}
}

@article{Mestre2023,
    title = {{Augmenting pre-trained language models with audio feature embedding for argumentation mining in political debates}},
    year = {2023},
    journal = {EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023},
    author = {Mestre, Rafael and Middleton, Stuart E. and Ryan, Matt and Gheasi, Masood and Norman, Timothy J. and Zhu, Jiatong},
    number = {Section 4},
    pages = {274--288},
    isbn = {9781959429470},
    doi = {10.18653/v1/2023.findings-eacl.21}
}

@inproceedings{Xie2022,
    title = {{Automated Essay Scoring via Pairwise Contrastive Regression}},
    year = {2022},
    booktitle = {Proceedings - International Conference on Computational Linguistics, COLING},
    author = {Xie, Jiayi and Cai, Kaiwei and Kong, Li and Zhou, Junsheng and Qu, Weiguang},
    number = {1},
    pages = {2724--2733},
    volume = {29},
    issn = {29512093}
}

@inproceedings{Ke2019a,
    title = {{Automated essay scoring: A survey of the state of the art}},
    year = {2019},
    booktitle = {IJCAI International Joint Conference on Artificial Intelligence},
    author = {Ke, Zixuan and Ng, Vincent},
    pages = {6300--6308},
    volume = {2019-Augus},
    isbn = {9780999241141},
    doi = {10.24963/ijcai.2019/879},
    issn = {10450823},
    keywords = {Natural Language Processing: NLP Applications and}
}

@article{Davidson2017,
    title = {{Automated hate speech detection and the problem of offensive language}},
    year = {2017},
    journal = {Proceedings of the 11th International Conference on Web and Social Media, ICWSM 2017},
    author = {Davidson, Thomas and Warmsley, Dana and Macy, Michael and Weber, Ingmar},
    pages = {512--515},
    isbn = {9781577357889},
    arxivId = {1703.04009}
}

@article{Zhang2020c,
    title = {{Automated topical component extraction using neural network attention scores from source-based essay scoring}},
    year = {2020},
    journal = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Zhang, Haoran and Litman, Diane},
    pages = {8569--8584},
    isbn = {9781952148255},
    doi = {10.18653/v1/2020.acl-main.759},
    issn = {0736587X},
    arxivId = {2008.01809}
}

@article{Gao2024,
    title = {{Automatic assessment of text-based responses in post-secondary education : A systematic review}},
    year = {2024},
    journal = {Computers and Education: Artificial Intelligence},
    author = {Gao, Rujun and Merzdorf, Hillary E and Anwar, Saira and Hipwell, M Cynthia and Srinivasa, Arun R},
    number = {September 2023},
    pages = {100206},
    volume = {6},
    publisher = {Elsevier Ltd},
    url = {https://doi.org/10.1016/j.caeai.2024.100206},
    doi = {10.1016/j.caeai.2024.100206},
    issn = {2666-920X},
    keywords = {Artificial intelligence, Automatic assessment, Natural language processing, Post-secondary education, Text-based responses, artificial intelligence, automatic assessment, natural language processing}
}

@article{Urrutia2023a,
    title = {{Automatic detection of incoherent written responses to open-ended mathematics questions of fourth graders}},
    year = {2023},
    journal = {MDPI Systems},
    author = {Urrutia Vargas, Felipe Ignacio and Araya, Roberto},
    pages = {0--35},
    keywords = {arguing and, communication, deep learning, elementary school, incoherent answer detection, mathematics education, natural language processing, online platform, open-ended, written short answers}
}

@article{Fernandes2022,
    title = {{Automatic Early Detection of Wildfire Smoke with Visible Light Cameras Using Deep Learning and Visual Explanation}},
    year = {2022},
    journal = {IEEE Access},
    author = {Fernandes, Armando M. and Utkin, Andrei B. and Chaves, Paulo},
    pages = {12814--12828},
    volume = {10},
    publisher = {IEEE},
    doi = {10.1109/ACCESS.2022.3145911},
    issn = {21693536},
    keywords = {EfficienNet, Grad-CAM, ResNet, Wildfire, deep learning, smoke detection}
}

@article{Fernandes2023,
    title = {{Automatic early detection of wildfire smoke with visible-light cameras and EfficientDet}},
    year = {2023},
    journal = {Journal of Fire Sciences},
    author = {Fernandes, Armando M. and Utkin, Andrei B. and Chaves, Paulo},
    doi = {10.1177/07349041231163451},
    issn = {15308049},
    keywords = {Automatic detection, forest fire, machine learning, wildfire}
}

@article{Atanasova2019,
    title = {{Automatic Fact-Checking Using Context and Discourse Information}},
    year = {2019},
    author = {Atanasova, Pepa and Nakov, Preslav and Karadzhov, Georgi and Mihaylova, Tsvetomila and Mohtarami, Mitra and Glass, James},
    arxivId = {arXiv:1908.01328v1}
}

@article{Zahra2020,
    title = {{Automatic identification of eyewitness messages on twitter during disasters}},
    year = {2020},
    journal = {Information Processing and Management},
    author = {Zahra, Kiran and Imran, Muhammad and Ostermann, Frank O.},
    number = {1},
    pages = {102107},
    volume = {57},
    publisher = {Elsevier},
    url = {https://doi.org/10.1016/j.ipm.2019.102107},
    doi = {10.1016/j.ipm.2019.102107},
    issn = {03064573},
    keywords = {Disaster response, Eyewitness identification, Machine learning, Social media}
}

@inproceedings{Nguyen2017b,
    title = {{Automatic image filtering on social networks using deep learning and perceptual hashing during crises}},
    year = {2017},
    booktitle = {Proceedings of the International ISCRAM Conference},
    author = {Nguyen, Dat T. and Alam, Firoj and Ofli, Ferda and Imran, Muhammad},
    pages = {499--511},
    volume = {2017-May},
    issn = {24113387},
    keywords = {Disaster management, Image processing, Social media, Supervised classification}
}

@article{Fan2018a,
    title = {{Automatic opioid user detection from Twitter: Transductive ensemble built on different meta-graph based similarities over heterogeneous information network}},
    year = {2018},
    journal = {IJCAI International Joint Conference on Artificial Intelligence},
    author = {Fan, Yujie and Zhang, Yiming and Ye, Yanfang and Li, Xin},
    number = {Cdc},
    pages = {3357--3363},
    volume = {2018-July},
    isbn = {9780999241127},
    doi = {10.24963/ijcai.2018/466},
    issn = {10450823},
    keywords = {Machine Learning Applications: Bio, Machine Learning: Classification, Machine Learning: Data Mining, Medicine}
}

@article{Park2014Automatic,
    title = {{Automatic personality assessment through social media language}},
    year = {2014},
    journal = {Journal of Personality and Social Psychology},
    author = {Park, Gregory and Schwartz, H. Andrew and Eichstaedt, Johannes C. and Kern, Margaret L and Kosinski, Michal and Stillwell, David J. and Ungar, Lyle H. and Seligman, Martin E.P.},
    doi = {10.1111/jopy.12674},
    issn = {14676494},
    pmid = {34536229},
    keywords = {big data, language, measurement, personality assessment, social media}
}

@article{Mairesse2006,
    title = {{Automatic recognition of personality in conversation}},
    year = {2006},
    journal = {Proceedings of the Human Language Technology Conference of the NAACL},
    author = {Mairesse, François and Walker, Marilyn a.},
    number = {June},
    pages = {85--88},
    doi = {10.3115/1614049.1614071},
    issn = {0749596X}
}

@article{Takano2022a,
    title = {{Automatic scoring of short answers using justification cues estimated by BERT}},
    year = {2022},
    journal = {BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings},
    author = {Takano, Shunya and Ichikawa, Osamu},
    number = {Bea},
    pages = {8--13},
    isbn = {9781955917834},
    doi = {10.18653/v1/2022.bea-1.2},
    keywords = {achieve, amounts of training data, many previous, question, sequences, specific to each, studies have created models, this paper aims to, with large}
}

@article{Chang2024b,
    title = {{Automatic Short Answer Grading for Finnish with ChatGPT}},
    year = {2024},
    journal = {Proceedings of the AAAI Conference on Artificial Intelligence},
    author = {Chang, Li Hsin and Ginter, Filip},
    number = {21},
    pages = {23173--23181},
    volume = {38},
    doi = {10.1609/aaai.v38i21.30363},
    issn = {23743468},
    keywords = {EAAI: Automatic Short Answer Grading (ASAG), EAAI: ChatGPT, EAAI: Finnish, EAAI: Large Language Model (LLM)}
}

@article{Condor2021a,
    title = {{Automatic short answer grading with SBERT on out-of-sample questions}},
    year = {2021},
    journal = {Proceedings of the 14th International Conference on Educational Data Mining, EDM 2021},
    author = {Condor, Aubrey and Litster, Max and Pardos, Zachary},
    number = {Edm},
    pages = {345--352},
    isbn = {9781733673624},
    keywords = {ASAG, Assessment, Generalizability, SBERT}
}

@article{Zhang2022b,
    title = {{Automatic Short Math Answer Grading via In-context Meta-learning}},
    year = {2022},
    journal = {Proceedings of the 15th International Conference on Educational Data Mining, EDM 2022},
    author = {Zhang, Mengxue and Baral, Sami and Heffernan, Neil and Lan, Andrew},
    isbn = {9781733673631},
    doi = {10.5281/zenodo.6853032},
    arxivId = {2205.15219},
    keywords = {Automated scoring, Math grading, Short-answer scoring}
}

@inproceedings{eilers2017automatic,
    title = {{Automatic smoothing of remote sensing data}},
    year = {2017},
    booktitle = {2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp)},
    author = {Eilers, Paul H C and Pesendorfer, Valentin and Bonifacio, Rogerio},
    pages = {1--3},
    organization = {IEEE}
}

@article{Colombo2021b,
    title = {{Automatic Text Evaluation through the Lens of Wasserstein Barycenters}},
    year = {2021},
    journal = {EMNLP},
    author = {Colombo, Pierre and Staerman, Guillaume and Clavel, Chloé and Piantanida, Pablo},
    pages = {10450--10466},
    volume = {1},
    doi = {10.18653/v1/2021.emnlp-main.817},
    arxivId = {2108.12463}
}

@inproceedings{Kusa2022,
    title = {{Automation of Citation Screening for Systematic Literature Reviews Using Neural Networks: A Replicability Study}},
    year = {2022},
    booktitle = {ECIR},
    author = {Kusa, Wojciech and Hanbury, Allan and Knoth, Petr},
    pages = {584--598},
    volume = {13185 LNCS},
    isbn = {9783030997359},
    doi = {10.1007/978-3-030-99736-6{\_}39},
    issn = {16113349},
    arxivId = {2201.07534},
    keywords = {Citation screening, Document retrieval, Replicability, Study selection, Systematic literature review (SLR)}
}

@article{Shin2020a,
    title = {{AUTOPROMPT: Eliciting knowledge from language models with automatically generated prompts}},
    year = {2020},
    journal = {EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference},
    author = {Shin, Taylor and Razeghi, Yasaman and Logan, Robert L. and Wallace, Eric and Singh, Sameer},
    pages = {4222--4235},
    isbn = {9781952148606},
    doi = {10.18653/v1/2020.emnlp-main.346},
    arxivId = {2010.15980}
}

@article{Park2023a,
    title = {{Avatar-Mediated Communication in Video Conferencing: Effect of Self-Affirmation on Debating Participation Focusing on Moderation Effect of Avatar}},
    year = {2023},
    journal = {International Journal of Human-Computer Interaction},
    author = {Park, Inyoung and Sah, Young June and Lee, Suhyun and Lee, Daeho},
    number = {3},
    pages = {464--475},
    volume = {39},
    publisher = {Taylor {\&} Francis},
    url = {https://doi.org/10.1080/10447318.2022.2041897},
    doi = {10.1080/10447318.2022.2041897},
    issn = {15327590}
}

@inproceedings{Sundararajan2017,
    title = {{Axiomatic attribution for deep networks}},
    year = {2017},
    booktitle = {34th International Conference on Machine Learning, ICML 2017},
    author = {Sundararajan, Mukund and Taly, Ankur and Yan, Qiqi},
    pages = {5109--5118},
    volume = {7},
    isbn = {9781510855144},
    arxivId = {1703.01365}
}

@inproceedings{Singh2024,
    title = {{Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning}},
    year = {2024},
    booktitle = {ACL},
    author = {Singh, Shivalika and Vargus, Freddie and Dsouza, Daniel and Karlsson, Börje F and Mahendiran, Abinaya and Ko, Wei-yin and Shandilya, Herumb and Patel, Jay and Mataciunas, Deividas and OMahony, Laura and Zhang, Mike and Hettiarachchi, Ramith and Wilson, Joseph and Machado, Marina and Moura, Luisa Souza and Krzemi{\'{n}}ski, Dominik and Fadaei, Hakimeh and Erg{\"{u}}n, Irem and Okoh, Ifeoma and Alaagib, Aisha and Mudannayake, Oshan and Alyafeai, Zaid and Chien, Vu Minh and Ruder, Sebastian and Guthikonda, Surya and Alghamdi, Emad A. and Gehrmann, Sebastian and Muennighoff, Niklas and Bartolo, Max and Kreutzer, Julia and {\"{U}}st{\"{u}}n, Ahmet and Fadaee, Marzieh and Hooker, Sara},
    url = {http://arxiv.org/abs/2402.06619},
    isbn = {9798891760943},
    issn = {0736587X},
    arxivId = {2402.06619}
}

@article{Bojanowski2016a,
    title = {{Bag of Tricks for Efficient Text Classification}},
    year = {2016},
    journal = {arXiv:1604.00289v1[cs.AI]},
    author = {Bojanowski, Piotr and Grave, Edouard and Joulin, Armand and Mikolov, Tomas and Grave, Edouard and Bojanowski, Piotr and Mikolov, Tomas and Lake, Brenden M. and Ullman, Tomer D. and Tenenbaum, Joshua B. and Gershman, Samuel J. and Schmidhuber, Jürgen},
    pages = {1--55},
    url = {http://arxiv.org/abs/1511.09249%5Cnhttps://arxiv.org/pdf/1604.00289v1.pdf%5Cnhttp://arxiv.org/abs/1607.01759%5Cnhttp://arxiv.org/abs/1607.04606},
    isbn = {9781577357384},
    doi = {1511.09249v1},
    issn = {10450823},
    pmid = {1000303116},
    arxivId = {1511.09249}
}

@article{Lewis2019,
    title = {{BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension}},
    year = {2019},
    author = {Lewis, Mike and Liu, Yinhan and Goyal, Naman and Ghazvininejad, Marjan and Mohamed, Abdelrahman and Levy, Omer and Stoyanov, Ves and Zettlemoyer, Luke},
    url = {http://arxiv.org/abs/1910.13461},
    arxivId = {1910.13461}
}

@article{DelGiudice2018,
    title = {{Basic functional trade-offs in cognition: An integrative framework}},
    year = {2018},
    journal = {Cognition},
    author = {Del Giudice, Marco and Crespi, Bernard J.},
    number = {June},
    pages = {56--70},
    volume = {179},
    doi = {10.1016/j.cognition.2018.06.008},
    issn = {18737838},
    pmid = {29909281},
    keywords = {Design, Efficiency, Flexibility, Performance, Robustness, Trade-offs}
}

@article{DABROWSKI2023100746,
    title = {{Bayesian Physics Informed Neural Networks for data assimilation and spatio-temporal modelling of wildfires}},
    year = {2023},
    journal = {Spatial Statistics},
    author = {Dabrowski, Joel Janek and Pagendam, Daniel Edward and Hilton, James and Sanderson, Conrad and MacKinlay, Daniel and Huston, Carolyn and Bolt, Andrew and Kuhnert, Petra},
    pages = {100746},
    volume = {55},
    url = {https://www.sciencedirect.com/science/article/pii/S2211675323000210},
    doi = {https://doi.org/10.1016/j.spasta.2023.100746},
    issn = {2211-6753},
    keywords = {B-PINN, Level-set method, Neural network, PINN, Uncertainty quantification, Variational inference}
}

@article{Cliche2017,
    title = {{BB{\_}twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and LSTMs}},
    year = {2017},
    journal = {SemEval-2017},
    author = {Cliche, Mathieu},
    number = {2014},
    pages = {573--580},
    url = {http://www.jstor.org/stable/258742},
    isbn = {03637425},
    doi = {10.5465/AMR.1994.9412190216},
    issn = {0363-7425},
    arxivId = {1704.06125}
}

@article{Chen2023e,
    title = {{BEATS: Audio Pre-Training with Acoustic Tokenizers}},
    year = {2023},
    journal = {Proceedings of Machine Learning Research},
    author = {Chen, Sanyuan and Wu, Yu and Wang, Chengyi and Liu, Shujie and Tompkins, Daniel and Chen, Zhuo and Che, Wanxiang and Yu, Xiangzhan and Wei, Furu},
    pages = {4672--4712},
    volume = {202},
    issn = {26403498},
    arxivId = {2212.09058}
}

@article{Chen2018c,
    title = {{Benchmark Dataset for Automatic Damaged Building Detection from Post-Hurricane Remotely Sensed Imagery}},
    year = {2018},
    author = {Chen, Sean Andrew and Escay, Andrew and Haberland, Christopher and Schneider, Tessa and Staneva, Valentina and Choe, Youngjun},
    pages = {1--8},
    url = {http://arxiv.org/abs/1812.05581},
    arxivId = {1812.05581}
}

@article{Mestre2022,
    title = {{Benchmark Evaluation for Tasks with Highly Subjective Crowdsourced Annotations: Case study in Argument Mining of Political Debates}},
    year = {2022},
    author = {Mestre, Rafael and Ryan, Matt and Middleton, Stuart E and Gomer, Richard and Gheasi, Masood and Zhu, Jiatong and Norman, Timothy J},
    number = {Geng 2016},
    url = {www.aaai.org}
}

@article{Dwivedi2020,
    title = {{Benchmarking graph neural networks}},
    year = {2020},
    journal = {arXiv},
    author = {Dwivedi, Vijay Prakash and Joshi, Chaitanya K. and Laurent, Thomas and Bengio, Yoshua and Bresson, Xavier},
    arxivId = {2003.00982}
}

@article{Yin2020,
    title = {{Benchmarking zero-shot text classification: Datasets, evaluation and entailment approach}},
    year = {2019},
    journal = {EMNLP-IJCNLP 2019},
    author = {Yin, Wenpeng and Hay, Jamaal and Roth, Dan},
    pages = {3914--3923},
    isbn = {9781950737901},
    doi = {10.18653/v1/d19-1404},
    arxivId = {1909.00161}
}

@inproceedings{Wang2019i,
    title = {{BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model}},
    year = {2019},
    booktitle = {Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation (NeuralGen)},
    author = {Wang, Alex and Cho, Kyunghyun},
    number = {2},
    pages = {30--36},
    volume = {1},
    url = {http://arxiv.org/abs/1902.04094},
    arxivId = {1902.04094}
}

@inproceedings{Devlin2018,
    title = {{BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding}},
    year = {2019},
    booktitle = {NAACL},
    author = {Devlin, Jacob and Chang, Ming-wei and Lee, Kenton and Toutanova, Kristina},
    arxivId = {arXiv:1810.04805v1}
}

@article{Zhang2019c,
    title = {{BERTScore: Evaluating Text Generation with BERT}},
    year = {2019},
    author = {Zhang, Tianyi and Kishore, Varsha and Wu, Felix and Weinberger, Kilian Q. and Artzi, Yoav},
    pages = {1--43},
    url = {http://arxiv.org/abs/1904.09675},
    arxivId = {1904.09675}
}

@article{Nguyen2020,
    title = {{BERTweet: A pre-trained language model for English Tweets}},
    year = {2020},
    author = {Nguyen, Dat Quoc and Vu, Thanh and Nguyen, Anh Tuan},
    url = {http://arxiv.org/abs/2005.10200},
    arxivId = {2005.10200}
}

@article{Liu2024a,
    title = {{Best Practices and Lessons Learned on Synthetic Data for Language Models}},
    year = {2024},
    author = {Liu, Ruibo and Wei, Jerry and Liu, Fangyu and Si, Chenglei and Zhang, Yanzhe and Rao, Jinmeng and Zheng, Steven and Peng, Daiyi and Yang, Diyi and Zhou, Denny and Dai, Andrew M.},
    pages = {1--26},
    url = {http://arxiv.org/abs/2404.07503},
    arxivId = {2404.07503}
}

@inproceedings{Wu2019b,
    title = {{Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT}},
    year = {2019},
    author = {Wu, Shijie and Dredze, Mark},
    arxivId = {arXiv:1904.09077v2}
}

@article{Ollapse2021,
    title = {{BETTER FINE-TUNING BY REDUCING REPRESENTATIONAL COLLAPSE}},
    year = {2021},
    author = {ICLR, Anonymous}
}

@article{Ribeiroa,
    title = {{Beyond Accuracy: Behavioral Testing of NLP Models}},
    year = {2020},
    journal = {ACL},
    author = {Ribeiro, Marco Tulio and Wu, Tongshuang and Guestrin, Carlos and Singh, Sameer}
}

@article{Mun2023,
    title = {{Beyond Denouncing Hate : Strategies for Countering Implied Biases and Stereotypes in Language}},
    year = {2023},
    author = {Mun, Jimin and Allaway, Emily and Yerukola, Akhila and Vianna, Laura and Leslie, Sarah-Jane and Sap, Maarten}
}

@article{Srivastava2022,
    title = {{Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models}},
    year = {2022},
    author = {Srivastava, Aarohi and Rastogi, Abhinav and Rao, Abhishek and Shoeb, Abu Awal Md and Abid, Abubakar and Fisch, Adam and Brown, Adam R. and Santoro, Adam and Gupta, Aditya and Garriga-Alonso, Adrià and Kluska, Agnieszka and Lewkowycz, Aitor and Agarwal, Akshat and Power, Alethea and Ray, Alex and Warstadt, Alex and Kocurek, Alexander W. and Safaya, Ali and Tazarv, Ali and Xiang, Alice and Parrish, Alicia and Nie, Allen and Hussain, Aman and Askell, Amanda and Dsouza, Amanda and Slone, Ambrose and Rahane, Ameet and Iyer, Anantharaman S. and Andreassen, Anders and Madotto, Andrea and Santilli, Andrea and Stuhlm{\"{u}}ller, Andreas and Dai, Andrew and La, Andrew and Lampinen, Andrew and Zou, Andy and Jiang, Angela and Chen, Angelica and Vuong, Anh and Gupta, Animesh and Gottardi, Anna and Norelli, Antonio and Venkatesh, Anu and Gholamidavoodi, Arash and Tabassum, Arfa and Menezes, Arul and Kirubarajan, Arun and Mullokandov, Asher and Sabharwal, Ashish and Herrick, Austin and Efrat, Avia and Erdem, Aykut and Karaka{\c{s}}, Ayla and Roberts, B. Ryan and Loe, Bao Sheng and Zoph, Barret and Bojanowski, Bartłomiej and {\"{O}}zyurt, Batuhan and Hedayatnia, Behnam and Neyshabur, Behnam and Inden, Benjamin and Stein, Benno and Ekmekci, Berk and Lin, Bill Yuchen and Howald, Blake and Orinion, Bryan and Diao, Cameron and Dour, Cameron and Stinson, Catherine and Argueta, Cedrick and Ram{\'{i}}rez, César Ferri and Singh, Chandan and Rathkopf, Charles and Meng, Chenlin and Baral, Chitta and Wu, Chiyu and Callison-Burch, Chris and Waites, Chris and Voigt, Christian and Manning, Christopher D. and Potts, Christopher and Ramirez, Cindy and Rivera, Clara E. and Siro, Clemencia and Raffel, Colin and Ashcraft, Courtney and Garbacea, Cristina and Sileo, Damien and Garrette, Dan and Hendrycks, Dan and Kilman, Dan and Roth, Dan and Freeman, Daniel and Khashabi, Daniel and Levy, Daniel and Gonz{\'{a}}lez, Daniel Moseguí and Perszyk, Danielle and Hernandez, Danny and Chen, Danqi and Ippolito, Daphne and Gilboa, Dar and Dohan, David and Drakard, David and Jurgens, David and Datta, Debajyoti and Ganguli, Deep and Emelin, Denis and Kleyko, Denis and Yuret, Deniz and Chen, Derek and Tam, Derek and Hupkes, Dieuwke and Misra, Diganta and Buzan, Dilyar and Mollo, Dimitri Coelho and Yang, Diyi and Lee, Dong-Ho and Schrader, Dylan and Shutova, Ekaterina and Cubuk, Ekin Dogus and Segal, Elad and Hagerman, Eleanor and Barnes, Elizabeth and Donoway, Elizabeth and Pavlick, Ellie and Rodola, Emanuele and Lam, Emma and Chu, Eric and Tang, Eric and Erdem, Erkut and Chang, Ernie and Chi, Ethan A. and Dyer, Ethan and Jerzak, Ethan and Kim, Ethan and Manyasi, Eunice Engefu and Zheltonozhskii, Evgenii and Xia, Fanyue and Siar, Fatemeh and Mart{\'{i}}nez-Plumed, Fernando and Happ{\'{e}}, Francesca and Chollet, Francois and Rong, Frieda and Mishra, Gaurav and Winata, Genta Indra and de Melo, Gerard and Kruszewski, Germán and Parascandolo, Giambattista and Mariani, Giorgio and Wang, Gloria and Jaimovitch-L{\'{o}}pez, Gonzalo and Betz, Gregor and Gur-Ari, Guy and Galijasevic, Hana and Kim, Hannah and Rashkin, Hannah and Hajishirzi, Hannaneh and Mehta, Harsh and Bogar, Hayden and Shevlin, Henry and Sch{\"{u}}tze, Hinrich and Yakura, Hiromu and Zhang, Hongming and Wong, Hugh Mee and Ng, Ian and Noble, Isaac and Jumelet, Jaap and Geissinger, Jack and Kernion, Jackson and Hilton, Jacob and Lee, Jaehoon and Fisac, Jaime Fernández and Simon, James B. and Koppel, James and Zheng, James and Zou, James and Koco{\'{n}}, Jan and Thompson, Jana and Wingfield, Janelle and Kaplan, Jared and Radom, Jarema and Sohl-Dickstein, Jascha and Phang, Jason and Wei, Jason and Yosinski, Jason and Novikova, Jekaterina and Bosscher, Jelle and Marsh, Jennifer and Kim, Jeremy and Taal, Jeroen and Engel, Jesse and Alabi, Jesujoba and Xu, Jiacheng and Song, Jiaming and Tang, Jillian and Waweru, Joan and Burden, John and Miller, John and Balis, John U. and Batchelder, Jonathan and Berant, Jonathan and Frohberg, Jörg and Rozen, Jos and Hernandez-Orallo, Jose and Boudeman, Joseph and Guerr, Joseph and Jones, Joseph and Tenenbaum, Joshua B. and Rule, Joshua S. and Chua, Joyce and Kanclerz, Kamil and Livescu, Karen and Krauth, Karl and Gopalakrishnan, Karthik and Ignatyeva, Katerina and Markert, Katja and Dhole, Kaustubh D. and Gimpel, Kevin and Omondi, Kevin and Mathewson, Kory and Chiafullo, Kristen and Shkaruta, Ksenia and Shridhar, Kumar and McDonell, Kyle and Richardson, Kyle and Reynolds, Laria and Gao, Leo and Zhang, Li and Dugan, Liam and Qin, Lianhui and Contreras-Ochando, Lidia and Morency, Louis-Philippe and Moschella, Luca and Lam, Lucas and Noble, Lucy and Schmidt, Ludwig and He, Luheng and Col{\'{o}}n, Luis Oliveros and Metz, Luke and {\c{S}}enel, Lütfi Kerem and Bosma, Maarten and Sap, Maarten and ter Hoeve, Maartje and Farooqi, Maheen and Faruqui, Manaal and Mazeika, Mantas and Baturan, Marco and Marelli, Marco and Maru, Marco and Quintana, Maria Jose Ramírez and Tolkiehn, Marie and Giulianelli, Mario and Lewis, Martha and Potthast, Martin and Leavitt, Matthew L. and Hagen, Matthias and Schubert, Mátyás and Baitemirova, Medina Orduna and Arnaud, Melody and McElrath, Melvin and Yee, Michael A. and Cohen, Michael and Gu, Michael and Ivanitskiy, Michael and Starritt, Michael and Strube, Michael and Sw{\c{e}}drowski, Michał and Bevilacqua, Michele and Yasunaga, Michihiro and Kale, Mihir and Cain, Mike and Xu, Mimee and Suzgun, Mirac and Walker, Mitch and Tiwari, Mo and Bansal, Mohit and Aminnaseri, Moin and Geva, Mor and Gheini, Mozhdeh and T, Mukund Varma and Peng, Nanyun and Chi, Nathan A. and Lee, Nayeon and Krakover, Neta Gur-Ari and Cameron, Nicholas and Roberts, Nicholas and Doiron, Nick and Martinez, Nicole and Nangia, Nikita and Deckers, Niklas and Muennighoff, Niklas and Keskar, Nitish Shirish and Iyer, Niveditha S. and Constant, Noah and Fiedel, Noah and Wen, Nuan and Zhang, Oliver and Agha, Omar and Elbaghdadi, Omar and Levy, Omer and Evans, Owain and Casares, Pablo Antonio Moreno and Doshi, Parth and Fung, Pascale and Liang, Paul Pu and Vicol, Paul and Alipoormolabashi, Pegah and Liao, Peiyuan and Liang, Percy and Chang, Peter and Eckersley, Peter and Htut, Phu Mon and Hwang, Pinyu and Mi{\l}kowski, Piotr and Patil, Piyush and Pezeshkpour, Pouya and Oli, Priti and Mei, Qiaozhu and Lyu, Qing and Chen, Qinlang and Banjade, Rabin and Rudolph, Rachel Etta and Gabriel, Raefer and Habacker, Rahel and Risco, Ramon and Milli{\`{e}}re, Raphaël and Garg, Rhythm and Barnes, Richard and Saurous, Rif A. and Arakawa, Riku and Raymaekers, Robbe and Frank, Robert and Sikand, Rohan and Novak, Roman and Sitelew, Roman and LeBras, Ronan and Liu, Rosanne and Jacobs, Rowan and Zhang, Rui and Salakhutdinov, Ruslan and Chi, Ryan and Lee, Ryan and Stovall, Ryan and Teehan, Ryan and Yang, Rylan and Singh, Sahib and Mohammad, Saif M. and Anand, Sajant and Dillavou, Sam and Shleifer, Sam and Wiseman, Sam and Gruetter, Samuel and Bowman, Samuel R. and Schoenholz, Samuel S. and Han, Sanghyun and Kwatra, Sanjeev and Rous, Sarah A. and Ghazarian, Sarik and Ghosh, Sayan and Casey, Sean and Bischoff, Sebastian and Gehrmann, Sebastian and Schuster, Sebastian and Sadeghi, Sepideh and Hamdan, Shadi and Zhou, Sharon and Srivastava, Shashank and Shi, Sherry and Singh, Shikhar and Asaadi, Shima and Gu, Shixiang Shane and Pachchigar, Shubh and Toshniwal, Shubham and Upadhyay, Shyam and {Shyamolima} and {Debnath} and Shakeri, Siamak and Thormeyer, Simon and Melzi, Simone and Reddy, Siva and Makini, Sneha Priscilla and Lee, Soo-Hwan and Torene, Spencer and Hatwar, Sriharsha and Dehaene, Stanislas and Divic, Stefan and Ermon, Stefano and Biderman, Stella and Lin, Stephanie and Prasad, Stephen and Piantadosi, Steven T. and Shieber, Stuart M. and Misherghi, Summer and Kiritchenko, Svetlana and Mishra, Swaroop and Linzen, Tal and Schuster, Tal and Li, Tao and Yu, Tao and Ali, Tariq and Hashimoto, Tatsu and Wu, Te-Lin and Desbordes, Théo and Rothschild, Theodore and Phan, Thomas and Wang, Tianle and Nkinyili, Tiberius and Schick, Timo and Kornev, Timofei and Tunduny, Titus and Gerstenberg, Tobias and Chang, Trenton and Neeraj, Trishala and Khot, Tushar and Shultz, Tyler and Shaham, Uri and Misra, Vedant and Demberg, Vera and Nyamai, Victoria and Raunak, Vikas and Ramasesh, Vinay and Prabhu, Vinay Uday and Padmakumar, Vishakh and Srikumar, Vivek and Fedus, William and Saunders, William and Zhang, William and Vossen, Wout and Ren, Xiang and Tong, Xiaoyu and Zhao, Xinran and Wu, Xinyi and Shen, Xudong and Yaghoobzadeh, Yadollah and Lakretz, Yair and Song, Yangqiu and Bahri, Yasaman and Choi, Yejin and Yang, Yichi and Hao, Yiding and Chen, Yifu and Belinkov, Yonatan and Hou, Yu and Hou, Yufang and Bai, Yuntao and Seid, Zachary and Zhao, Zhuoye and Wang, Zijian and Wang, Zijie J. and Wang, Zirui and Wu, Ziyi},
    url = {http://arxiv.org/abs/2206.04615},
    arxivId = {2206.04615}
}

@inproceedings{AlonsoAlemany2023,
    title = {{Bias assessment for experts in discrimination, not in computer science}},
    year = {2023},
    booktitle = {Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP)},
    author = {Alonso Alemany, Laura and Benotti, Luciana and Maina, Hernán and Gonzalez, Luc\'\ia and Mart{\textbackslash}'{\textbackslash}inez, Lautaro and Busaniche, Beatriz and Halvorsen, Alexia and Rojo, Amanda and Rajngewerc, Mariela},
    pages = {91--106},
    url = {https://aclanthology.org/2023.c3nlp-1.10}
}

@inproceedings{Goldfarb-Tarrant2023,
    title = {{Bias Beyond English : Counterfactual Tests for Bias in Sentiment Analysis in Four Languages}},
    year = {2023},
    booktitle = {Findings of ACL: ACL 2023},
    author = {Goldfarb-tarrant, Seraphina and Lopez, Adam and Blanco, Roi and Marcheggiani, Diego},
    pages = {4458--4468}
}

@inproceedings{Gupta2023a,
    title = {{Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs}},
    year = {2024},
    booktitle = {ICLR},
    author = {Gupta, Shashank and Shrivastava, Vaishnavi and Deshpande, Ameet and Kalyan, Ashwin and Clark, Peter and Sabharwal, Ashish and Khot, Tushar},
    url = {http://arxiv.org/abs/2311.04892},
    arxivId = {2311.04892}
}

@article{Patel2022,
    title = {{Bidirectional Language Models Are Also Few-shot Learners}},
    year = {2022},
    author = {Patel, Ajay and Li, Bryan and Rasooli, Mohammad Sadegh and Constant, Noah and Raffel, Colin and Callison-Burch, Chris},
    pages = {1--25},
    url = {http://arxiv.org/abs/2209.14500},
    arxivId = {2209.14500}
}

@article{zaheer2020big,
    title = {{Big bird: Transformers for longer sequences}},
    year = {2020},
    journal = {Advances in neural information processing systems},
    author = {Zaheer, Manzil and Guruganesh, Guru and Dubey, Kumar Avinava and Ainslie, Joshua and Alberti, Chris and Ontanon, Santiago and Pham, Philip and Ravula, Anirudh and Wang, Qifan and Yang, Li and {others}},
    pages = {17283--17297},
    volume = {33}
}

@article{Papineni2002,
    title = {{BLEU : a Method for Automatic Evaluation of Machine Translation}},
    year = {2002},
    author = {Papineni, Kishore and Roukos, Salim and Ward, Todd and Zhu, Wei-jing},
    number = {July},
    pages = {311--318}
}

@article{Sellam2020,
    title = {{BLEURT: Learning Robust Metrics for Text Generation}},
    year = {2020},
    author = {Sellam, Thibault and Das, Dipanjan and Parikh, Ankur},
    pages = {7881--7892},
    doi = {10.18653/v1/2020.acl-main.704},
    arxivId = {2004.04696}
}

@inproceedings{Orgad2022,
    title = {{BLIND: Bias Removal With No Demographics}},
    year = {2022},
    booktitle = {ACL},
    author = {Orgad, Hadas and Belinkov, Yonatan},
    pages = {8801--8821},
    volume = {1},
    url = {http://arxiv.org/abs/2212.10563},
    arxivId = {2212.10563}
}

@article{Li2023blip,
    title = {{BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models}},
    year = {2023},
    author = {Li, Junnan and Li, Dongxu and Savarese, Silvio and Hoi, Steven},
    arxivId = {arXiv:2301.12597v3}
}

@article{Li2022,
    title = {{BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation}},
    year = {2022},
    author = {Li, Junnan and Li, Dongxu and Xiong, Caiming and Hoi, Steven},
    number = {2},
    url = {http://arxiv.org/abs/2201.12086},
    arxivId = {2201.12086}
}

@article{Scao,
    title = {{BLOOM: A 176B-Parameter Open-Access Multilingual Language Model}},
    year = {2022},
    author = {Scao, Teven Le and Fan, Angela and Akiki, Christopher and Pavlick, Ellie and Ili{\'{c}}, Suzana and Hesslow, Daniel and Castagn{\'{e}}, Roman and Luccioni, Alexandra Sasha and Yvon, François and Gall{\'{e}}, Matthias and Tow, Jonathan and Rush, Alexander M. and Biderman, Stella and Webson, Albert and Ammanamanchi, Pawan Sasanka and Wang, Thomas and Sagot, Benoît and Muennighoff, Niklas and del Moral, Albert Villanova and Ruwase, Olatunji and Bawden, Rachel and Bekman, Stas and McMillan-Major, Angelina and Beltagy, Iz and Nguyen, Huu and Saulnier, Lucile and Tan, Samson and Suarez, Pedro Ortiz and Sanh, Victor and Lauren{\c{c}}on, Hugo and Jernite, Yacine and Launay, Julien and Mitchell, Margaret and Raffel, Colin and Gokaslan, Aaron and Simhi, Adi and Soroa, Aitor and Aji, Alham Fikri and Alfassy, Amit and Rogers, Anna and Nitzav, Ariel Kreisberg and Xu, Canwen and Mou, Chenghao and Emezue, Chris and Klamm, Christopher and Leong, Colin and van Strien, Daniel and Adelani, David Ifeoluwa and Radev, Dragomir and Ponferrada, Eduardo González and Levkovizh, Efrat and Kim, Ethan and Natan, Eyal Bar and De Toni, Francesco and Dupont, Gérard and Kruszewski, Germán and Pistilli, Giada and Elsahar, Hady and Benyamina, Hamza and Tran, Hieu and Yu, Ian and Abdulmumin, Idris and Johnson, Isaac and Gonzalez-Dios, Itziar and de la Rosa, Javier and Chim, Jenny and Dodge, Jesse and Zhu, Jian and Chang, Jonathan and Frohberg, Jörg and Tobing, Joseph and Bhattacharjee, Joydeep and Almubarak, Khalid and Chen, Kimbo and Lo, Kyle and Von Werra, Leandro and Weber, Leon and Phan, Long and Allal, Loubna Ben and Tanguy, Ludovic and Dey, Manan and Mu{\~{n}}oz, Manuel Romero and Masoud, Maraim and Grandury, María and {\v{S}}a{\v{s}}ko, Mario and Huang, Max and Coavoux, Maximin and Singh, Mayank and Jiang, Mike Tian-jian and Vu, Minh Chien and Jauhar, Mohammad A and Ghaleb, Mustafa and Subramani, Nishant and Kassner, Nora and Khamis, Nurulaqilla and Nguyen, Olivier and Espejel, Omar and de Gibert, Ona and Villegas, Paulo and Henderson, Peter and Colombo, Pierre and Amuok, Priscilla and Lhoest, Quentin and Harliman, Rheza and Bommasani, Rishi and L{\'{o}}pez, Roberto Luis and Ribeiro, Rui and Osei, Salomey and Pyysalo, Sampo and Nagel, Sebastian and Bose, Shamik and Muhammad, Shamsuddeen Hassan and Sharma, Shanya and Longpre, Shayne and Nikpoor, Somaieh and Silberberg, Stanislav and Pai, Suhas and Zink, Sydney and Torrent, Tiago Timponi and Schick, Timo and Thrush, Tristan and Danchev, Valentin and Nikoulina, Vassilina and Laippala, Veronika and Lepercq, Violette and Prabhu, Vrinda and Alyafeai, Zaid and Talat, Zeerak and Raja, Arun and Heinzerling, Benjamin and Si, Chenglei and Ta{\c{s}}ar, Davut Emre and Salesky, Elizabeth and Mielke, Sabrina J. and Lee, Wilson Y. and Sharma, Abheesht and Santilli, Andrea and Chaffin, Antoine and Stiegler, Arnaud and Datta, Debajyoti and Szczechla, Eliza and Chhablani, Gunjan and Wang, Han and Pandey, Harshit and Strobelt, Hendrik and Fries, Jason Alan and Rozen, Jos and Gao, Leo and Sutawika, Lintang and Bari, M Saiful and Al-shaibani, Maged S. and Manica, Matteo and Nayak, Nihal and Teehan, Ryan and Albanie, Samuel and Shen, Sheng and Ben-David, Srulik and Bach, Stephen H. and Kim, Taewoon and Bers, Tali and Fevry, Thibault and Neeraj, Trishala and Thakker, Urmish and Raunak, Vikas and Tang, Xiangru and Yong, Zheng-Xin and Sun, Zhiqing and Brody, Shaked and Uri, Yallow and Tojarieh, Hadar and Roberts, Adam and Chung, Hyung Won and Tae, Jaesung and Phang, Jason and Press, Ofir and Li, Conglong and Narayanan, Deepak and Bourfoune, Hatim and Casper, Jared and Rasley, Jeff and Ryabinin, Max and Mishra, Mayank and Zhang, Minjia and Shoeybi, Mohammad and Peyrounette, Myriam and Patry, Nicolas and Tazi, Nouamane and Sanseviero, Omar and von Platen, Patrick and Cornette, Pierre and Lavall{\'{e}}e, Pierre François and Lacroix, Rémi and Rajbhandari, Samyam and Gandhi, Sanchit and Smith, Shaden and Requena, Stéphane and Patil, Suraj and Dettmers, Tim and Baruwa, Ahmed and Singh, Amanpreet and Cheveleva, Anastasia and Ligozat, Anne-Laure and Subramonian, Arjun and N{\'{e}}v{\'{e}}ol, Aurélie and Lovering, Charles and Garrette, Dan and Tunuguntla, Deepak and Reiter, Ehud and Taktasheva, Ekaterina and Voloshina, Ekaterina and Bogdanov, Eli and Winata, Genta Indra and Schoelkopf, Hailey and Kalo, Jan-Christoph and Novikova, Jekaterina and Forde, Jessica Zosa and Clive, Jordan and Kasai, Jungo and Kawamura, Ken and Hazan, Liam and Carpuat, Marine and Clinciu, Miruna and Kim, Najoung and Cheng, Newton and Serikov, Oleg and Antverg, Omer and van der Wal, Oskar and Zhang, Rui and Zhang, Ruochen and Gehrmann, Sebastian and Mirkin, Shachar and Pais, Shani and Shavrina, Tatiana and Scialom, Thomas and Yun, Tian and Limisiewicz, Tomasz and Rieser, Verena and Protasov, Vitaly and Mikhailov, Vladislav and Pruksachatkun, Yada and Belinkov, Yonatan and Bamberger, Zachary and Kasner, Zdeněk and Rueda, Alice and Pestana, Amanda and Feizpour, Amir and Khan, Ammar and Faranak, Amy and Santos, Ana and Hevia, Anthony and Unldreaj, Antigona and Aghagol, Arash and Abdollahi, Arezoo and Tammour, Aycha and HajiHosseini, Azadeh and Behroozi, Bahareh and Ajibade, Benjamin and Saxena, Bharat and Ferrandis, Carlos Muñoz and McDuff, Daniel and Contractor, Danish and Lansky, David and David, Davis and Kiela, Douwe and Nguyen, Duong A. and Tan, Edward and Baylor, Emi and Ozoani, Ezinwanne and Mirza, Fatima and Ononiwu, Frankline and Rezanejad, Habib and Jones, Hessie and Bhattacharya, Indrani and Solaiman, Irene and Sedenko, Irina and Nejadgholi, Isar and Passmore, Jesse and Seltzer, Josh and Sanz, Julio Bonis and Dutra, Livia and Samagaio, Mairon and Elbadri, Maraim and Mieskes, Margot and Gerchick, Marissa and Akinlolu, Martha and McKenna, Michael and Qiu, Mike and Ghauri, Muhammed and Burynok, Mykola and Abrar, Nafis and Rajani, Nazneen and Elkott, Nour and Fahmy, Nour and Samuel, Olanrewaju and An, Ran and Kromann, Rasmus and Hao, Ryan and Alizadeh, Samira and Shubber, Sarmad and Wang, Silas and Roy, Sourav and Viguier, Sylvain and Le, Thanh and Oyebade, Tobi and Le, Trieu and Yang, Yoyo and Nguyen, Zach and Kashyap, Abhinav Ramesh and Palasciano, Alfredo and Callahan, Alison and Shukla, Anima and Miranda-Escalada, Antonio and Singh, Ayush and Beilharz, Benjamin and Wang, Bo and Brito, Caio and Zhou, Chenxi and Jain, Chirag and Xu, Chuxin and Fourrier, Clémentine and Peri{\~{n}}{\'{a}}n, Daniel León and Molano, Daniel and Yu, Dian and Manjavacas, Enrique and Barth, Fabio and Fuhrimann, Florian and Altay, Gabriel and Bayrak, Giyaseddin and Burns, Gully and Vrabec, Helena U. and Bello, Imane and Dash, Ishani and Kang, Jihyun and Giorgi, John and Golde, Jonas and Posada, Jose David and Sivaraman, Karthik Rangasai and Bulchandani, Lokesh and Liu, Lu and Shinzato, Luisa and de Bykhovetz, Madeleine Hahn and Takeuchi, Maiko and P{\`{a}}mies, Marc and Castillo, Maria A and Nezhurina, Marianna and S{\"{a}}nger, Mario and Samwald, Matthias and Cullan, Michael and Weinberg, Michael and De Wolf, Michiel and Mihaljcic, Mina and Liu, Minna and Freidank, Moritz and Kang, Myungsun and Seelam, Natasha and Dahlberg, Nathan and Broad, Nicholas Michio and Muellner, Nikolaus and Fung, Pascale and Haller, Patrick and Chandrasekhar, Ramya and Eisenberg, Renata and Martin, Robert and Canalli, Rodrigo and Su, Rosaline and Su, Ruisi and Cahyawijaya, Samuel and Garda, Samuele and Deshmukh, Shlok S and Mishra, Shubhanshu and Kiblawi, Sid and Ott, Simon and Sang-aroonsiri, Sinee and Kumar, Srishti and Schweter, Stefan and Bharati, Sushil and Laud, Tanmay and Gigant, Théo and Kainuma, Tomoya and Kusa, Wojciech and Labrak, Yanis and Bajaj, Yash Shailesh and Venkatraman, Yash and Xu, Yifan and Xu, Yingxin and Xu, Yu and Tan, Zhe and Xie, Zhongli and Ye, Zifan and Bras, Mathilde and Belkada, Younes and Wolf, Thomas},
    url = {http://arxiv.org/abs/2211.05100},
    arxivId = {2211.05100}
}

@article{Barriere2023RSE,
    title = {{Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data}},
    year = {2024},
    journal = {Remote Sensing of Environment},
    author = {Barriere, Valentin and Claverie, Martin and Schneider, Maja and Lemoine, Guido and D'Andrimont, Raphaël}
}

@article{Yao2017,
    title = {{Boosting Image Captioning with Attributes}},
    year = {2017},
    journal = {Proceedings of the IEEE International Conference on Computer Vision},
    author = {Yao, Ting and Pan, Yingwei and Li, Yehao and Qiu, Zhaofan and Mei, Tao},
    pages = {4904--4912},
    volume = {2017-Octob},
    isbn = {9781538610329},
    doi = {10.1109/ICCV.2017.524},
    issn = {15505499},
    arxivId = {1611.01646}
}

@article{Li2022b,
    title = {{Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models}},
    year = {2022},
    author = {Li, Margaret and Gururangan, Suchin and Dettmers, Tim and Lewis, Mike and Althoff, Tim and Smith, Noah A. and Zettlemoyer, Luke},
    pages = {1--29},
    url = {http://arxiv.org/abs/2208.03306},
    arxivId = {2208.03306}
}

@article{Lepori2023b,
    title = {{Break It Down: Evidence for Structural Compositionality in Neural Networks}},
    year = {2023},
    author = {Lepori, Michael A. and Serre, Thomas and Pavlick, Ellie},
    number = {NeurIPS},
    pages = {1--38},
    url = {http://arxiv.org/abs/2301.10884},
    arxivId = {2301.10884}
}

@article{Russwurm2019,
    title = {{Breizhcrops: a satellite time series dataset for crop type identification}},
    year = {2019},
    journal = {Time Series Workshop of the 36th ICML},
    author = {Ru{\ss}wurm, Marc and Lef{\`{e}}vre, Sébastien and K{\"{o}}rner, Marco}
}

@article{Hessenthaler2022,
    title = {{Bridging Fairness and Environmental Sustainability in Natural Language Processing}},
    year = {2022},
    journal = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022},
    author = {Hessenthaler, Marius and Strubell, Emma and Hovy, Dirk and Lauscher, Anne},
    pages = {7817--7836},
    arxivId = {2211.04256}
}

@article{Finocchiaro2021,
    title = {{Bridging machine learning and mechanism design towards algorithmic fairness}},
    year = {2021},
    journal = {FAccT 2021 - Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency},
    author = {Finocchiaro, Jessie and Maio, Roland and Monachou, Faidra and Patro, Gourab K. and Raghavan, Manish and Stoica, Ana Andreea and Tsirtsis, Stratis},
    pages = {489--503},
    isbn = {9781450383097},
    doi = {10.1145/3442188.3445912},
    arxivId = {2010.05434}
}

@article{Mendelsohn2023,
    title = {{Bridging Nations: Quantifying the Role of Multilinguals in Communication on Social Media}},
    year = {2023},
    author = {Mendelsohn, Julia and Ghosh, Sayan and Jurgens, David and Budak, Ceren},
    url = {http://arxiv.org/abs/2304.03797},
    arxivId = {2304.03797}
}

@article{Brunila2021,
    title = {{Bridging the gap between supervised classification and unsupervised topicmodelling for social-media assisted crisis management}},
    year = {2021},
    author = {Brunila, Mikael and Zhao, Rosie and Mircea, Andrei and Lumley, Sam and Sieber, Renee},
    arxivId = {arXiv:2103.11835v1}
}

@article{Derczynski2016,
    title = {{Broad twitter corpus: A diverse named entity recognition resource}},
    year = {2016},
    journal = {COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers},
    author = {Derczynski, Leon and Bontcheva, Kalina and Roberts, Ian},
    pages = {1169--1179},
    isbn = {9784879747020}
}

@article{You2016,
    title = {{Building a large scale dataset for image emotion recognition: The fine print and the benchmark}},
    year = {2016},
    journal = {30th AAAI Conference on Artificial Intelligence, AAAI 2016},
    author = {You, Quanzeng and Luo, Jiebo and Jin, Hailin and Yang, Jianchao},
    pages = {308--314},
    isbn = {9781577357605},
    arxivId = {1605.02677}
}

@article{Brum2017,
    title = {{Building a Sentiment Corpus of Tweets in Brazilian Portuguese}},
    year = {2018},
    journal = {Proceedings of the 11th International Conference on Language Resources and Evaluation},
    author = {Brum, Henrico Bertini and Nunes, Maria das Graças Volpe},
    number = {2012},
    pages = {4167--4172},
    url = {http://arxiv.org/abs/1712.08917},
    isbn = {9791095546009},
    arxivId = {1712.08917},
    keywords = {Corpus Annotation, Sentiment Analysis, Social Media}
}

@article{Wachsmuth2017,
    title = {{Building an argument search engine for the web}},
    year = {2017},
    journal = {EMNLP 2017 - Proceedings of the 4th Workshop on Argument Mining, ArgMining 2017},
    author = {Wachsmuth, Henning and Potthast, Martin and Al-Khatib, Khalid and Ajjour, Yamen and Puschmann, Jana and Qu, Jiani and Dorsch, Jonas and Morari, Viorel and Bevendorff, Janek and Stein, Benno},
    pages = {49--59},
    isbn = {9781945626845},
    doi = {10.18653/v1/w17-5106}
}

@article{Weber2020a,
    title = {{Building Disaster Damage Assessment in Satellite Imagery with Multi-Temporal Fusion}},
    year = {2020},
    journal = {IEEE transactions on pattern analysis and machine intelligence},
    author = {Weber, Ethan and Kan{\'{e}}, Hassan},
    pages = {1--7},
    url = {http://arxiv.org/abs/2004.05525},
    arxivId = {2004.05525}
}

@article{Serban2015,
    title = {{Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models}},
    year = {2015},
    author = {Serban, Iulian V. and Sordoni, Alessandro and Bengio, Yoshua and Courville, Aaron and Pineau, Joelle},
    url = {http://arxiv.org/abs/1507.04808},
    isbn = {9781577357605},
    doi = {10.1017/CBO9781107415324.004},
    issn = {10495258},
    pmid = {25246403},
    arxivId = {1507.04808}
}

@article{Ulmer2024,
    title = {{Calibrating Large Language Models Using Their Generations Only}},
    year = {2024},
    author = {Ulmer, Dennis and Gubri, Martin and Lee, Hwaran and Yun, Sangdoo and Oh, Seong Joon},
    url = {http://arxiv.org/abs/2403.05973},
    isbn = {9798891760943},
    issn = {0736587X},
    arxivId = {2403.05973}
}

@inproceedings{Martin2020,
    title = {{CamemBERT: a Tasty French Language Model}},
    year = {2020},
    booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
    author = {Martin, Louis and Muller, Benjamin and Javier, Ortiz Suarez Pedro and Dupont, Yoann and Romary, Laurent and Villemonte de la Clergerie, Eric and Seddah, Djamé and Sagot, Benoît}
}

@article{Newton2013,
    title = {{Can Globish be the Language of the World ? Examining the Effectiveness of Using Highly Simplified English in International Education}},
    year = {2013},
    journal = {Literacy Information and Computer Education Journal (LICEJ), Volume 4, Issue 3, September 2013 Can},
    author = {Newton, Kristine},
    number = {3},
    pages = {1166--1170},
    volume = {4}
}

@inproceedings{Rescala2024,
    title = {{Can Language Models Recognize Convincing Arguments?}},
    year = {2024},
    booktitle = {EMNLP},
    author = {Rescala, Paula Dolores and Ribeiro, Manoel Horta and Hu, Tiancheng and West, Robert},
    arxivId = {arXiv:2404.00750v2}
}

@inproceedings{Mansour2024,
    title = {{Can Large Language Models Automatically Score Proficiency of Written Essays?}},
    year = {2024},
    booktitle = {2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings},
    author = {Mansour, Watheq and Albatarni, Salam and Eltanbouly, Sohaila and Elsayed, Tamer},
    pages = {2777--2786},
    isbn = {9782493814104},
    arxivId = {2403.06149},
    keywords = {Automated Essay Scoring, ChatGPT, Llama, Natural Language Processing}
}

@article{Ziems2023b,
    title = {{Can Large Language Models Transform Computational Social Science?}},
    year = {2023},
    journal = {Computational Linguistics},
    author = {Ziems, Caleb and Held, William and Shaikh, Omar and Chen, Jiaao and Zhang, Zhehao and Yang, Diyi},
    number = {1},
    pages = {237--291},
    volume = {50},
    doi = {10.1162/coli{\_}a{\_}00502},
    issn = {15309312},
    arxivId = {2305.03514}
}

@article{castelvecchi2016can,
    title = {{Can we open the black box of AI?}},
    year = {2016},
    journal = {Nature News},
    author = {Castelvecchi, Davide},
    number = {7623},
    pages = {20},
    volume = {538}
}

@inproceedings{Vinciarelli2009,
    title = {{Canal9: A database of political debates for analysis of social interactions}},
    year = {2009},
    booktitle = {Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009},
    author = {Vinciarelli, A. and Dielmann, A. and Favre, S. and Salamin, H.},
    isbn = {9781424447992},
    doi = {10.1109/ACII.2009.5349466},
    issn = {142444800X}
}

@article{Sosea2020,
    title = {{CANCEREMO: A dataset for fine-grained emotion detection}},
    year = {2020},
    journal = {EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference},
    author = {Sosea, Tiberiu and Caragea, Cornelia},
    pages = {8892--8904},
    isbn = {9781952148606},
    doi = {10.18653/v1/2020.emnlp-main.715}
}

@article{Allem2020,
    title = {{Cannabis surveillance with twitter data: Emerging topics and social bots}},
    year = {2020},
    journal = {American Journal of Public Health},
    author = {Allem, Jon Patrick and Escobedo, Patricia and Dharmapuri, Likhit},
    number = {3},
    pages = {357--362},
    volume = {110},
    doi = {10.2105/AJPH.2019.305461},
    issn = {15410048},
    pmid = {31855475}
}

@article{Alkhalifa2021,
    title = {{Capturing Stance Dynamics in Social Media: Open Challenges and Research Directions}},
    year = {2021},
    author = {Alkhalifa, Rabab and Zubiaga, Arkaitz},
    pages = {1--24},
    url = {http://arxiv.org/abs/2109.00475},
    arxivId = {2109.00475},
    keywords = {digital media, human communication, public opinion mining}
}

@article{Saravia2020,
    title = {{Carer: Contextualized affect representations for emotion recognition}},
    year = {2020},
    journal = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018},
    author = {Saravia, Elvis and Toby Liu, Hsien Chi and Huang, Yen Hao and Wu, Junlin and Chen, Yi Shin},
    pages = {3687--3697},
    isbn = {9781948087841}
}

@article{McCloskey1989,
    title = {{Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem}},
    year = {1989},
    journal = {Psychology of Learning and Motivation - Advances in Research and Theory},
    author = {McCloskey, Michael and Cohen, Neal J.},
    number = {C},
    pages = {109--165},
    volume = {24},
    doi = {10.1016/S0079-7421(08)60536-8},
    issn = {00797421}
}

@article{Moyal2018,
    title = {{Categorized Affective Pictures Database (CAP-D)}},
    year = {2018},
    journal = {Journal of Cognition},
    author = {Moyal, Natali and Henik, Avishai and Anholt, Gideon E.},
    number = {1},
    pages = {1--12},
    volume = {1},
    doi = {10.5334/joc.47},
    issn = {2514-4820},
    keywords = {1994, categorisation, emotion and cognition, emotional experience has an, evaluate the environ-, evolutionary role in our, experience makes it a, frijda, highly significant subject for, important, lives, ment and guides our, mesquita, reaction to different situations, research, since it helps us, stimulus development, the importance of emotional, theories about the evalu-, there are two main}
}

@article{Garcia2022,
    title = {{CatLC: Catalonia Multiresolution Land Cover Dataset}},
    year = {2022},
    journal = {Scientific Data},
    author = {Garc{\'{i}}a, Carlos and Mora, Oscar and P{\'{e}}rez-Arag{\"{u}}{\'{e}}s, Fernando and Vitri{\`{a}}, Jordi},
    number = {1},
    pages = {1--13},
    volume = {9},
    isbn = {4159702201},
    doi = {10.1038/s41597-022-01674-y},
    issn = {20524463},
    pmid = {36075903}
}

@article{Anand2011,
    title = {{Cats Rule and Dogs Drool!: Classifying Stance in Online Debate}},
    year = {2011},
    journal = {Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA 2011)},
    author = {Anand, Pranav and Walker, Marilyn and Abbott, Rob and Tree, Jean E Fox and Bowmani, Robeson and Minor, Michael},
    pages = {1--9},
    url = {http://www.aclweb.org/anthology/W11-1701},
    isbn = {9781937284060}
}

@inproceedings{Biancardi2021CATS,
    title = {{CATS2021: International Workshop on Corpora And Tools for Social skills annotation}},
    year = {2021},
    booktitle = {ICMI '21: Proceedings of the 2021 International Conference on Multimodal Interaction},
    author = {Biancardi, Beatrice and Ceccaldi, Eleonora and Clavel, Chloé and Chollet, Mathieu and Dinkar, Tanvi}
}

@article{Wu2021a,
    title = {{Causal Distillation for Language Models}},
    year = {2021},
    author = {Wu, Zhengxuan and Geiger, Atticus and Rozner, Josh and Kreiss, Elisa and Lu, Hanson and Icard, Thomas and Potts, Christopher and Goodman, Noah D.},
    url = {http://arxiv.org/abs/2112.02505},
    arxivId = {2112.02505}
}

@article{Moraffah2020,
    title = {{Causal Interpretability for Machine Learning - Problems, Methods and Evaluation}},
    year = {2020},
    journal = {ACM SIGKDD Explorations Newsletter},
    author = {Moraffah, Raha and Karami, Mansooreh and Guo, Ruocheng and Raglin, Adrienne and Liu, Huan},
    number = {1},
    pages = {18--33},
    volume = {22},
    doi = {10.1145/3400051.3400058},
    issn = {1931-0145},
    arxivId = {2003.03934},
    keywords = {for measuring interpretability, which can help practitioners}
}

@inproceedings{Zhu2023,
    title = {{Causal Intervention for Mitigating Name Bias in Machine Reading Comprehension}},
    year = {2023},
    booktitle = {Findings of ACL: ACL 2023},
    author = {Zhu, Jiazheng and Wu, Shaojuan and Zhang, Xiaowang and Hou, Yuexian and Feng, Zhiyong},
    number = {2021},
    pages = {12837--12852}
}

@article{Vig2020,
    title = {{Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias}},
    year = {2020},
    author = {Vig, Jesse and Gehrmann, Sebastian and Belinkov, Yonatan and Qian, Sharon and Nevo, Daniel and Sakenis, Simas and Huang, Jason and Singer, Yaron and Shieber, Stuart},
    number = {NeurIPS},
    pages = {1--14},
    volume = {2},
    url = {http://arxiv.org/abs/2004.12265},
    arxivId = {2004.12265}
}

@article{Pais2019,
    title = {{Cell2Fire: A Cell Based Forest Fire Growth Model}},
    year = {2019},
    author = {Pais, Cristobal and Carrasco, Jaime and Martell, David L. and Weintraub, Andres and Woodruff, David L.},
    pages = {1--47},
    url = {http://arxiv.org/abs/1905.09317},
    arxivId = {1905.09317}
}

@article{Shi2024a,
    title = {{Chain of Tools: Large Language Model is an Automatic Multi-tool Learner}},
    year = {2024},
    author = {Shi, Zhengliang and Gao, Shen and Chen, Xiuyi and Feng, Yue and Yan, Lingyong and Shi, Haibo and Yin, Dawei and Chen, Zhumin and Verberne, Suzan and Ren, Zhaochun},
    pages = {1--28},
    url = {http://arxiv.org/abs/2405.16533},
    arxivId = {2405.16533}
}

@article{Wei2022,
    title = {{Chain-of-Thought Prompting Elicits Reasoning in Large Language Models}},
    year = {2022},
    author = {Wei, Jason and Wang, Xuezhi and Schuurmans, Dale and Bosma, Maarten and Ichter, Brian and Xia, Fei and Chi, Ed and Le, Quoc and Zhou, Denny},
    number = {NeurIPS},
    pages = {1--43},
    url = {http://arxiv.org/abs/2201.11903},
    arxivId = {2201.11903}
}

@article{Wang2024e,
    title = {{Chain-of-Thought Reasoning Without Prompting}},
    year = {2024},
    author = {Wang, Xuezhi and Zhou, Denny},
    pages = {1--23},
    arxivId = {arXiv:2402.10200v1}
}

@inproceedings{Hershcovich2022,
    title = {{Challenges and Strategies in Cross-Cultural NLP}},
    year = {2022},
    booktitle = {Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
    author = {Hershcovich, Daniel and Frank, Stella and Lent, Heather and de Lhoneux, Miryam and Abdou, Mostafa and Brandl, Stephanie and Bugliarello, Emanuele and Cabello Piqueras, Laura and Chalkidis, Ilias and Cui, Ruixiang and Fierro, Constanza and Margatina, Katerina and Rust, Phillip and S{\o}gaard, Anders},
    pages = {6997--7013},
    doi = {10.18653/v1/2022.acl-long.482},
    arxivId = {2203.10020}
}

@article{Arora2019,
    title = {{Character level embedding with deep convolutional neural network for text normalization of unstructured data for Twitter sentiment analysis}},
    year = {2019},
    journal = {Social Network Analysis and Mining},
    author = {Arora, Monika and Kansal, Vineet},
    number = {1},
    pages = {0},
    volume = {9},
    publisher = {Springer Vienna},
    url = {http://dx.doi.org/10.1007/s13278-019-0557-y},
    isbn = {0123456789},
    doi = {10.1007/s13278-019-0557-y},
    issn = {18695469},
    keywords = {Convolutional neural network, Opinion mining, Phonetic algorithm, SemEval dataset, Soundex}
}

@article{Rashid2018,
    title = {{Characterizing interactions and relationships between people}},
    year = {2018},
    journal = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018},
    author = {Rashid, Farzana and Blanco, Eduardo},
    number = {d},
    pages = {4395--4404},
    isbn = {9781948087841},
    doi = {10.18653/v1/d18-1470}
}

@article{Cardil2023,
    title = {{Characterizing the rate of spread of large wildfires in emerging fire environments of northwestern Europe using Visible Infrared Imaging Radiometer Suite active fire data}},
    year = {2023},
    journal = {Natural Hazards and Earth System Sciences},
    author = {Cardil, Adrian and Tapia, Victor M. and Monedero, Santiago and Quinones, Tomas and Little, Kerryn and Stoof, Cathelijne R. and Ramirez, Joaquin and De-Miguel, Sergio},
    number = {1},
    pages = {361--373},
    volume = {23},
    doi = {10.5194/nhess-23-361-2023},
    issn = {16849981}
}

@article{Chiang2024,
    title = {{Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference}},
    year = {2024},
    journal = {Proceedings of the 41 st International Conference on Machine Learning},
    author = {Chiang, Wei Lin and Zheng, Lianmin and Sheng, Ying and Angelopoulos, Anastasios N. and Li, Tianle and Li, Dacheng and Zhu, Banghua and Zhang, Hao and Jordan, Michael I. and Gonzalez, Joseph E. and Stoica, Ion},
    pages = {8359--8388},
    volume = {235},
    issn = {26403498},
    arxivId = {2403.04132}
}

@misc{Schulman2022,
    title = {{ChatGPT: Optimizing Language Models for Dialogue}},
    year = {2022},
    booktitle = {https://openai.com/blog/chatgpt/},
    author = {Schulman, John and Zoph, Barret and Kim, Christina and Hilton, Jacob and Menick, Jacob and Weng, Jiayi and Uribe, Juan Felipe Ceron and Fedus, Liam and Metz, Luke and Pokorny, Michael and Lopes, Rapha Gontijo and Zhao, Shengjia and Vijayvergiya, Arun and Sigler, Eric and Perelman, Adam and Voss, Chelsea and Heaton, Mike and Parish, Joel and Cummings, Dave and Nayak, Rajeev and Balcom, Valerie and Schnurr, David and Kaftan, Tomer and Hallacy, Chris and Turley, Nicholas and Deutsch, Noah and Goel, Vik and Ward, Jonathan and Konstantinidis, Aris and Zaremba, Wojciech and Ouyang, Long and Bogdonoff, Leonard and Gross, Joshua and Medina, David and Yoo, Sarah and Lee, Teddy and Lowe, Ryan and Mossing, Dan and Huizinga, Joost and Jiang, Roger and Wainwright, Carroll and Almeida, Diogo and Lin, Steph and Zhang, Marvin and Xiao, Kai and Slama, Katarina and Bills, Steven and Gray, Alex and Leike, Jan and Pachocki, Jakub and Tillet, Phil and Jain, Shantanu and Brockman, Greg and Ryder, Nick and Paino, Alex and Yuan, Qiming and Winter, Clemens and Wang, Ben and Bavarian, Mo and Babuschkin, Igor and Sidor, Szymon and Kanitscheider, Ingmar and Pavlov, Mikhail and Plappert, Matthias and Tezak, Nik and Jun, Heewoo and Zhuk, William and Pong, Vitchyr and Kaiser, Lukasz and Tworek, Jerry and Carr, Andrew and Weng, Lilian and Agarwal, Sandhini and Cobbe, Karl and Kosaraju, Vineet and Power, Alethea and Polu, Stanislas and Han, Jesse and Puri, Raul and Jain, Shawn and Chess, Benjamin and Gibson, Christian and Boiko, Oleg and Parparita, Emy and Tootoonchian, Amin and Kosic, Kyle and Hesse, Christopher}
}

@inproceedings{Cheema2020,
    title = {{Check square at CheckThat! 2020: Claim Detection in Social Media via Fusion of Transformer and Syntactic Features}},
    year = {2020},
    booktitle = {CLEF},
    author = {{Cheema} and {Hakinow} and {Ewerth}},
    pages = {22--25},
    arxivId = {arXiv:2007.10534v2},
    keywords = {19, bert, check-worthiness, covid-, fact-checking, retrieval, social media, svm, text classification, twitter}
}

@article{Orgad2022a,
    title = {{Choose Your Lenses: Flaws in Gender Bias Evaluation}},
    year = {2022},
    journal = {GeBNLP 2022 - 4th Workshop on Gender Bias in Natural Language Processing, Proceedings of the Workshop},
    author = {Orgad, Hadas and Belinkov, Yonatan},
    pages = {151--167},
    isbn = {9781955917681},
    doi = {10.18653/v1/2022.gebnlp-1.17},
    arxivId = {2210.11471}
}

@article{Vedantam2015,
    title = {{CIDEr: Consensus-based image description evaluation}},
    year = {2015},
    journal = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
    author = {Vedantam, Ramakrishna and Zitnick, C. Lawrence and Parikh, Devi},
    pages = {4566--4575},
    volume = {07-12-June},
    isbn = {9781467369640},
    doi = {10.1109/CVPR.2015.7299087},
    issn = {10636919},
    arxivId = {1411.5726}
}

@article{Chan2023,
    title = {{CLAIR: Evaluating Image Captions with Large Language Models}},
    year = {2023},
    author = {Chan, David and Petryk, Suzanne and Gonzalez, Joseph E. and Darrell, Trevor and Canny, John},
    url = {http://arxiv.org/abs/2310.12971},
    arxivId = {2310.12971}
}

@article{Reimers2020b,
    title = {{Classification and clustering of arguments with contextualized word embeddings}},
    year = {2020},
    journal = {ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Reimers, Nils and Schiller, Benjamin and Beck, Tilman and Daxenberger, Johannes and Stab, Christian and Gurevych, Iryna},
    pages = {567--578},
    isbn = {9781950737482},
    doi = {10.18653/v1/p19-1054},
    arxivId = {1906.09821}
}

@article{breiman1984classification,
    title = {{Classification and Regression Trees}},
    year = {1984},
    author = {Breiman, L and Friedman, J H and Olshen, R and Stone, C J},
    publisher = {Wadsworth}
}

@inproceedings{Barriere2018b,
    title = {{Classification d’attitude dans des paires adjacentes {\`{a}} l’aide de champs al{\'{e}}atoires conditionnels cach{\'{e}}s}},
    year = {2018},
    booktitle = {WACAI},
    author = {Barriere, Valentin and Clavel, Chloé and Essid, Slim},
    keywords = {attitude detection, guistic patterns, hidden conditional random field, lin-, opinion mining}
}

@article{Ho2022,
    title = {{Classifier-Free Diffusion Guidance}},
    year = {2022},
    author = {Ho, Jonathan and Salimans, Tim},
    url = {http://arxiv.org/abs/2207.12598},
    arxivId = {2207.12598}
}

@article{Kolhatkar2020,
    title = {{Classifying Constructive Comments}},
    year = {2020},
    author = {Kolhatkar, Varada and Thain, Nithum and Sorensen, Jeffrey and Dixon, Lucas and Taboada, Maite},
    pages = {1--24},
    url = {http://arxiv.org/abs/2004.05476},
    arxivId = {2004.05476},
    keywords = {1, annotation, challenges facing online communities, constructiveness, content moderation, content moderation and constructiveness, creation, data, deep learning, from social networks to, introduction, machine learning, one of the key, online comments, the comment, toxicity}
}

@article{Jia2019,
    title = {{Classifying heterogeneous sequential data by cyclic domain adaptation: An application in land cover detection}},
    year = {2019},
    journal = {SIAM International Conference on Data Mining, SDM 2019},
    author = {Jia, Xiaowei and Nayak, Guruprasad and Khandelwal, Ankush and Karpatne, Anuj and Kumar, Vipin},
    pages = {540--548},
    isbn = {9781611975673},
    doi = {10.1137/1.9781611975673.61}
}

@article{Curry2024,
    title = {{Classist Tools: Social Class Correlates with Performance in NLP}},
    year = {2024},
    author = {Curry, Amanda Cercas and Attanasio, Giuseppe and Talat, Zeerak and Zayed, Mohamed Bin and Hovy, Dirk},
    number = {1964},
    url = {https://arxiv.org/abs/2403.04445v1},
    arxivId = {2403.04445}
}

@article{Hessel2021,
    title = {{CLIPScore: A Reference-free Evaluation Metric for Image Captioning}},
    year = {2021},
    journal = {EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings},
    author = {Hessel, Jack and Holtzman, Ari and Forbes, Maxwell and Le Bras, Ronan and Choi, Yejin},
    number = {2014},
    pages = {7514--7528},
    isbn = {9781955917094},
    doi = {10.18653/v1/2021.emnlp-main.595},
    arxivId = {2104.08718}
}

@book{Liu2021,
    title = {{CMA-CLIP: Cross-Modality Attention CLIP for Image-Text Classification}},
    year = {2021},
    booktitle = {Proceedings of ACM Conference (Conference'17)},
    author = {Liu, Huidong and Xu, Shaoyuan and Fu, Jinmiao and Liu, Yang and Xie, Ning and Wang, Chien-Chih and Wang, Bryan and Sun, Yi},
    number = {1},
    volume = {1},
    publisher = {Association for Computing Machinery},
    url = {http://arxiv.org/abs/2112.03562},
    arxivId = {2112.03562}
}

@inproceedings{Zadeh2020,
    title = {{CMU-MOSEAS : A Multimodal Language Dataset for Spanish , Portuguese , German and French}},
    year = {2020},
    booktitle = {EMNLP},
    author = {Zadeh, Amir and Cao, Yan Sheng and Hessner, Simon and Liang, Paul Pu and Poria, Soujanya and Morency, Louis-philippe},
    number = {1},
    pages = {1801--1812},
    volume = {1}
}

@article{Yu2022a,
    title = {{CoCa: Contrastive Captioners are Image-Text Foundation Models}},
    year = {2022},
    author = {Yu, Jiahui and Wang, Zirui and Vasudevan, Vijay and Yeung, Legg and Seyedhosseini, Mojtaba and Wu, Yonghui},
    number = {1},
    pages = {1--19},
    url = {http://arxiv.org/abs/2205.01917},
    arxivId = {2205.01917}
}

@article{Jourdan2023,
    title = {{COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks}},
    year = {2023},
    author = {Jourdan, Fanny and Picard, Agustin and Fel, Thomas and Risser, Laurent and Loubes, Jean Michel and Asher, Nicholas},
    url = {http://arxiv.org/abs/2305.06754},
    arxivId = {2305.06754}
}

@article{Barriere2022,
    title = {{CoFE : A New Dataset of Intra-Multilingual Multi-target Stance Classification from an Online European Participatory Democracy Platform}},
    year = {2022},
    journal = {AACL-IJCNLP},
    author = {Barriere, Valentin and Jacquet, Guillaume}
}

@article{Pro,
    title = {{Colaboratory Questions fr{\'{e}}quentes}},
    author = {Pro, Colab and Source, Open},
    pages = {1--7}
}

@article{Tellamekala2022,
    title = {{COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition}},
    year = {2022},
    author = {Tellamekala, Mani Kumar and Amiriparian, Shahin and Schuller, Björn W. and Andr{\'{e}}, Elisabeth and Giesbrecht, Timo and Valstar, Michel},
    pages = {1--16},
    url = {http://arxiv.org/abs/2206.05833},
    arxivId = {2206.05833}
}

@article{Yu2022,
    title = {{Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach}},
    year = {2022},
    author = {Yu, Yue and Zhang, Rongzhi and Xu, Ran and Zhang, Jieyu and Shen, Jiaming and Zhang, Chao},
    url = {http://arxiv.org/abs/2209.06995},
    arxivId = {2209.06995}
}

@inproceedings{Smith2018,
    title = {{Communication behavior in Embodied virtual reality}},
    year = {2018},
    booktitle = {Conference on Human Factors in Computing Systems - Proceedings},
    author = {Smith, Harrison Jesse and Neff, Michael},
    pages = {1--12},
    volume = {2018-April},
    isbn = {9781450356206},
    doi = {10.1145/3173574.3173863},
    keywords = {Computer-mediated communication, Embodiment, Social presence, Virtual reality}
}

@article{Mahabadi2021c,
    title = {{COMPACTER: Efficient Low-Rank Hypercomplex Adapter Layers}},
    year = {2021},
    journal = {Advances in Neural Information Processing Systems},
    author = {Mahabadi, Rabeeh Karimi and Henderson, James and Ruder, Sebastian},
    number = {NeurIPS},
    pages = {1022--1035},
    volume = {2},
    isbn = {9781713845393},
    issn = {10495258},
    arxivId = {2106.04647}
}

@unpublished{Priban2017ComparativeMedia,
    title = {{Comparative Analyses of Multilingual Sentiment Analysis Systems for News and Social Media}},
    year = {2017},
    author = {Priban, Pavel and Balahur, Alexandra}
}

@article{Balahur2014a,
    title = {{Comparative experiments using supervised learning and machine translation for multilingual sentiment analysis}},
    year = {2013},
    journal = {Computer Speech and Language},
    author = {Balahur, Alexandra and Turchi, Marco},
    number = {1},
    pages = {56--75},
    volume = {28},
    publisher = {Elsevier Ltd},
    url = {http://dx.doi.org/10.1016/j.csl.2013.03.004},
    doi = {10.1016/j.csl.2013.03.004},
    issn = {08852308},
    keywords = {Machine translation, Multilingual sentiment analysis, Opinion mining, Supervised learning}
}

@article{Levy2023,
    title = {{Comparing Biases and the Impact of Multilingual Training across Multiple Languages}},
    year = {2023},
    author = {Levy, Sharon and John, Neha Anna and Liu, Ling and Vyas, Yogarshi and Ma, Jie and Fujinuma, Yoshinari and Ballesteros, Miguel and Castelli, Vittorio and Roth, Dan},
    url = {http://arxiv.org/abs/2305.11242},
    arxivId = {2305.11242}
}

@article{Vitiugin2019,
    title = {{Comparison of social media in English and Russian during emergencies and mass convergence events}},
    year = {2019},
    journal = {Proceedings of the International ISCRAM Conference},
    author = {Vitiugin, Fedor and Castillo, Carlos},
    number = {May},
    pages = {857--866},
    volume = {2019-May},
    isbn = {9788409104987},
    issn = {24113387},
    keywords = {Crisis Informatics, Information Extraction, Social Media, Twitter}
}

@article{Min2020,
    title = {{Compositional questions do not necessitate multi-hop reasoning}},
    year = {2020},
    journal = {ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Min, Sewon and Wallace, Eric and Singh, Sameer and Gardner, Matt and Hajishirzi, Hannaneh and Zettlemoyer, Luke},
    pages = {4249--4257},
    isbn = {9781950737482},
    doi = {10.18653/v1/p19-1416},
    arxivId = {1906.02900}
}

@article{Rae2019,
    title = {{Compressive Transformers for Long-Range Sequence Modelling}},
    year = {2019},
    author = {Rae, Jack W. and Potapenko, Anna and Jayakumar, Siddhant M. and Lillicrap, Timothy P.},
    pages = {1--19},
    url = {http://arxiv.org/abs/1911.05507},
    arxivId = {1911.05507}
}

@article{Park2014,
    title = {{Computational Analysis of Persuasiveness in Social Multimedia: A Novel Dataset and Multimodal Prediction Approach}},
    year = {2014},
    journal = {Proceedings of the 16th International Conference on Multimodal Interaction - ICMI '14},
    author = {Park, Sunghyun and Shim, Han Suk and Chatterjee, Moitreya and Sagae, Kenji and Morency, Louis-Philippe},
    pages = {50--57},
    url = {http://dl.acm.org/citation.cfm?id=2663204.2663260},
    isbn = {9781450328852},
    doi = {10.1145/2663204.2663260},
    keywords = {multimodal, persuasion, persuasive opinion multimedia corpus, persuasiveness, pom corpus, prediction, social multimedia}
}

@article{RuizDolz2023,
    title = {{Computational Argumentation for the Automatic Analysis of Argumentative Discourse and Human Persuasion}},
    year = {2023},
    author = {Ruiz Dolz, Ramon},
    number = {April},
    url = {https://riunet.upv.es/handle/10251/194806},
    keywords = {Aprendizaje profundo, Argumentaci{\'{o}}n, Argumentation, Artificial Intelligence, Computer Interaction, Deep Learning, Human, Inteligencia artificial, Interacci{\'{o}}n persona, LENGUAJES Y SISTEMAS INFORMATICOS, Natural Language Processing, Persuasion, Persuasi{\'{o}}n, Procesamiento del lenguaje natural, ordenador}
}

@article{Castagna2024,
    title = {{Computational Argumentation-based Chatbots: a Survey}},
    year = {2024},
    author = {Castagna, Federico and Kokciyan, Nadin and Sassoon, Isabel and Parsons, Simon and Sklar, Elizabeth},
    pages = {1--38},
    url = {http://arxiv.org/abs/2401.03454},
    arxivId = {2401.03454}
}

@article{Zhao2021,
    title = {{Computational Emotion Analysis From Images: Recent Advances and Future Directions}},
    year = {2021},
    author = {Zhao, Sicheng and Huang, Quanwei and Tang, Youbao and Yao, Xingxu and Yang, Jufeng and Ding, Guiguang and Schuller, Björn W.},
    url = {http://arxiv.org/abs/2103.10798},
    arxivId = {2103.10798}
}

@article{Priya2024b,
    title = {{Computational Politeness in Natural Language Processing: A Survey}},
    year = {2024},
    journal = {ACM Computing Surveys},
    author = {Priya, Priyanshu and Firdaus, Mauajama and Ekbal, Asif},
    number = {9},
    volume = {56},
    doi = {10.1145/3654660},
    issn = {15577341},
    keywords = {(im)politeness, Politeness, computational politeness, linguistic variations, politeness analysis}
}

@inproceedings{Curry2023,
    title = {{Computer says “No”: The Case Against Empathetic Conversational AI}},
    year = {2023},
    booktitle = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Curry, Alba and Curry, Amanda Cercas},
    pages = {8123--8130},
    isbn = {9781959429623},
    doi = {10.18653/v1/2023.findings-acl.515},
    issn = {0736587X},
    arxivId = {2212.10983}
}

@article{Toulouse2017,
    title = {{Computer vision for wildfire research: An evolving image dataset for processing and analysis}},
    year = {2017},
    journal = {Fire Safety Journal},
    author = {Toulouse, Tom and Rossi, Lucile and Campana, Antoine and Celik, Turgay and Akhloufi, Moulay A.},
    pages = {188--194},
    volume = {92},
    doi = {10.1016/j.firesaf.2017.06.012},
    issn = {03797112},
    keywords = {Database, Image, Pixel detection, Wildfire}
}

@article{Hallgren2012,
    title = {{Computing Inter-Rater Reliability for Observational Data: An Overview and Tutorial}},
    year = {2012},
    journal = {Tutorials in Quantitative Methods for Psychology},
    author = {Hallgren, Kevin A.},
    number = {1},
    pages = {23--34},
    volume = {8},
    url = {http://www.tqmp.org/RegularArticles/vol08-1/p023},
    isbn = {1913-4126 (Print){\textbackslash}n1913-4126 (Linking)},
    doi = {10.20982/tqmp.08.1.p023},
    issn = {1913-4126},
    pmid = {22833776},
    arxivId = {NIHMS150003}
}

@article{Krippendorff2011,
    title = {{Computing Krippendorff ' s Alpha-Reliability}},
    year = {2011},
    author = {Krippendorff, Klaus},
    url = {http://repository.upenn.edu/asc_papershttp://repository.upenn.edu/asc_papers/43}
}

@article{Wu2021,
    title = {{Conditional Adversarial Networks for Multi-Domain Text Classification}},
    year = {2021},
    author = {Wu, Yuan and Inkpen, Diana and El-Roby, Ahmed},
    url = {http://arxiv.org/abs/2102.10176},
    arxivId = {2102.10176}
}

@article{Denk2019,
    title = {{Conditioning the Language Model Using a Global State}},
    year = {2019},
    author = {Denk, Timo I and Ramallo, Ana Peleteiro},
    arxivId = {arXiv:2010.15778v1}
}

@article{Zhou2020a,
    title = {{Condolence and Empathy in Online Communities}},
    year = {2020},
    author = {Zhou, Naitian and Jurgens, David},
    pages = {609--626}
}

@article{Casola2023,
    title = {{Confidence-based Ensembling of Perspective-aware Models}},
    year = {2023},
    journal = {EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings},
    author = {Casola, Silvia and Lo, Soda Marem and Basile, Valerio and Frenda, Simona and Cignarella, Alessandra Teresa and Patti, Viviana and Bosco, Cristina},
    pages = {3496--3507},
    isbn = {9798891760608},
    doi = {10.18653/v1/2023.emnlp-main.212}
}

@article{Northcutt2021,
    title = {{Confident learning: Estimating uncertainty in dataset labels}},
    year = {2021},
    journal = {Journal of Artificial Intelligence Research},
    author = {Northcutt, Curtis G. and Jiang, Lu and Chuang, Isaac L.},
    pages = {1373--1411},
    volume = {70},
    doi = {10.1613/JAIR.1.12125},
    issn = {10769757},
    arxivId = {1911.00068}
}

@article{Zheng2021a,
    title = {{Consistency regularization for cross-lingual fine-tuning}},
    year = {2021},
    journal = {ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference},
    author = {Zheng, Bo and Dong, Li and Huang, Shaohan and Wang, Wenhui and Chi, Zewen and Singhal, Saksham and Che, Wanxiang and Liu, Ting and Song, Xia and Wei, Furu},
    pages = {3403--3417},
    isbn = {9781954085527},
    doi = {10.18653/v1/2021.acl-long.264},
    arxivId = {2106.08226}
}

@article{Bai2022,
    title = {{Constitutional AI: Harmlessness from AI Feedback}},
    year = {2022},
    author = {Bai, Yuntao and Kadavath, Saurav and Kundu, Sandipan and Askell, Amanda and Kernion, Jackson and Jones, Andy and Chen, Anna and Goldie, Anna and Mirhoseini, Azalia and McKinnon, Cameron and Chen, Carol and Olsson, Catherine and Olah, Christopher and Hernandez, Danny and Drain, Dawn and Ganguli, Deep and Li, Dustin and Tran-Johnson, Eli and Perez, Ethan and Kerr, Jamie and Mueller, Jared and Ladish, Jeffrey and Landau, Joshua and Ndousse, Kamal and Lukosuite, Kamile and Lovitt, Liane and Sellitto, Michael and Elhage, Nelson and Schiefer, Nicholas and Mercado, Noemi and DasSarma, Nova and Lasenby, Robert and Larson, Robin and Ringer, Sam and Johnston, Scott and Kravec, Shauna and Showk, Sheer El and Fort, Stanislav and Lanham, Tamera and Telleen-Lawton, Timothy and Conerly, Tom and Henighan, Tom and Hume, Tristan and Bowman, Samuel R. and Hatfield-Dodds, Zac and Mann, Ben and Amodei, Dario and Joseph, Nicholas and McCandlish, Sam and Brown, Tom and Kaplan, Jared},
    url = {http://arxiv.org/abs/2212.08073},
    arxivId = {2212.08073}
}

@article{Nanfack2022,
    title = {{Constraint Enforcement on Decision Trees: A Survey}},
    year = {2022},
    journal = {ACM Computing Surveys},
    author = {Nanfack, Géraldin and Temple, Paul and Fr{\'{e}}nay, Benoît},
    number = {10},
    volume = {54},
    doi = {10.1145/3506734},
    issn = {15577341},
    keywords = {Decision trees, constraints, domain knowledge, explainability, fairness, interpretability, privacy}
}

@misc{Lombard2002,
    title = {{Content Analysis in Mass Communication: Assessment and Reporting of Intercoder Reliability}},
    year = {2002},
    booktitle = {Human Communication Research},
    author = {Lombard, Matthew and Snyder-Duch, Jennifer and Bracken, Cheryl Campanella},
    isbn = {1468-2958},
    doi = {10.1093/hcr/28.4.587},
    issn = {03603989},
    pmid = {8499424}
}

@incollection{Krippendorff2013,
    title = {{Content Analysis: An Introduction to Its Methodology}},
    year = {2013},
    booktitle = {Content Analysis: An Introduction to Its Methodology},
    author = {Krippendorff, Klaus},
    isbn = {9781412983150},
    doi = {10.1007/s13398-014-0173-7.2},
    issn = {0717-6163},
    pmid = {15003161},
    arxivId = {arXiv:1011.1669v3}
}

@book{Krippendorff2004,
    title = {{Content Analysis: An Introduction to Its Methodology}},
    year = {2004},
    booktitle = {Education},
    author = {Krippendorff, Klaus},
    isbn = {0761915451},
    doi = {10.2307/2288384},
    issn = {01621459},
    pmid = {370546962},
    arxivId = {arXiv:1011.1669v3},
    keywords = {9780761915447{\textbackslash}r{\textbackslash}n9780761915454{\textbackslash}r{\textbackslash}n0761915443{\textbackslash}r{\textbackslash}n07}
}

@article{Cahill2020a,
    title = {{Context-based automated scoring of complex mathematical responses}},
    year = {2020},
    journal = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Cahill, Aoife and Fife, James H. and Riordan, Brian and Vajpayee, Avijit and Galochkin, Dmytro},
    pages = {186--192},
    isbn = {9781952148187},
    doi = {10.18653/v1/2020.bea-1.19},
    issn = {0736587X}
}

@article{aben2019context,
    title = {{Context-dependent modulation of cognitive control involves different temporal profiles of fronto-parietal activity}},
    year = {2019},
    journal = {NeuroImage},
    author = {Aben, Bart and Calderon, Cristian Buc and der Cruyssen, Laurens and Picksak, Doerte and den Bussche, Eva and Verguts, Tom},
    pages = {755--762},
    volume = {189},
    publisher = {Elsevier}
}

@article{Kobayashi2018,
    title = {{Contextual Augmentation : Data Augmentation by Words with Paradigmatic Relations}},
    year = {2018},
    author = {Kobayashi, Sosuke},
    pages = {452--457}
}

@inproceedings{Kim2020,
    title = {{Contextual Augmentation of Pretrained Language Models for Emotion Recognition in Conversations}},
    year = {2020},
    booktitle = {Coling},
    author = {Kim, Jonggu and Ko, Hyeonmok and Song, Seoha and Jang, Saebom and Hong, Jiyeon},
    pages = {64--73}
}

@inproceedings{Akbik2018,
    title = {{Contextual String Embeddings for Sequence Labeling}},
    year = {2018},
    booktitle = {Coling},
    author = {Akbik, Alan and Blythe, Duncan and Vollgraf, Roland}
}

@article{Aljanaideh2020a,
    title = {{Contextualized Embeddings for Enriching Linguistic Analyses on Politeness}},
    year = {2020},
    journal = {COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference},
    author = {Aljanaideh, Ahmad and Fosler-Lussier, Eric and de Marneffe, Marie Catherine},
    pages = {2181--2190},
    isbn = {9781952148279},
    doi = {10.18653/v1/2020.coling-main.198}
}

@article{Wang2020b,
    title = {{Contextualized Emotion Recognition in Conversation as Sequence Tagging}},
    year = {2020},
    journal = {Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue},
    author = {Wang, Yan and Zhang, Jiayu and Ma, Jun and Wang, Shaojun and Xiao, Jing},
    number = {July},
    pages = {186--195},
    url = {https://www.aclweb.org/anthology/2020.sigdial-1.23}
}

@inproceedings{Li2021d,
    title = {{Continuing Pre-trained Model with Multiple Training Strategies for Emotional Classification}},
    year = {2022},
    booktitle = {WASSA},
    author = {Li, Bin and Weng, Yixuan and Song, Qiya and Sun, Bin and Li, Shutao}
}

@article{Lao2020,
    title = {{Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay}},
    year = {2020},
    author = {Lao, Qicheng and Jiang, Xiang and Havaei, Mohammad and Bengio, Yoshua},
    url = {http://arxiv.org/abs/2003.04382},
    arxivId = {2003.04382}
}

@article{buc2017continuous,
    title = {{Continuous track paths reveal additive evidence integration in multistep decision making}},
    year = {2017},
    journal = {Proceedings of the National Academy of Sciences},
    author = {Buc Calderon, Cristian and Dewulf, Myrtille and Gevers, Wim and Verguts, Tom},
    number = {40},
    pages = {10618--10623},
    volume = {114},
    publisher = {National Acad Sciences}
}

@inproceedings{Wang2021CIDA,
    title = {{Continuously Indexed Domain Adaptation}},
    year = {2021},
    booktitle = {37th International Conference on Machine Learning ICML},
    author = {Wang, Hao and He, Hao and Katabi, Dina},
    doi = {10.5558/tfc47017-1},
    issn = {0015-7546}
}

@article{AsivaNoorRachmayani2015,
    title = {{CONTRASTING ASIAN POLITENESS STRATEGIES IN BUSINESS EMAIL COMMUNICATIONS: CHINA, HONGKONG AND THE PHILIPPINES}},
    year = {2015},
    author = {{Asiva Noor Rachmayani}},
    pages = {6},
    keywords = {business communications, china, hong kong, politeness, the}
}

@article{OBrien2023,
    title = {{Contrastive Decoding Improves Reasoning in Large Language Models}},
    year = {2023},
    author = {O'Brien, Sean and Lewis, Mike},
    pages = {1--17},
    url = {http://arxiv.org/abs/2309.09117},
    arxivId = {2309.09117}
}

@article{Sharmanska2020,
    title = {{Contrastive Examples for Addressing the Tyranny of the Majority}},
    year = {2020},
    author = {Sharmanska, Viktoriia and Hendricks, Lisa Anne and Darrell, Trevor and Quadrianto, Novi},
    number = {2200},
    pages = {1--16},
    url = {http://arxiv.org/abs/2004.06524},
    arxivId = {2004.06524}
}

@article{Jounin2015,
    title = {{Control features: Identity checks, appearance and ways of life of students in the {\^{I}}le-de-France}},
    year = {2015},
    journal = {Deviance et Societe},
    author = {Jounin, Nicolas and Ahmadouchi, Fatine and Bachiri, Aurélie and Bakhayokho, Boubou and Bihet, Julien and Bouali, Requia and Cognasse, Nedjma and El Mellah, Sarah and Gicquel, Camille and Josse, Marie and Kettal, Yasmina and Krumnow, Nina and Mimoun, Alice and Mokrani, Laëtitia and Mongongnon, Jordan and Orsini, Pierre and Otto, Camilla and Rondou, Lucie and Tamega, Awa and Tilbourg, Loïse and Tour{\'{e}}, El Hadj and Tubeuf, Ulysse},
    number = {1},
    pages = {3--29},
    volume = {39},
    doi = {10.3917/ds.391.0003},
    issn = {03787931}
}

@article{Sennrich2016a,
    title = {{Controlling politeness in neural machine translation via side constraints}},
    year = {2016},
    journal = {2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - Proceedings of the Conference},
    author = {Sennrich, Rico and Haddow, Barry and Birch, Alexandra},
    pages = {35--40},
    isbn = {9781941643914},
    doi = {10.18653/v1/n16-1005}
}

@article{Zaib2022,
    title = {{Conversational question answering: a survey}},
    year = {2022},
    journal = {Knowledge and Information Systems},
    author = {Zaib, Munazza and Zhang, Wei Emma and Sheng, Quan Z. and Mahmood, Adnan and Zhang, Yang},
    number = {12},
    pages = {3151--3195},
    volume = {64},
    doi = {10.1007/s10115-022-01744-y},
    issn = {02193116},
    arxivId = {2106.00874},
    keywords = {Conversational AI, Conversational agents, Conversational machine reading comprehension, Knowledge base, Question answering}
}

@article{Chang2020,
    title = {{ConvoKit: A toolkit for the analysis of conversations}},
    year = {2020},
    journal = {SIGDIAL 2020 - 21st Annual Meeting of the Special Interest Group on Discourse and Dialogue, Proceedings of the Conference},
    author = {Chang, Jonathan P. and Chiam, Caleb and Fu, Liye and Wang, Andrew Z. and Zhang, Justine and Danescu-Niculescu-Mizil, Cristian},
    number = {July},
    pages = {57--60},
    isbn = {9781952148026},
    doi = {10.18653/v1/2020.sigdial-1.8},
    arxivId = {2005.04246}
}

@article{Kim2014a,
    title = {{Convolutional Neural Networks for Sentence Classification}},
    year = {2014},
    author = {Kim, Yoon},
    pages = {1746--1751},
    url = {http://arxiv.org/abs/1408.5882},
    isbn = {9781937284961},
    doi = {10.3115/v1/D14-1181},
    issn = {10709908},
    arxivId = {1408.5882}
}

@article{Reddy2019c,
    title = {{CoQA: A Conversational Question Answering Challenge}},
    year = {2019},
    journal = {Transactions of the Association for Computational Linguistics},
    author = {Reddy, Siva and Chen, Danqi and Manning, Christopher D.},
    pages = {249--266},
    volume = {7},
    doi = {10.1162/tacl{\_}a{\_}00266},
    issn = {2307387X},
    arxivId = {1808.07042}
}

@article{Wang2020,
    title = {{CORD-19: The Covid-19 Open Research Dataset}},
    year = {2020},
    author = {Wang, Lucy Lu and Lo, Kyle and Chandrasekhar, Yoganand and Reas, Russell and Yang, Jiangjiang and Eide, Darrin and Funk, Kathryn and Kinney, Rodney and Liu, Ziyang and Merrill, William and Mooney, Paul and Murdick, Dewey and Rishi, Devvret and Sheehan, Jerry and Shen, Zhihong and Stilson, Brandon and Wade, Alex D. and Wang, Kuansan and Wilhelm, Chris and Xie, Boya and Raymond, Douglas and Weld, Daniel S. and Etzioni, Oren and Kohlmeier, Sebastian},
    url = {http://arxiv.org/abs/2004.10706},
    arxivId = {2004.10706}
}

@article{Wu2020b,
    title = {{Coreference Reasoning in Machine Reading Comprehension}},
    year = {2020},
    author = {Wu, Mingzhu and Moosavi, Nafise Sadat and Roth, Dan and Gurevych, Iryna},
    url = {http://arxiv.org/abs/2012.15573},
    arxivId = {2012.15573}
}

@article{Kirstain2021,
    title = {{Coreference Resolution without Span Representations}},
    year = {2021},
    author = {Kirstain, Yuval and Ram, Ori and Levy, Omer},
    pages = {1--5},
    url = {http://arxiv.org/abs/2101.00434},
    arxivId = {2101.00434}
}

@article{Wang2024a,
    title = {{COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training}},
    year = {2024},
    author = {Wang, Alex Jinpeng and Li, Linjie and Lin, Kevin Qinghong and Wang, Jianfeng and Lin, Kevin and Yang, Zhengyuan and Wang, Lijuan and Shou, Mike Zheng},
    url = {http://arxiv.org/abs/2401.00849},
    arxivId = {2401.00849}
}

@article{Dai2020,
    title = {{Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media}},
    year = {2020},
    author = {Dai, Xiang and Karimi, Sarvnaz and Hachey, Ben and Paris, Cecile},
    number = {1},
    url = {http://arxiv.org/abs/2010.01150},
    arxivId = {2010.01150}
}

@inproceedings{Yu2020a,
    title = {{Coupled Hierarchical Transformer for Stance-Aware Rumor Verification in Social Media Conversations}},
    year = {2020},
    booktitle = {EMNLP},
    author = {Yu, Jianfei and Jiang, Jing and Khoo, Ling Min Serena and Chieu, Hai Leong and Xia, Rui},
    pages = {1392--1401},
    doi = {10.18653/v1/2020.emnlp-main.108}
}

@techreport{KnowyourMeme2020,
    title = {{COVID-19 MEME INSIGHTS}},
    year = {2020},
    author = {{Know your Meme}},
    number = {May}
}

@inproceedings{Fel2022,
    title = {{CRAFT: Concept Recursive Activation FacTorization for Explainability}},
    year = {2023},
    booktitle = {CVPR},
    author = {Fel, Thomas and Picard, Agustin and Bethune, Louis and Boissin, Thibaut and Vigouroux, David and Colin, Julien and Cad{\`{e}}ne, Rémi and Serre, Thomas},
    url = {http://arxiv.org/abs/2211.10154},
    arxivId = {2211.10154}
}

@article{Benara2024,
    title = {{Crafting Interpretable Embeddings by Asking LLMs Questions}},
    year = {2024},
    author = {Benara, Vinamra and Singh, Chandan and Morris, John X. and Antonello, Richard and Stoica, Ion and Huth, Alexander G. and Gao, Jianfeng},
    pages = {1--19},
    url = {http://arxiv.org/abs/2405.16714},
    arxivId = {2405.16714}
}

@article{Gupta2019,
    title = {{Creating XBD: A dataset for assessing building damage from satellite imagery}},
    year = {2019},
    journal = {IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops},
    author = {Gupta, Ritwik and Goodman, Bryce and Patel, Nirav and Hosfelt, Richard and Sajeev, Sandra and Heim, Eric and Doshi, Jigar and Lucas, Keane and Choset, Howie and Gaston, Matthew},
    pages = {10--17},
    volume = {2019-June},
    isbn = {9781728125060},
    issn = {21607516}
}

@article{Mitra2015,
    title = {{CREDBANK: A large-scale social media corpus with associated credibility annotations}},
    year = {2015},
    journal = {Proceedings of the 9th International Conference on Web and Social Media, ICWSM 2015},
    author = {Mitra, Tanushree and Gilbert, Eric},
    pages = {258--267},
    isbn = {9781577357339},
    keywords = {Full Papers}
}

@inproceedings{Wei2021,
    title = {{CReST : A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning}},
    year = {2021},
    booktitle = {CVPR},
    author = {Wei, Chen and Sohn, Kihyuk and Mellina, Clayton and Yuille, Alan and Yang, Fan}
}

@article{Wang2022a,
    title = {{CRIS: CLIP-Driven Referring Image Segmentation}},
    year = {2022},
    author = {Wang, Zhaoqing and Lu, Yu and Li, Qiang and Tao, Xunqiang and Guo, Yandong and Gong, Mingming and Liu, Tongliang},
    pages = {11676--11685},
    isbn = {9781665469463},
    doi = {10.1109/cvpr52688.2022.01139},
    issn = {10636919},
    arxivId = {2111.15174}
}

@inproceedings{Alam2021benchmark,
    title = {{CrisisBench: Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing}},
    year = {2021},
    booktitle = {AAAI},
    author = {Alam, Firoj and Sajjad, Hassan and Imran, Muhammad and Ofli, Ferda},
    issn = {23318422},
    arxivId = {2004.06774}
}

@article{Liu2020,
    title = {{CrisisBERT: a Robust Transformer for Crisis Classification and Contextual Crisis Embedding}},
    year = {2020},
    author = {Liu, Junhua and Singhal, Trisha and Blessing, Lucienne T. M. and Wood, Kristin L. and Lim, Kwan Hui},
    pages = {1--10},
    url = {http://arxiv.org/abs/2005.06627},
    arxivId = {2005.06627}
}

@article{Alam2019,
    title = {{CRISISDPs: Crisis data processing services}},
    year = {2019},
    journal = {Proceedings of the International ISCRAM Conference},
    author = {Alam, Firoj and Imran, Muhammad and Ofli, Ferda},
    number = {May},
    pages = {719--733},
    volume = {2019-May},
    isbn = {9788409104987},
    issn = {24113387},
    keywords = {Application programming interfaces, Data processing services, Humanitarian data processing, Social media, Text classification}
}

@article{Olteanu2014,
    title = {{CrisisLex: A lexicon for collecting and filtering Microblogged communications in crises}},
    year = {2014},
    journal = {Proceedings of the 8th International Conference on Weblogs and Social Media, ICWSM 2014},
    author = {Olteanu, Alexandra and Castillo, Carlos and Diaz, Fernando and Vieweg, Sarah},
    pages = {376--385},
    isbn = {9781577356578}
}

@article{Alam2018,
    title = {{CrisisMMD: Multimodal twitter datasets from natural disasters}},
    year = {2018},
    journal = {12th International AAAI Conference on Web and Social Media, ICWSM 2018},
    author = {Alam, Firoj and Ofli, Ferda and Imran, Muhammad},
    pages = {465--473},
    isbn = {9781577357988},
    arxivId = {1805.00713}
}

@article{Turkoglu2021a,
    title = {{Crop mapping from image time series: Deep learning with multi-scale label hierarchies}},
    year = {2021},
    journal = {Remote Sensing of Environment},
    author = {Turkoglu, Mehmet Ozgur and D'Aronco, Stefano and Perich, Gregor and Liebisch, Frank and Streit, Constantin and Schindler, Konrad and Wegner, Jan Dirk},
    pages = {1--37},
    volume = {264},
    doi = {10.1016/j.rse.2021.112603},
    issn = {00344257},
    arxivId = {2102.08820},
    keywords = {Convolutional RNN, Crop classification, Deep learning, Hierarchical classification, Multi-stage, Multi-temporal, Recurrent neural network (RNN), Time series}
}

@article{Quinton2021,
    title = {{Crop rotation modeling for deep learning-based parcel classification from satellite time series}},
    year = {2021},
    journal = {Remote Sensing},
    author = {Quinton, Félix and Landrieu, Loic},
    number = {22},
    volume = {13},
    doi = {10.3390/rs13224599},
    issn = {20724292},
    arxivId = {2110.08187},
    keywords = {Crop mapping, Crop rotation, Sentinel-2}
}

@article{farmonov2023crop,
    title = {{Crop type classification by DESIS hyperspectral imagery and machine learning algorithms}},
    year = {2023},
    journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
    author = {Farmonov, Nizom and Amankulova, Khilola and Szatm{\'{a}}ri, József and Sharifi, Alireza and Abbasi-Moghadam, Dariush and Nejad, Seyed Mahdi Mirhoseini and Mucsi, László},
    pages = {1576--1588},
    volume = {16},
    publisher = {IEEE}
}

@article{Orynbaikyzy2019,
    title = {{Crop type classification using a combination of optical and radar remote sensing data: a review}},
    year = {2019},
    journal = {International Journal of Remote Sensing},
    author = {Orynbaikyzy, Aiym and Gessner, Ursula and Conrad, Christopher},
    number = {17},
    pages = {6553--6595},
    volume = {40},
    publisher = {Taylor {\&} Francis},
    url = {https://doi.org/10.1080/01431161.2019.1569791},
    doi = {10.1080/01431161.2019.1569791},
    issn = {13665901}
}

@article{orynbaikyzy2019crop,
    title = {{Crop type classification using a combination of optical and radar remote sensing data: A review}},
    year = {2019},
    journal = {international journal of remote sensing},
    author = {Orynbaikyzy, Aiym and Gessner, Ursula and Conrad, Christopher},
    number = {17},
    pages = {6553--6595},
    volume = {40},
    publisher = {Taylor {\&} Francis}
}

@article{feng2019crop,
    title = {{Crop type identification and mapping using machine learning algorithms and sentinel-2 time series data}},
    year = {2019},
    journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
    author = {Feng, Siwen and Zhao, Jianjun and Liu, Tingting and Zhang, Hongyan and Zhang, Zhengxiang and Guo, Xiaoyi},
    number = {9},
    pages = {3295--3306},
    volume = {12},
    publisher = {IEEE}
}

@article{Wang2019g,
    title = {{Crop type mapping without field-level labels : Random forest transfer and unsupervised clustering techniques}},
    year = {2019},
    journal = {Remote Sensing of Environment},
    author = {Wang, Sherrie and Azzari, George and Lobell, David B},
    keywords = {agriculture, big data, classification, google earth engine, land cover, landsat, machine learning, remote sensing, unsupervised learning}
}

@article{bhatnagar2020crop,
    title = {{Crop yield estimation using decision trees and random forest machine learning algorithms on data from terra (EOS AM-1) {\&} Aqua (EOS PM-1) satellite data}},
    year = {2020},
    journal = {Machine Learning and Data Mining in Aerospace Technology},
    author = {Bhatnagar, Roheet and Gohain, Ganesh Borpatra},
    pages = {107--124},
    publisher = {Springer}
}

@article{alibabaei2021crop,
    title = {{Crop yield estimation using deep learning based on climate big data and irrigation scheduling}},
    year = {2021},
    journal = {Energies},
    author = {Alibabaei, Khadijeh and Gaspar, Pedro D and Lima, Tânia M},
    number = {11},
    pages = {3004},
    volume = {14},
    publisher = {MDPI}
}

@article{VanKlompenburg2020,
    title = {{Crop yield prediction using machine learning: A systematic literature review}},
    year = {2020},
    journal = {Computers and Electronics in Agriculture},
    author = {van Klompenburg, Thomas and Kassahun, Ayalew and Catal, Cagatay},
    number = {January},
    pages = {105709},
    volume = {177},
    publisher = {Elsevier},
    url = {https://doi.org/10.1016/j.compag.2020.105709},
    doi = {10.1016/j.compag.2020.105709},
    issn = {01681699},
    keywords = {Crop yield prediction, Decision support system, Deep learning, Machine learning, Systematic literature review}
}

@article{van2020crop,
    title = {{Crop yield prediction using machine learning: A systematic literature review}},
    year = {2020},
    journal = {Computers and Electronics in Agriculture},
    author = {Van Klompenburg, Thomas and Kassahun, Ayalew and Catal, Cagatay},
    pages = {105709},
    volume = {177},
    publisher = {Elsevier}
}

@inproceedings{Bailly2018,
    title = {{Crop-rotation structured classification using multi-source Sentinel images and LPIS for crop type mapping}},
    year = {2018},
    booktitle = {International Geoscience and Remote Sensing Symposium (IGARSS)},
    author = {Bailly, S. and Giordano, S. and Landrieu, Loic and Chehata, N.},
    pages = {1950--1953},
    volume = {2018-July},
    isbn = {9781538671504},
    doi = {10.1109/IGARSS.2018.8518427},
    keywords = {Agriculture, Classification, Conditional random fields, Monitoring, Sentinel, Temporal regularization}
}

@inproceedings{Tseng2021,
    title = {{CropHarvest: a global satellite dataset for crop type classification}},
    year = {2021},
    booktitle = {Neurips},
    author = {Tseng, Gabriel and Zvonkov, Ivan and Nakalembe, Catherine and Kerner, Hannah},
    number = {NeurIPS},
    pages = {1--14},
    url = {https://github.com/nasaharvest/cropharvest}
}

@inproceedings{Hardalov2021a,
    title = {{Cross-Domain Label-Adaptive Stance Detection}},
    year = {2021},
    booktitle = {EMNLP},
    author = {Hardalov, Momchil and Arora, Arnav and Nakov, Preslav and Augenstein, Isabelle},
    volume = {19},
    url = {http://arxiv.org/abs/2104.07467},
    arxivId = {2104.07467}
}

@inproceedings{K2020,
    title = {{Cross-Lingual Ability of Multilingual BERT: An Empirical Study}},
    year = {2020},
    booktitle = {ICLR},
    author = {K, Karthikeyan and Wang, Zihan and Mayhew, Stephen and Roth, Dan}
}

@article{Wang2019d,
    title = {{Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework}},
    year = {2019},
    author = {Wang, Zirui and Xie, Jiateng and Xu, Ruochen and Yang, Yiming and Neubig, Graham and Carbonell, Jaime},
    pages = {1--15},
    url = {http://arxiv.org/abs/1910.04708},
    arxivId = {1910.04708}
}

@article{Sanchez2022,
    title = {{Cross-Lingual and Cross-Domain Crisis Classification for Low-Resource Scenarios}},
    year = {2023},
    journal = {ICWSM},
    author = {S{\`{a}}nchez, Cinthia and Sarmiento, Hernan and P{\'{e}}rez, Jorge and Abeliuk, Andres and Poblete, Barbara},
    arxivId = {arXiv:2209.02139v1}
}

@inproceedings{Bianchi2020,
    title = {{Cross-lingual contextualized topic models with zero-shot learning}},
    year = {2021},
    booktitle = {EACL},
    author = {Bianchi, Federico and Terragni, Silvia and Hovy, Dirk and Nozza, Debora and Fersini, Elisabetta},
    issn = {23318422},
    arxivId = {2004.07737}
}

@article{Lample2019,
    title = {{Cross-lingual Language Model Pretraining}},
    year = {2019},
    author = {Lample, Guillaume and Conneau, Alexis},
    url = {http://arxiv.org/abs/1901.07291},
    arxivId = {1901.07291}
}

@article{Cui2019a,
    title = {{Cross-Lingual machine reading comprehension}},
    year = {2019},
    journal = {arXiv},
    author = {Cui, Yiming and Che, Wanxiang and Liu, Ting and Qin, Bing and Wang, Shijin and Hu, Guoping},
    pages = {1586--1595}
}

@article{Pan2017,
    title = {{Cross-lingual name tagging and linking for 282 languages}},
    year = {2017},
    journal = {ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers)},
    author = {Pan, Xiaoman and Zhang, Boliang and May, Jonathan and Nothman, Joel and Knight, Kevin and Ji, Heng},
    pages = {1946--1958},
    volume = {1},
    isbn = {9781945626753},
    doi = {10.18653/v1/P17-1178}
}

@inproceedings{Fei2020,
    title = {{Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning}},
    year = {2020},
    booktitle = {ACL},
    author = {Fei, Hongliang and Li, Ping},
    number = {2019},
    pages = {5759--5771},
    doi = {10.18653/v1/2020.acl-main.510}
}

@article{Vadicamo2017,
    title = {{Cross-Media Learning for Image Sentiment Analysis in the Wild}},
    year = {2017},
    journal = {Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017},
    author = {Vadicamo, Lucia and Carrara, Fabio and Cimino, Andrea and Cresci, Stefano and Dell'Orletta, Felice and Falchi, Fabrizio and Tesconi, Maurizio},
    pages = {308--317},
    volume = {2018-Janua},
    isbn = {9781538610343},
    doi = {10.1109/ICCVW.2017.45}
}

@article{Pandey2022,
    title = {{Cross-modal Attention Congruence Regularization for Vision-Language Relation Alignment}},
    year = {2022},
    author = {Pandey, Rohan and Shao, Rulin and Liang, Paul Pu and Salakhutdinov, Ruslan and Morency, Louis-Philippe},
    url = {http://arxiv.org/abs/2212.10549},
    arxivId = {2212.10549}
}

@inproceedings{Liang2020a,
    title = {{Cross-Modal Generalization: Learning in Low Resource Modalities via Meta-Alignment}},
    year = {2021},
    booktitle = {MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia},
    author = {Liang, Paul Pu and Wu, Peter and Ziyin, Liu and Morency, Louis Philippe and Salakhutdinov, Ruslan},
    pages = {2680--2689},
    isbn = {9781450386517},
    doi = {10.1145/3474085.3475247},
    arxivId = {2012.02813},
    keywords = {cross-modal alignment, cross-modal retrieval, meta-learning, multimodal learning}
}

@article{Stab2020,
    title = {{Cross-topic argument mining from heterogeneous sources}},
    year = {2020},
    journal = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018},
    author = {Stab, Christian and Miller, Tristan and Schiller, Benjamin and Rai, Pranav and Gurevych, Iryna},
    number = {3},
    pages = {3664--3674},
    isbn = {9781948087841},
    doi = {10.18653/v1/d18-1402}
}

@article{Muennighoff2022a,
    title = {{Crosslingual Generalization through Multitask Finetuning}},
    year = {2022},
    author = {Muennighoff, Niklas and Wang, Thomas and Sutawika, Lintang and Roberts, Adam and Biderman, Stella and Scao, Teven Le and Bari, M Saiful and Shen, Sheng and Yong, Zheng-Xin and Schoelkopf, Hailey and Tang, Xiangru and Radev, Dragomir and Aji, Alham Fikri and Almubarak, Khalid and Albanie, Samuel and Alyafeai, Zaid and Webson, Albert and Raff, Edward and Raffel, Colin},
    volume = {5},
    url = {http://arxiv.org/abs/2211.01786},
    arxivId = {2211.01786}
}

@article{Muennighoff2022,
    title = {{Crosslingual Generalization through Multitask Finetuning}},
    year = {2022},
    author = {Muennighoff, Niklas and Wang, Thomas and Sutawika, Lintang and Roberts, Adam and Biderman, Stella and Scao, Teven Le and Bari, M Saiful and Shen, Sheng and Yong, Zheng-Xin and Schoelkopf, Hailey and Tang, Xiangru and Radev, Dragomir and Aji, Alham Fikri and Almubarak, Khalid and Albanie, Samuel and Alyafeai, Zaid and Webson, Albert and Raff, Edward and Raffel, Colin},
    volume = {5},
    url = {http://arxiv.org/abs/2211.01786},
    arxivId = {2211.01786}
}

@article{laso2020crowdsourcing,
    title = {{Crowdsourcing LUCAS: citizens generating reference land cover and land use data with a mobile app}},
    year = {2020},
    journal = {Land},
    author = {Laso Bayas, Juan Carlos and See, Linda and Bartl, Hedwig and Sturn, Tobias and Karner, Mathias and Fraisl, Dilek and Moorthy, Inian and Busch, Michaela and van der Velde, Marijn and Fritz, Steffen},
    number = {11},
    pages = {446},
    volume = {9},
    publisher = {MDPI}
}

@article{Zubiaga2015,
    title = {{Crowdsourcing the annotation of rumourous conversations in social media}},
    year = {2015},
    journal = {WWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web},
    author = {Zubiaga, Arkaitz and Liakata, Maria and Procter, Rob and Bontcheva, Kalina and Tolmie, Peter},
    pages = {347--353},
    isbn = {9781450334730},
    doi = {10.1145/2740908.2743052}
}

@article{Nangia2020a,
    title = {{CrowS-Pairs: A challenge dataset for measuring social biases in masked language models}},
    year = {2020},
    journal = {EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference},
    author = {Nangia, Nikita and Vania, Clara and Bhalerao, Rasika and Bowman, Samuel R.},
    pages = {1953--1967},
    isbn = {9781952148606},
    doi = {10.18653/v1/2020.emnlp-main.154},
    arxivId = {2010.00133}
}

@article{lian2021ctnet,
    title = {{CTNet: Conversational transformer network for emotion recognition}},
    year = {2021},
    journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
    author = {Lian, Zheng and Liu, Bin and Tao, Jianhua},
    pages = {985--1000},
    volume = {29},
    publisher = {IEEE}
}

@article{Keskar2019,
    title = {{CTRL: A conditional transformer language model for controllable generation}},
    year = {2019},
    journal = {arXiv},
    author = {Keskar, Nitish Shirish and McCann, Bryan and Varshney, Lav R. and Xiong, Caiming and Socher, Richard},
    pages = {1--18},
    issn = {23318422},
    arxivId = {1909.05858}
}

@article{Masoud2024,
    title = {{Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions}},
    year = {2024},
    journal = {Global AI Cultures workshop at ICLR},
    author = {Masoud, Reem I. and Liu, Ziquan and Ferianc, Martin and Treleaven, Philip and Rodrigues, Miguel},
    url = {http://arxiv.org/abs/2309.12342},
    arxivId = {2309.12342}
}

@article{Lia,
    title = {{CulturePark: Boosting Cross-cultural Understanding in Large Language Models}},
    year = {2024},
    author = {Li, Cheng and Teney, Damien and Yang, Linyi and Wen, Qingsong and Xie, Xing and Wang, Jindong},
    pages = {1--28},
    url = {http://arxiv.org/abs/2405.15145},
    arxivId = {2405.15145}
}

@article{Logan2021,
    title = {{Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models}},
    year = {2021},
    author = {Logan, Robert L. and Bala{\v{z}}evi{\'{c}}, Ivana and Wallace, Eric and Petroni, Fabio and Singh, Sameer and Riedel, Sebastian},
    url = {http://arxiv.org/abs/2106.13353},
    arxivId = {2106.13353}
}

@article{Tirumala2023,
    title = {{D4: Improving LLM Pretraining via Document De-Duplication and Diversification}},
    year = {2023},
    author = {Tirumala, Kushal and Simig, Daniel and Aghajanyan, Armen and Morcos, Ari S.},
    number = {NeurIPS},
    url = {http://arxiv.org/abs/2308.12284},
    arxivId = {2308.12284}
}

@article{Li2017,
    title = {{DailyDialog : A Manually Labelled Multi-turn Dialogue Dataset}},
    year = {2017},
    journal = {Proceedings of the Eighth International Joint Conference on Natural Language Processing},
    author = {Li, Yanran and Su, Hui and Shen, Xiaoyu and Li, Wenjie and Cao, Ziqiang and Niu, Shuzi},
    pages = {986--995}
}

@article{Nguyen2017a,
    title = {{Damage assessment from social media imagery data during disasters}},
    year = {2017},
    journal = {Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017},
    author = {Nguyen, Dat T. and Ofli, Ferda and Imran, Muhammad and Mitra, Prasenjit},
    pages = {569--576},
    isbn = {9781450349932},
    doi = {10.1145/3110025.3110109}
}

@article{Mouzannar2018,
    title = {{Damage Identification in Social Media Posts Using Multimodal Deep Learning}},
    year = {2018},
    journal = {Proceedings of the International ISCRAM Conference},
    author = {Mouzannar, Hussein and Rizk, Yara and Awad, Mariette},
    number = {May},
    pages = {529--543},
    volume = {2018-May},
    isbn = {9780692127605},
    issn = {24113387},
    keywords = {Deep neural networks, Humanitarian computing, Multimodal learning, Natural language processing, Visual object recognition.}
}

@inproceedings{Ajjour2019,
    title = {{Data Acquisition for Argument Search : The args. me Corpus}},
    year = {2019},
    booktitle = {42nd German Conference on Artificial Intelligence (KI 2019)},
    author = {Ajjour, Yamen and Potthast, Martin and Hagen, Matthias}
}

@inproceedings{Sharma2020b,
    title = {{Data augmentation for discrimination prevention and bias disambiguation}},
    year = {2020},
    booktitle = {AIES 2020 - Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society},
    author = {Sharma, Shubham and Zhang, Yunfeng and Aliaga, Jes's M.R.os and Bouneffouf, Djallel and Muthusamy, Vinod and Varshney, Kush R.},
    pages = {358--364},
    isbn = {9781450371100},
    doi = {10.1145/3375627.3375865},
    keywords = {Discrimination Prevention, Fairness in Machine Learning, Responsible Artificial Intelligence}
}

@article{Fadaee2017,
    title = {{Data augmentation for low-Resource neural machine translation}},
    year = {2017},
    journal = {ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers)},
    author = {Fadaee, Marzieh and Bisazza, Arianna and Monz, Christof},
    pages = {567--573},
    volume = {2},
    isbn = {9781945626760},
    doi = {10.18653/v1/P17-2090},
    arxivId = {1705.00440}
}

@article{Scheunemann2020,
    title = {{Data Collection and Annotation Pipeline for Social Good Projects}},
    year = {2020},
    journal = {Proceedings of the AAAI Fall 2020 AI for Social Good Symposium},
    author = {Scheunemann, Christoph and Naumann, Julian and Eichler, Max and Stowe, Kevin and Gurevych, Iryna}
}

@inproceedings{Taori2023,
    title = {{Data Feedback Loops: Model-driven Amplification of Dataset Biases}},
    year = {2023},
    booktitle = {Proceedings of Machine Learning Research},
    author = {Taori, Rohan and Hashimoto, Tatsunori B},
    pages = {33883--33920},
    volume = {202},
    issn = {26403498},
    arxivId = {2209.03942}
}

@article{Mitchell2022a,
    title = {{Data fusion using climatology and seasonal climate forecasts improves estimates of Australian national wheat yields}},
    year = {2022},
    journal = {Agricultural and Forest Meteorology},
    author = {Mitchell, Patrick J. and Waldner, François and Horan, Heidi and Brown, Jaclyn N. and Hochman, Zvi},
    number = {April},
    pages = {108932},
    volume = {320},
    publisher = {Elsevier B.V.},
    url = {https://doi.org/10.1016/j.agrformet.2022.108932},
    doi = {10.1016/j.agrformet.2022.108932},
    issn = {01681923},
    keywords = {Data fusion, Forecast verification, Seasonal climate forecasts, Wheat yield, Yield forecasting}
}

@article{Xie2019,
    title = {{Data noising as smoothing in neural network language models}},
    year = {2017},
    journal = {5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings},
    author = {Xie, Ziang and Wang, Sida I. and Li, Jiwei and L{\'{e}}vy, Daniel and Nie, Aiming and Jurafsky, Dan and Ng, Andrew Y.},
    pages = {1--12},
    arxivId = {arXiv:1703.02573v1}
}

@article{Champion2019,
    title = {{Data-driven discovery of coordinates and governing equations}},
    year = {2019},
    journal = {Proceedings of the National Academy of Sciences of the United States of America},
    author = {Champion, Kathleen and Lusch, Bethany and Nathan Kutz, J. and Brunton, Steven L.},
    number = {45},
    pages = {22445--22451},
    volume = {116},
    doi = {10.1073/pnas.1906995116},
    issn = {10916490},
    pmid = {31636218},
    arxivId = {1904.02107},
    keywords = {Deep learning, Dynamical systems, Machine learning, Model discovery}
}

@inproceedings{Patel2024,
    title = {{DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows}},
    year = {2024},
    booktitle = {ACL},
    author = {Patel, Ajay and Raffel, Colin and Callison-Burch, Chris},
    url = {http://arxiv.org/abs/2402.10379},
    arxivId = {2402.10379}
}

@article{Swayamdipta2020,
    title = {{Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics}},
    year = {2020},
    author = {Swayamdipta, Swabha and Schwartz, Roy and Lourie, Nicholas and Wang, Yizhong and Hajishirzi, Hannaneh and Smith, Noah A. and Choi, Yejin},
    url = {http://arxiv.org/abs/2009.10795},
    arxivId = {2009.10795}
}

@article{Sen2021dbates,
    title = {{DBATES: DataBase of Audio features, Text, and visual Expressions in competitive debate Speeches}},
    year = {2021},
    journal = {IEEE Transactions on Affective Computing},
    author = {Sen, Taylan K and Naven, Gazi and Gerstner, Luke and Bagley, Daryl and Baten, Raiyan Abdul and Rahman, Wasifur and Hasan, Kamrul and Haut, Kurtis and Mamun, Abdullah and Samrose, Samiha and Solbu, Anne and Barnes, R Eric and Frank, Mark G and Hoque, Ehsan}
}

@article{Fortin2012,
    title = {{DEAP: Evolutionary algorithms made easy}},
    year = {2012},
    journal = {Journal of Machine Learning Research},
    author = {Fortin, F́elix Antoine and De Rainville, François Michel and Gardner, Marc Andŕe and Parizeau, Marc and Gag{\'{n}}e, Christian},
    pages = {2171--2175},
    volume = {13},
    issn = {15324435},
    keywords = {Distributed evolutionary algorithms, Software tools}
}

@inproceedings{Roush,
    title = {{DebateSum : A large-scale argument mining and summarization dataset}},
    booktitle = {COLING},
    author = {Roush, Allen and Balaji, Arvind}
}

@inproceedings{Barriere2022debating,
    title = {{Debating Europe : A Multilingual Multi-Target Stance Classification Dataset of Online Debates}},
    year = {2022},
    booktitle = {Proceedings of the First Workshop on Natural Language Processing for Political Sciences (PoliticalNLP), LREC},
    author = {Barriere, Valentin and Balahur, Alexandra and Ravenet, Brian},
    number = {June},
    pages = {16--21},
    publisher = {European Language Resources Association},
    url = {https://aclanthology.org/2022.politicalnlp-1.3},
    address = {Marseille, France},
    keywords = {multilingual, online debates, stance classification}
}

@article{Khan2024,
    title = {{Debating with More Persuasive LLMs Leads to More Truthful Answers}},
    year = {2024},
    author = {Khan, Akbir and Hughes, John and Valentine, Dan and Ruis, Laura and Sachan, Kshitij and Radhakrishnan, Ansh},
    arxivId = {2402.06782}
}

@article{He2020,
    title = {{DeBERTa: Decoding-enhanced BERT with Disentangled Attention}},
    year = {2020},
    journal = {arXiv},
    author = {He, Pengcheng and Liu, Xiaodong and Gao, Jianfeng and Chen, Weizhu},
    pages = {1--21},
    issn = {23318422},
    arxivId = {2006.03654}
}

@article{Jorge2016200KConstitution,
    title = {{200K + Crowdsourced Political Arguments for a New Chilean Constitution}},
    year = {2016},
    author = {Jorge, P and Quezada, Mauricio and Fuentes-bravo, Claudio}
}

@article{DebatingEurope2024VOICES,
    title = {{2024 VOICES}},
    author = {{Debating Europe}}
}

@article{KrishnamurthyADetection,
    title = {{A Deep Learning Approach for Multimodal Deception Detection}},
    author = {Krishnamurthy, Gangeshwar and Majumder, Navonil and Poria, Soujanya},
    arxivId = {arXiv:1803.00344v1},
    keywords = {ek laboratories, nanyang technological university, singapore}
}

@article{Mendoza-revilla2023AGenomes,
    title = {{A Foundational Large Language Model for Edible Plant Genomes}},
    year = {2023},
    author = {Mendoza-revilla, Javier and Trop, Evan and Gonzalez, Liam and Dalla-torre, Hugo and Almeida, Bernardo P De and Richard, Guillaume and Caton, Jonathan and Carranza, Nicolas Lopez and Skwark, Marcin and Laterre, Alex and Beguir, Karim and Pierrot, Thomas and Lopez, Marie}
}

@article{May2024AJudgements,
    title = {{A Perspectivist Corpus of Numbers in Social Judgements}},
    year = {2024},
    author = {May, Marlon and Flek, Lucie and Welch, Charles},
    pages = {42--48},
    keywords = {charles welch, lucie flek, marlon may, numerical reasoning, perspectivism, social norms}
}

@article{RothAPretraining,
    title = {{A Practitioner ’ s Guide to Continual Multimodal Pretraining}},
    author = {Roth, Karsten and Udandarao, Vishaal and Dziadzio, Sebastian and Prabhu, Ameya and Cherti, Mehdi and Vinyals, Oriol and Albanie, Samuel and Akata, Zeynep},
    arxivId = {arXiv:2408.14471v1}
}

@article{Remer2022AMarseille,
    title = {{A Relevance Classifier for German Police Crime Reports Paper Proposed for the LREC 2022 , Marseille}},
    year = {2022},
    author = {Remer, Uwe and Kaffai, Marius and Heiberger, Raphael},
    keywords = {computational legal studies, police crime reports, text classification}
}

@article{MonteirodaSilvaJunior2021AReviews,
    title = {{A roadmap toward the automatic composition of systematic literature reviews}},
    year = {2021},
    journal = {Iberoamerican Journal of Science Measurement and Communication Vol.},
    author = {Monteiro da Silva J{\'{u}}nior, Eugênio and Lima Dutra, Moisés},
    number = {2},
    pages = {1--22},
    volume = {1},
    isbn = {0000000310},
    doi = {10.47909/ijsmc.52}
}

@article{Sun2024AAnalysis,
    title = {{A Unified Framework for Input Feature Attribution Analysis}},
    year = {2024},
    author = {Sun, Jingyi and Atanasova, Pepa and Augenstein, Isabelle},
    arxivId = {arXiv:2406.15085v1}
}

@book{Ceccaldi2024ACEInteractions,
    title = {{ACE : how Artificial Character Embodiment shapes user behaviour in multi-modal interaction To cite this version : HAL Id : hal-04418561 ACE : how Artificial Character Embodiment shapes user behaviour in multi-modal interactions}},
    year = {2024},
    booktitle = {INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION (ICMI '23), October 9{\^{a}}•ﬁ13, 2023, Paris, France},
    author = {Ceccaldi, Eleonora and Biancardi, Beatrice and Falcone, Sara and Ferrando, Silvia and Janssoone, Thomas and Coesel, Anna Martin and Raimbaud, Pierre and Ceccaldi, Eleonora and Biancardi, Beatrice and Falcone, Sara and Ferrando, Silvia and Gorisse, Geoffrey and Ceccaldi, Eleonora and Biancardi, Beatrice and Falcone, Sara and Ferrando, Silvia and Gorisse, Geoffrey and Janssoone, Thomas and Coesel, Anna Martin and Raimbaud, Pierre and Lyon, Centrale},
    number = {1},
    volume = {1},
    publisher = {Association for Computing Machinery},
    isbn = {9798400700552},
    doi = {10.1145/3577190.3617134}
}

@article{Selea2023AgriSen-COGLearning,
    title = {{AgriSen-COG, a Multicountry, Multitemporal Large-Scale Sentinel-2 Benchmark Dataset for Crop Mapping Using Deep Learning}},
    year = {2023},
    journal = {Remote Sensing},
    author = {Selea, Teodora},
    keywords = {agricultural application, benchmark dataset, common agricultural, crop classification, crop detection, crop monitoring, deep learning, image segmentation, multitemporal analysis, sentinel-2}
}

@article{Selea2023AgriSen-COGLearningb,
    title = {{AgriSen-COG, a Multicountry, Multitemporal Large-Scale Sentinel-2 Benchmark Dataset for Crop Mapping Using Deep Learning}},
    year = {2023},
    journal = {Remote Sensing},
    author = {Selea, Teodora},
    keywords = {agricultural application, benchmark dataset, common agricultural, crop classification, crop detection, crop monitoring, deep learning, image segmentation, multitemporal analysis, sentinel-2}
}

@inproceedings{2022AnEmotion,
    title = {{An Experiment of Discourse and Sentiment Analysis for the Prediction of Empathy , Distress and Emotion}},
    year = {2022},
    booktitle = {WASSA}
}

@article{Muscato2024AnPerspectives,
    title = {{An Overview of Recent Approaches to Enable Diversity in Large Language Models through Aligning with Human Perspectives}},
    year = {2024},
    author = {Muscato, Benedetta and Mala, Chandana Sree and Manerba, Marta Marchiori and Gezici, Gizem and Giannotti, Fosca},
    pages = {49--55},
    keywords = {bias, diversity, human annotation, minority groups, perspectivism, text generation}
}

@article{Ghosh2020AnnotatedDetection,
    title = {{Annotated Corpus of Tweets in English from Various Domains for Emotion Detection}},
    year = {2020},
    author = {Ghosh, Soumitra and Ekbal, Asif and Bhattacharyya, Pushpak and Saha, Sriparna and Tyagi, Vipin and Kumar, Alka and Srivastava, Shikha and Kumar, Nitish},
    pages = {460--469}
}

@article{LevyAnnotationData,
    title = {{Annotation Artifacts in Natural Language Inference Data}},
    author = {Levy, Omer and Bowman, Samuel R and Smith, Noah A},
    arxivId = {arXiv:1803.02324v2}
}

@article{Tuia2023ArtificialPerspective,
    title = {{Artificial intelligence to advance Earth observation: a perspective}},
    year = {2023},
    author = {Tuia, Devis and Schindler, Konrad and Demir, Begüm and Camps-Valls, Gustau and Zhu, Xiao Xiang and Kochupillai, Mrinalini and D{\v{z}}eroski, Sašo and van Rijn, Jan N. and Hoos, Holger H and Del Frate, Fabio and Datcu, Mihai and Quian{\'{e}}-Ruiz, Jorge-Arnulfo and Markl, Volker and Saux, Bertrand Le and Schneider, Rochelle},
    pages = {1--50},
    url = {http://arxiv.org/abs/2305.08413},
    arxivId = {2305.08413}
}

@article{Lecerf2019AssessingEurope,
    title = {{Assessing the information in crop model and meteorological indicators to forecast crop yield over Europe}},
    year = {2019},
    journal = {Agricultural Systems},
    author = {Lecerf, Rémi and Ceglar, Andrej and L{\'{o}}pez-lozano, Raúl and Velde, Marijn Van Der and Baruth, Bettina},
    number = {October 2017},
    pages = {191--202},
    volume = {168},
    publisher = {Elsevier},
    url = {https://doi.org/10.1016/j.agsy.2018.03.002},
    doi = {10.1016/j.agsy.2018.03.002},
    issn = {0308-521X}
}

@inproceedings{Sen2018AutomatedCommunication,
    title = {{Automated Dyadic Data Recorder ( ADDR ) Framework and Analysis of Facial Cues in Deceptive Communication}},
    year = {2018},
    booktitle = {ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies},
    author = {Sen, T and Teicher, Z and Hoque, M and Trovato, Ben and Tobin, G K M and Th{\o}rvӓld, Lars and Leipuner, Lawrence P and You, Quanzeng and Palmer, Charles and Smith, John},
    number = {Xx},
    volume = {XX},
    doi = {10.1145/1234}
}

@techreport{Marti-PuigAutomaticNetworks,
    title = {{Automatic Shoreline Detection by Processing Planview 2 Timex Images Using bi-LSTM Networks}},
    author = {Marti-Puig, Pere and Serra-Serra, Moises and Ribas, Francesca and Simarro, Gonzalo and Caballeria, Miquel},
    url = {https://ssrn.com/abstract=4450721}
}

@article{Dinter2021AutomationReview,
    title = {{Automation of systematic literature reviews : A systematic literature review}},
    year = {2021},
    journal = {Information and Software Technology},
    author = {Dinter, Raymon Van and Tekinerdogan, Bedir and Catal, Cagatay},
    number = {April},
    pages = {106589},
    volume = {136},
    publisher = {Elsevier B.V.},
    url = {https://doi.org/10.1016/j.infsof.2021.106589},
    doi = {10.1016/j.infsof.2021.106589},
    issn = {0950-5849},
    keywords = {Systematic literature review (SLR),Automation,Revi, slr, systematic literature review}
}

@article{GallegosBiasSurvey,
    title = {{Bias and Fairness in Large Language Models : A Survey}},
    author = {Gallegos, Isabel O and Rossi, Ryan A and Barrow, Joe and Kim, Sungchul},
    arxivId = {arXiv:2309.00770v2}
}

@article{LiBigDatasetGANAnnotations,
    title = {{BigDatasetGAN : Synthesizing ImageNet with Pixel-wise Annotations}},
    author = {Li, Daiqing and Ling, Huan and Kim, Seung Wook and Kreis, Karsten and Barriuso, Adela and Fidler, Sanja and Torralba, Antonio},
    arxivId = {arXiv:2201.04684v1}
}

@article{CasperBlack-BoxTools,
    title = {{Black-Box Access is Insufficient for Rigorous AI Audits Goals for External Audits Technical Assistance for Auditors Supporting Innovation on Auditing Tools}},
    author = {Casper, Stephen and Csail, M I T and Siegmann, Charlotte and Curtis, Taylor Lynn and Csail, M I T and Hagen, Marvin V O N},
    arxivId = {arXiv:2401.14446v1}
}

@article{Montano2020BlindModels,
    title = {{Blind testing of shoreline evolution models}},
    year = {2020},
    journal = {Scientific Reports},
    author = {Monta{\~{n}}o, Jennifer and Coco, Giovanni and Antol{\'{i}}nez, Jose A.A. and Beuzen, Tomas and Bryan, Karin R. and Cagigal, Laura and Castelle, Bruno and Davidson, Mark A. and Goldstein, Evan B. and Ibaceta, Raimundo and Idier, Déborah and Ludka, Bonnie C. and Masoud-Ansari, Sina and M{\'{e}}ndez, Fernando J. and Murray, A. Brad and Plant, Nathaniel G. and Ratliff, Katherine M. and Robinet, Arthur and Rueda, Ana and S{\'{e}}n{\'{e}}chal, Nadia and Simmons, Joshua A. and Splinter, Kristen D. and Stephens, Scott and Townend, Ian and Vitousek, Sean and Vos, Kilian},
    number = {1},
    month = {12},
    volume = {10},
    publisher = {Nature Research},
    doi = {10.1038/s41598-020-59018-y},
    issn = {20452322},
    pmid = {32034246}
}

@article{Khurana2024C,
    title = {{C ROWD -C ALIBRATOR : Can Annotator Disagreement Inform Calibration in Subjective Tasks ?}},
    year = {2024},
    author = {Khurana, Urja and Nalisnick, Eric and Fokkens, Antske and Swayamdipta, Swabha},
    pages = {1--24}
}

@article{Lahnala2022CAISAPrediction,
    title = {{CAISA at WASSA 2022 : Adapter-Tuning for Empathy Prediction}},
    year = {2022},
    author = {Lahnala, Allison and Welch, Charles and Flek, Lucie}
}

@article{Coling2025Chain-of-ThoughtActivation,
    title = {{Chain-of-Thought in Large Language Models : Decoding , Projection , and Activation}},
    year = {2025},
    author = {Coling, Anonymous}
}

@article{Hellas2023CLEFForum,
    title = {{CLEF 2023 | Conference and Labs of the Evaluation Forum Call for Labs Proposals CLEF 2023 | Conference and Labs of the Evaluation Forum}},
    year = {2023},
    author = {Hellas, Technology},
    pages = {8--11}
}

@article{Sadhukhan2023ClimaticPrediction,
    title = {{Climatic and seismic data-driven deep learning model for earthquake magnitude prediction}},
    year = {2023},
    journal = {Frontiers in Earth Science},
    author = {Sadhukhan, Bikash and Chakraborty, Shayak and Mukherjee, Somenath and Samanta, Raj Kumar},
    number = {February},
    pages = {1--24},
    volume = {11},
    doi = {10.3389/feart.2023.1082832},
    issn = {22966463},
    keywords = {LSTM—long short-term memory, bidirectional long short-term memory (Bi-LSTM), climate change, earthquake prediction, global temperature anomaly, transformer model}
}

@article{Giang2023CoastlineImages,
    title = {{Coastline and shoreline change assessment in sandy coasts based on machine learning models and high-resolution satellite images}},
    year = {2023},
    journal = {Vietnam Journal of Earth Sciences},
    author = {Giang, Tuan Linh and Dang, Kinh Bac and Bui, Quang Thanh},
    number = {2},
    month = {6},
    pages = {251--270},
    volume = {45},
    publisher = {Publishing House of Natural Science and Technology, VAST},
    doi = {10.15625/2615-9783/18407},
    issn = {26159783},
    keywords = {Erosion, Google Earth, Random Forest, Support Vector Machine, Unet}
}

@article{Robinson2023ContrastingPLMs,
    title = {{Contrasting Sequence with Structure : Pre-training Graph Representations with PLMs}},
    year = {2023},
    author = {Robinson, Louis and Atkinson, Timothy and Bordes, Patrick and Barrett, Thomas D},
    number = {NeurIPS},
    pages = {1--16}
}

@misc{CorpusWww.latamgpt.org,
    title = {{corpus @ www.latamgpt.org}},
    url = {https://www.latamgpt.org/corpus}
}

@article{Garg2018CounterfactualRobustness,
    title = {{Counterfactual Fairness in Text Classification through Robustness}},
    year = {2018},
    author = {Garg, Sahaj and Perot, Vincent and Limtiaco, Nicole and Taly, Ankur and Chi, Ed H and Beutel, Alex},
    arxivId = {arXiv:1809.10610v2}
}

@article{Zhang2023Cross-LingualFramework,
    title = {{Cross-Lingual Cross-Target Stance Detection with Dual Knowledge Distillation Framework}},
    year = {2023},
    author = {Zhang, Ruike and Yang, Hanxuan and Mao, Wenji},
    pages = {10804--10819}
}
@article{He2021,
    title = {{DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing}},
    year = {2021},
    author = {He, Pengcheng and Gao, Jianfeng and Chen, Weizhu},
    pages = {1--17},
    url = {http://arxiv.org/abs/2111.09543},
    arxivId = {2111.09543}
}

@inproceedings{Kaneko2022b,
    title = {{Debiasing isn’t enough! – On the Effectiveness of Debiasing MLMs and their Social Biases in Downstream Tasks}},
    year = {2022},
    booktitle = {Proceedings - International Conference on Computational Linguistics, COLING},
    author = {Kaneko, Masahiro and Bollegala, Danushka and Okazaki, Naoaki},
    number = {1},
    pages = {1299--1310},
    volume = {29},
    issn = {29512093},
    arxivId = {2210.02938}
}

@inproceedings{Morabito2023,
    title = {{Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models}},
    year = {2023},
    booktitle = {Findings of ACL: ACL 2023},
    author = {Morabito, Robert and Kabbara, Jad and Emami, Ali},
    pages = {4581--4597},
    url = {http://arxiv.org/abs/2305.14307},
    arxivId = {2305.14307}
}

@article{Chuang2023,
    title = {{Debiasing Vision-Language Models via Biased Prompts}},
    year = {2023},
    author = {Chuang, Ching-Yao and Jampani, Varun and Li, Yuanzhen and Torralba, Antonio and Jegelka, Stefanie},
    url = {http://arxiv.org/abs/2302.00070},
    arxivId = {2302.00070}
}

@article{Chuang2023a,
    title = {{Debiasing Vision-Language Models via Biased Prompts}},
    year = {2023},
    author = {Chuang, Ching-Yao and Jampani, Varun and Li, Yuanzhen and Torralba, Antonio and Jegelka, Stefanie},
    url = {http://arxiv.org/abs/2302.00070},
    arxivId = {2302.00070}
}

@article{Emnlp2020a,
    title = {{Deconstructing changes in view : Constraint-based argument modeling in a hierarchical generative approach}},
    year = {2020},
    author = {Emnlp, Anonymous},
    pages = {1--5}
}

@article{Lee2022,
    title = {{Deduplicating Training Data Makes Language Models Better}},
    year = {2022},
    journal = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Lee, Katherine and Ippolito, Daphne and Nystrom, Andrew and Zhang, Chiyuan and Eck, Douglas and Callison-Burch, Chris and Carlini, Nicholas},
    pages = {8424--8445},
    volume = {1},
    isbn = {9781955917216},
    doi = {10.18653/v1/2022.acl-long.577},
    issn = {0736587X},
    arxivId = {2107.06499}
}

@inproceedings{Sharma17EANN,
    title = {{Deep convolutional neural network for fire detection}},
    year = {2017},
    booktitle = {EANN AG 2017},
    author = {Sharma, Jivitesh and Granmo, Ole-Christoffer and Goodwin, Morten and Fidje, Jahn Thomas},
    pages = {183--193},
    isbn = {9781728164694},
    doi = {10.1109/RADIOELEKTRONIKA49387.2020.9092344}
}

@article{Alam2020b,
    title = {{Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response}},
    year = {2020},
    journal = {Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020},
    author = {Alam, Firoj and Ofli, Ferda and Imran, Muhammad and Alam, Tanvirul and Qazi, Umair},
    pages = {151--158},
    isbn = {9781728110561},
    doi = {10.1109/ASONAM49781.2020.9381294},
    arxivId = {2011.08916},
    keywords = {Benchmarking, Crisis computing, Deep learning, Disaster Image Classification, Natural disasters, Social media}
}

@inproceedings{Liua2015,
    title = {{Deep learning face attributes in the wild}},
    year = {2015},
    booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
    author = {Liu, Ziwei and Luo, Ping and Wang, Xiaogang and Tang, Xiaoou},
    pages = {3730--3738},
    volume = {2015 Inter},
    isbn = {9781467383912},
    doi = {10.1109/ICCV.2015.425},
    issn = {15505499},
    arxivId = {1411.7766}
}

@article{heaton2017deep,
    title = {{Deep learning for finance: deep portfolios}},
    year = {2017},
    journal = {Applied Stochastic Models in Business and Industry},
    author = {Heaton, James B and Polson, Nick G and Witte, Jan Hendrik},
    number = {1},
    pages = {3--12},
    volume = {33},
    publisher = {Wiley Online Library}
}

@inproceedings{Prapas2022,
    title = {{Deep Learning for Global Wildfire Forecasting}},
    year = {2022},
    booktitle = {Tackling Climate Change with Machine Learning workshop at NeurIPS},
    author = {Prapas, Ioannis and Ahuja, Akanksha and Kondylatos, Spyros and Karasante, Ilektra and Panagiotou, Eleanna and Alonso, Lazaro and Davalas, Charalampos and Michail, Dimitrios and Carvalhais, Nuno and Papoutsis, Ioannis},
    pages = {1--9},
    url = {http://arxiv.org/abs/2211.00534},
    arxivId = {2211.00534}
}

@article{Aluru2020,
    title = {{Deep Learning Models for Multilingual Hate Speech Detection}},
    year = {2020},
    author = {Aluru, Sai Saketh and Mathew, Binny and Saha, Punyajoy and Mukherjee, Animesh},
    pages = {1--16},
    url = {http://arxiv.org/abs/2004.06465},
    arxivId = {2004.06465},
    keywords = {bert, classification, embed-, hate speech, multilingual}
}

@article{Waldner2020,
    title = {{Deep learning on edge: Extracting field boundaries from satellite images with a convolutional neural network}},
    year = {2020},
    journal = {Remote Sensing of Environment},
    author = {Waldner, François and Diakogiannis, Foivos I.},
    volume = {245},
    doi = {10.1016/j.rse.2020.111741},
    issn = {00344257},
    arxivId = {1910.12023},
    keywords = {Agriculture, Computer vision, Field boundaries, Generalisation, Instance segmentation, Multitasking, Semantic segmentation, Sentinel-2}
}

@article{Song2016a,
    title = {{Deep Metric Learning via Lifted Structured Feature Embedding}},
    year = {2016},
    journal = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
    author = {Song, Hyun Oh and Xiang, Yu and Jegelka, Stefanie and Savarese, Silvio},
    pages = {4004--4012},
    volume = {2016-Decem},
    isbn = {9781467388504},
    doi = {10.1109/CVPR.2016.434},
    issn = {10636919},
    arxivId = {1511.06452}
}

@inproceedings{Nojavanasghari,
    title = {{Deep Multimodal Fusion for Persuasiveness Prediction}},
    year = {2016},
    booktitle = {ICMI 2016 - Proceedings of the 2016 ACM International Conference on Multimodal Interaction},
    author = {Nojavanasghari, Behnaz and Gopinath, Deepak and Koushik, Jayanth and Baltru{\v{s}}aitis, Tadas and Morency, Louis-Philippe},
    pages = {1--5},
    isbn = {9781450345569},
    doi = {10.1145/2993148.2993176},
    keywords = {@BULLETApplied computing → Psychology, Keywords Persuasiveness, deep neural networks, multimodal fusion}
}

@inproceedings{Urrutia2023b,
    title = {{Deep Natural Language Feature Learning for Interpretable Prediction}},
    year = {2023},
    booktitle = {EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings},
    author = {Urrutia, Felipe and Buc, Cristian and Barriere, Valentin},
    pages = {3736--3763},
    isbn = {9798891760608},
    doi = {10.18653/v1/2023.emnlp-main.229}
}

@article{Christiano2017,
    title = {{Deep reinforcement learning from human preferences}},
    year = {2017},
    journal = {Advances in Neural Information Processing Systems},
    author = {Christiano, Paul F. and Leike, Jan and Brown, Tom B. and Martic, Miljan and Legg, Shane and Amodei, Dario},
    number = {Nips},
    pages = {4300--4308},
    volume = {2017-Decem},
    issn = {10495258},
    arxivId = {1706.03741}
}

@inproceedings{He2016,
    title = {{Deep residual learning for image recognition}},
    year = {2016},
    booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
    author = {He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
    pages = {770--778},
    volume = {2016-Decem},
    isbn = {9781467388504},
    doi = {10.1109/CVPR.2016.90},
    issn = {10636919},
    arxivId = {1512.03385}
}

@article{Basile2016b,
    title = {{Deep Tweets : from Entity Linking to Sentiment Analysis}},
    year = {2016},
    author = {Basile, Pierpaolo and Basile, Valerio and Nissim, Malvina and Novielli, Nicole and Basile, Pierpaolo and Basile, Valerio and Nissim, Malvina and Novielli, Nicole and Tweets, Deep and Basile, Pierpaolo and Basile, Valerio and Nissim, Malvina and Novielli, Nicole}
}

@article{Karpathy2017,
    title = {{Deep Visual-Semantic Alignments for Generating Image Descriptions}},
    year = {2017},
    journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
    author = {Karpathy, Andrej and Fei-Fei, Li},
    number = {4},
    pages = {664--676},
    volume = {39},
    doi = {10.1109/TPAMI.2016.2598339},
    issn = {01628828},
    pmid = {27514036},
    arxivId = {1412.2306},
    keywords = {Image captioning, deep neural networks, language model, recurrent neural network, visual-semantic embeddings}
}

@article{Demir2018,
    title = {{DeepGlobe 2018: A challenge to parse the earth through satellite images}},
    year = {2018},
    journal = {IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops},
    author = {Demir, Ilke and Koperski, Krzysztof and Lindenbaum, David and Pang, Guan and Huang, Jing and Basu, Saikat and Hughes, Forest and Tuia, Devis and Raska, Ramesh},
    pages = {172--181},
    volume = {2018-June},
    isbn = {9781538661000},
    doi = {10.1109/CVPRW.2018.00031},
    issn = {21607516},
    arxivId = {1805.06561}
}

@article{Wang2022,
    title = {{DeepNet: Scaling Transformers to 1,000 Layers}},
    year = {2022},
    author = {Wang, Hongyu and Ma, Shuming and Dong, Li and Huang, Shaohan and Zhang, Dongdong and Wei, Furu},
    pages = {1--22},
    url = {http://arxiv.org/abs/2203.00555},
    arxivId = {2203.00555}
}

@article{Marques-Silva2022,
    title = {{Delivering Trustworthy AI through Formal XAI}},
    year = {2022},
    journal = {Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022},
    author = {Marques-Silva, Joao and Ignatiev, Alexey},
    number = {Rudin 2019},
    pages = {12342--12350},
    volume = {36},
    isbn = {1577358767},
    doi = {10.1609/aaai.v36i11.21499},
    issn = {2159-5399},
    keywords = {SUM: Formal XAI, SUM: Reliable And Irredundant Explanations, SUM: Trustworthy XAI}
}

@inproceedings{He2015a,
    title = {{Delving Deep into Rectifiers : Surpassing Human-Level Performance on ImageNet Classification}},
    year = {2015},
    booktitle = {ICCV},
    author = {He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian}
}

@article{Gonen2022,
    title = {{Demystifying Prompts in Language Models via Perplexity Estimation}},
    year = {2022},
    author = {Gonen, Hila and Iyer, Srini and Blevins, Terra and Smith, Noah A. and Zettlemoyer, Luke},
    url = {http://arxiv.org/abs/2212.04037},
    arxivId = {2212.04037}
}

@inproceedings{Kondmann2021,
    title = {{DENETHOR : The DynamicEarthNET dataset for crop monitoring from space}},
    year = {2021},
    booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021)},
    author = {Kondmann, Lukas and Toker, Aysim and Ru{\ss}wurm, Marc and Camero, Andrés and Peressutti, Devis and Milcinski, Grega and Long{\'{e}}p{\'{e}}, Nicolas and Mathieu, Pierre-philippe},
    number = {NeurIPS},
    pages = {1--13}
}

@inproceedings{Kondmann2021b,
    title = {{DENETHOR : The DynamicEarthNET dataset for crop monitoring from space}},
    year = {2021},
    booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021)},
    author = {Kondmann, Lukas and Toker, Aysim and Ru{\ss}wurm, Marc and Camero, Andrés and Peressutti, Devis and Milcinski, Grega and Long{\'{e}}p{\'{e}}, Nicolas and Mathieu, Pierre-philippe},
    number = {NeurIPS},
    pages = {1--13}
}

@inproceedings{Ho2020,
    title = {{Denoising diffusion probabilistic models}},
    year = {2020},
    booktitle = {Advances in Neural Information Processing Systems},
    author = {Ho, Jonathan and Jain, Ajay and Abbeel, Pieter},
    number = {NeurIPS 2020},
    pages = {1--25},
    volume = {2020-Decem},
    issn = {10495258},
    arxivId = {2006.11239}
}

@inproceedings{Huang2017,
    title = {{Densely Connected Convolutional Networks}},
    year = {2017},
    booktitle = {CVPR},
    author = {Huang, Gao and Liu, Zhuang and van der Maaten, Laurens and Weinberger, Kilian Q.},
    issn = {00029645},
    pmid = {211888}
}

@inproceedings{Shi2024,
    title = {{DEPT: DECOMPOSED PROMPT TUNING FOR PARAMETER-EFFICIENT FINE-TUNING}},
    year = {2024},
    booktitle = {12th International Conference on Learning Representations, ICLR 2024},
    author = {Shi, Zhengxiang and Lipani, Aldo},
    pages = {1--21},
    arxivId = {2309.05173}
}

@article{Staerman2021,
    title = {{Depth-based pseudo-metrics between probability distributions}},
    year = {2021},
    author = {Staerman, Guillaume and Mozharovskyi, Pavlo and Cl{\'{e}}men{\c{c}}on, Stéphan and d'Alch{\'{e}}-Buc, Florence},
    number = {Mmd},
    url = {http://arxiv.org/abs/2103.12711},
    arxivId = {2103.12711}
}

@misc{ObservatoiredesInegalites2021,
    title = {{Des contr{\^{o}}les de police tr{\`{e}}s in{\'{e}}gaux selon la couleur de la peau}},
    year = {2021},
    booktitle = {DONN{\'{E}}ES},
    author = {{Observatoire des In{\'{e}}galit{\'{e}}s}},
    url = {https://inegalites.fr/Des-controles-de-police-tres-inegaux-selon-la-couleur-de-la-peau}
}

@article{Alam2020,
    title = {{Descriptive and visual summaries of disaster events using artificial intelligence techniques: case studies of Hurricanes Harvey, Irma, and Maria}},
    year = {2020},
    journal = {Behaviour and Information Technology},
    author = {Alam, Firoj and Ofli, Ferda and Imran, Muhammad},
    number = {3},
    pages = {288--318},
    volume = {39},
    publisher = {Taylor {\&} Francis},
    url = {https://doi.org/10.1080/0144929X.2019.1610908},
    doi = {10.1080/0144929X.2019.1610908},
    issn = {13623001},
    keywords = {Social media, disaster management, image processing, named-entity recognition, text classification, topic modelling}
}

@article{Ghassemi2022b,
    title = {{Designing a European-Wide Crop Type Mapping Approach Based on Machine Learning Algorithms Using LUCAS Field Survey and Sentinel-2 Data}},
    year = {2022},
    journal = {Remote Sensing},
    author = {Ghassemi, Babak and Dujakovic, Aleksandar and {\.{Z}}{\'{o}}{\l}tak, Mateusz and Immitzer, Markus and Atzberger, Clement and Vuolo, Francesco},
    number = {3},
    volume = {14},
    doi = {10.3390/rs14030541},
    issn = {20724292},
    keywords = {Crop type classification, LUCAS 2018, Random forest, Support vector machine}
}

@article{parmar2022designing,
    title = {{Designing empathic virtual agents: manipulating animation, voice, rendering, and empathy to create persuasive agents}},
    year = {2022},
    journal = {Autonomous Agents and Multi-Agent Systems},
    author = {Parmar, Dhaval and Olafsson, Stefan and Utami, Dina and Murali, Prasanth and Bickmore, Timothy},
    number = {1},
    pages = {17},
    volume = {36},
    publisher = {Springer}
}

@article{Pustejovsky2021,
    title = {{Designing Multimodal Datasets for NLP Challenges}},
    year = {2021},
    author = {Pustejovsky, James and Holderness, Eben and Tu, Jingxuan and Glenn, Parker and Rim, Kyeongmin and Lynch, Kelley and Brutti, Richard},
    url = {http://arxiv.org/abs/2105.05999},
    arxivId = {2105.05999}
}

@article{Waldner2021,
    title = {{Detect, consolidate, delineate: Scalable mapping of field boundaries using satellite images}},
    year = {2021},
    journal = {Remote Sensing},
    author = {Waldner, François and Diakogiannis, Foivos I. and Batchelor, Kathryn and Ciccotosto-Camp, Michael and Cooper-Williams, Elizabeth and Herrmann, Chris and Mata, Gonzalo and Toovey, Andrew},
    number = {11},
    pages = {1--24},
    volume = {13},
    doi = {10.3390/rs13112197},
    issn = {20724292},
    keywords = {Agriculture, Deep learning, Instance segmentation, Semantic segmentation, Sentinel-2}
}

@article{Hassan2016,
    title = {{Detecting Check-worthy Factual Claims in Presidential Debates}},
    year = {2016},
    author = {Hassan, Naeemul and Tremayne, Mark},
    isbn = {9781450337946},
    keywords = {computational journalism, fact checking, text classification}
}

@inproceedings{Kopev2019,
    title = {{Detecting Deception in Political Debates Using Acoustic and Textual Features}},
    year = {2019},
    booktitle = {2019 IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2019 - Proceedings},
    author = {Kopev, Daniel and Ali, Ahmed and Koychev, Ivan and Nakov, Preslav},
    pages = {652--659},
    isbn = {9781728103068},
    doi = {10.1109/ASRU46091.2019.9003892},
    arxivId = {1910.01990},
    keywords = {computational paralinguistics, deception detection, disinformation, fact-checking, fake news, multi-modality, political debates}
}

@inproceedings{Guo2021a,
    title = {{Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases}},
    year = {2021},
    booktitle = {AIES 2021 - Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society},
    author = {Guo, Wei and Caliskan, Aylin},
    pages = {122--133},
    isbn = {9781450384735},
    doi = {10.1145/3461702.3462536},
    arxivId = {2006.03955},
    keywords = {AI ethics, bias, intersectionality, language models, social psychology, word embeddings}
}

@article{d2020detecting,
    title = {{Detecting flowering phenology in oil seed rape parcels with Sentinel-1 and-2 time series}},
    year = {2020},
    journal = {Remote Sensing of Environment},
    author = {d’Andrimont, Raphaël and Taymans, Matthieu and Lemoine, Guido and Ceglar, Andrej and Yordanov, Momchil and van der Velde, Marijn},
    pages = {111660},
    volume = {239},
    publisher = {Elsevier}
}

@article{Tofighi2020,
    title = {{Detecting illicit opioid content on Twitter}},
    year = {2020},
    journal = {Drug and Alcohol Review},
    author = {Tofighi, Babak and Aphinyanaphongs, Yindalon and Marini, Christina and Ghassemlou, Shouron and Nayebvali, Peyman and Metzger, Isabel and Raghunath, Ananditha and Thomas, Shailin},
    number = {3},
    volume = {39},
    url = {https://onlinelibrary.wiley.com/doi/epdf/10.1111/dar.13048}
}

@inproceedings{Weber2020,
    title = {{Detecting natural disasters, damage, and incidents in the wild}},
    year = {2020},
    booktitle = {ECCV},
    author = {Weber, Ethan and Marzo, Nuria and Papadopoulos, Dim P. and Biswas, Aritro and Lapedriza, Agata and Ofli, Ferda and Imran, Muhammad and Torralba, Antonio},
    pages = {1--20},
    url = {http://arxiv.org/abs/2008.09188},
    arxivId = {2008.09188},
    keywords = {disaster analysis, image classification, image dataset, incident detection, ing, scene understand-, social media, visual recognition}
}

@article{dass2022detecting,
    title = {{Detecting racial inequalities in criminal justice: towards an equitable deep learning approach for generating and interpreting racial categories using mugshots}},
    year = {2022},
    journal = {AI {\&} SOCIETY},
    author = {Dass, Rahul Kumar and Petersen, Nick and Omori, Marisa and Lave, Tamara Rice and Visser, Ubbo},
    pages = {1--22},
    publisher = {Springer}
}

@inproceedings{Kayi2020,
    title = {{Detecting Urgency Status of Crisis Tweets : A Transfer Learning Approach for Low Resource Languages}},
    year = {2020},
    booktitle = {COLING},
    author = {Kayi, Efsun Sarioglu and Nan, Linyong and Qu, Bohan and Nan, Linyong and Mckeown, Kathleen and Diab, Mona},
    pages = {4693--4703}
}

@article{Wolf2021,
    title = {{Detecting wine taste using Recommender Systems}},
    year = {2021},
    author = {Wolf, Geronimo},
    keywords = {recommender sys-, suggestion algorithm, taste, tems, wine, wine recommender system}
}

@article{Zubiaga2017,
    title = {{Detection and resolution of rumours in social media: A survey}},
    year = {2017},
    journal = {arXiv},
    author = {Zubiaga, Arkaitz and Aker, Ahmet and Bontcheva, Kalina and Liakata, Maria and Procter, Rob},
    number = {2},
    volume = {51},
    issn = {23318422},
    keywords = {Disinformation, Misinformation, Rumour classification, Rumour detection, Rumour resolution, Social media, Veracity}
}

@article{Boididou2018,
    title = {{Detection and visualization of misleading content on Twitter}},
    year = {2018},
    journal = {International Journal of Multimedia Information Retrieval},
    author = {Boididou, Christina and Papadopoulos, Symeon and Zampoglou, Markos and Apostolidis, Lazaros and Papadopoulou, Olga and Kompatsiaris, Yiannis},
    number = {1},
    pages = {71--86},
    volume = {7},
    publisher = {Springer London},
    doi = {10.1007/s13735-017-0143-x},
    issn = {2192662X},
    keywords = {Fake detection, Information credibility, Social media, Verification}
}

@article{Wiegand2019,
    title = {{Detection of abusive language: The problem of biased datasets}},
    year = {2019},
    journal = {NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference},
    author = {Wiegand, Michael and Ruppenhofer, Josef and Kleinbauer, Thomas},
    pages = {602--608},
    volume = {1},
    isbn = {9781950737130}
}

@article{Jaidka2022,
    title = {{Developing A Multilabel Corpus for the Quality Assessment of Online Political Talk}},
    year = {2022},
    journal = {2022 Language Resources and Evaluation Conference, LREC 2022},
    author = {Jaidka, Kokil},
    number = {June},
    pages = {5503--5510},
    isbn = {9791095546726},
    keywords = {Facebook, Twitter, comments, deliberation, justification, political discussions}
}

@article{Lison2020,
    title = {{Developing NLP models without labelled data}},
    year = {2020},
    author = {Lison, Pierre}
}

@article{Kumar2014,
    title = {{Developing politeness annotated corpus of Hindi blogs}},
    year = {2014},
    journal = {Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014},
    author = {Kumar, Ritesh},
    pages = {1275--1280},
    isbn = {9782951740884},
    keywords = {Hindi blogs, Hindi politeness, Politeness annotation}
}

@article{Tajima2021,
    title = {{Development of a shoreline detection method using an artificial neural network based on satellite sar imagery}},
    year = {2021},
    journal = {Remote Sensing},
    author = {Tajima, Yoshimitsu and Wu, Lianhui and Watanabe, Kunihiro},
    number = {12},
    pages = {1--16},
    volume = {13},
    doi = {10.3390/rs13122254},
    issn = {20724292},
    keywords = {Artificial neural network, SAR, Satellite, Shoreline detection}
}

@article{Steinberger2011a,
    title = {{DGT-TM : A freely Available Translation Memory in 22 Languages}},
    year = {2011},
    author = {Steinberger, Ralf and Eisele, Andreas and Klocek, Szymon and Pilos, Spyridon and Schl{\"{u}}ter, Patrick},
    pages = {454--459},
    keywords = {1, 231 language pairs, EC, JRC, DGT, Translation Memory, multilingual, 22, european commission, in recent years, introduction and motivation, linguistic resources, number of large-scale multilingual, released a, the european commission has, translation memory}
}

@article{Hwang2023a,
    title = {{Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources}},
    year = {2023},
    journal = {EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings},
    author = {Hwang, Yerin and Kim, Yongil and Bae, Hyunkyung and Lee, Hwanhee and Bang, Jeesoo and Jung, Kyomin},
    pages = {8806--8828},
    isbn = {9798891760608},
    doi = {10.18653/v1/2023.emnlp-main.545},
    arxivId = {2311.07589}
}

@article{Ghosal2019,
    title = {{DialogueGCN: A graph convolutional neural network for emotion recognition in conversation}},
    year = {2019},
    journal = {arXiv},
    author = {Ghosal, Deepanway and Majumder, Navonil and Poria, Soujanya and Chhaya, Niyati and Gelbukh, Alexander},
    volume = {2},
    issn = {23318422}
}

@inproceedings{Hazarika2018DialogueRNN,
    title = {{DialogueRNN: An Attentive RNN for Emotion Detection in Conversations}},
    year = {2019},
    booktitle = {AAAI},
    author = {Majumder, Navonil and Poria, Soujanya and Hazarika, Devamanyu and Mihalcea, Rada and Gelbukh, Alexander and Cambria, Erik},
    arxivId = {arXiv:1811.00405v2}
}

@article{Shen2020,
    title = {{DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition}},
    year = {2020},
    author = {Shen, Weizhou and Chen, Junqing and Quan, Xiaojun and Xie, Zhixian},
    url = {http://arxiv.org/abs/2012.08695},
    arxivId = {2012.08695}
}

@inproceedings{Aroyo2023,
    title = {{DICES Dataset: Diversity in Conversational AI Evaluation for Safety}},
    year = {2023},
    booktitle = {Neurips},
    author = {Aroyo, Lora and Taylor, Alex S. and Diaz, Mark and Homan, Christopher M. and Parrish, Alicia and Serapio-Garcia, Greg and Prabhakaran, Vinodkumar and Wang, Ding},
    pages = {1--13},
    url = {http://arxiv.org/abs/2306.11247},
    arxivId = {2306.11247}
}

@article{Geva2021,
    title = {{Did aristotle use a laptop? A question answering benchmark with implicit reasoning strategies}},
    year = {2021},
    journal = {Transactions of the Association for Computational Linguistics},
    author = {Geva, Mor and Khashabi, Daniel and Segal, Elad and Khot, Tushar and Roth, Dan and Berant, Jonathan},
    pages = {346--361},
    volume = {9},
    doi = {10.1162/tacl{\_}a{\_}00370 shed 4/2021.},
    issn = {2307387X},
    arxivId = {2101.02235}
}

@article{Li2020d,
    title = {{Differentiable Automatic Data Augmentation}},
    year = {2020},
    journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    author = {Li, Yonggang and Hu, Guosheng and Wang, Yongtao and Hospedales, Timothy and Robertson, Neil M. and Yang, Yongxin},
    pages = {580--595},
    volume = {12367 LNCS},
    isbn = {9783030585419},
    doi = {10.1007/978-3-030-58542-6{\_}35},
    issn = {16113349},
    arxivId = {arXiv:2003.03780v3},
    keywords = {AutoML, Data augmentation, Differentiable optimization}
}

@article{Shankar2020,
    title = {{Digital Crop Health Monitoring by Analyzing Social Media Streams}},
    year = {2020},
    journal = {IEEE / ITU International Conference on Artificial Intelligence for Good, AI4G 2020},
    author = {Shankar, Priyamvada and Bitter, Christian and Liwicki, Marcus},
    pages = {87--94},
    isbn = {9781728170312},
    doi = {10.1109/AI4G50087.2020.9310985},
    keywords = {Crop Stress Alert, Machine Learning, Natural Language Processing, Precision Farming, Social Media Analytic}
}

@book{Lyu2022,
    title = {{DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations}},
    year = {2022},
    booktitle = {Proceedings of  (Preprint)},
    author = {Lyu, Yiwei and Liang, Paul Pu and Deng, Zihao and Salakhutdinov, Ruslan and Morency, Louis-Philippe},
    number = {1},
    volume = {1},
    publisher = {Association for Computing Machinery},
    url = {http://arxiv.org/abs/2203.02013},
    arxivId = {2203.02013},
    keywords = {disentangled representation learning, explainability, interpretability, ization, multimodal machine learning, multimodal machine learning, interpretability, exp, visual-}
}

@article{Rafailov2023,
    title = {{Direct Preference Optimization: Your Language Model is Secretly a Reward Model}},
    year = {2023},
    author = {Rafailov, Rafael and Sharma, Archit and Mitchell, Eric and Ermon, Stefano and Manning, Christopher D. and Finn, Chelsea},
    url = {http://arxiv.org/abs/2305.18290},
    arxivId = {2305.18290}
}

@article{Zubiaga2018,
    title = {{Discourse-aware rumour stance classification in social media using sequential classifiers}},
    year = {2018},
    journal = {Information Processing and Management},
    author = {Zubiaga, Arkaitz and Kochkina, Elena and Liakata, Maria and Procter, Rob and Lukasik, Michal and Bontcheva, Kalina and Cohn, Trevor and Augenstein, Isabelle},
    number = {2},
    pages = {273--290},
    volume = {54},
    doi = {10.1016/j.ipm.2017.11.009},
    issn = {03064573},
    arxivId = {1712.02223},
    keywords = {Breaking news, Social media, Stance classification, Veracity classification}
}

@article{Wiles2022,
    title = {{Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning}},
    year = {2022},
    author = {Wiles, Olivia and Albuquerque, Isabela and Gowal, Sven},
    pages = {1--18},
    volume = {2},
    url = {http://arxiv.org/abs/2208.08831},
    arxivId = {2208.08831}
}

@article{Bakarji2022,
    title = {{Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders}},
    year = {2022},
    author = {Bakarji, Joseph and Champion, Kathleen and Kutz, J. Nathan and Brunton, Steven L.},
    pages = {1--23},
    url = {http://arxiv.org/abs/2201.05136},
    arxivId = {2201.05136},
    keywords = {attractor reconstruction, autoencoder, deep learning, dynamical systems, machine learning, model discovery, sparse nonlinear modeling, takens embedding, time delays}
}

@article{Perez2022,
    title = {{Discovering Language Model Behaviors with Model-Written Evaluations}},
    year = {2022},
    author = {Perez, Ethan and Ringer, Sam and Luko{\v{s}}i{\={u}}t{\.{e}}, Kamilė and Nguyen, Karina and Chen, Edwin and Heiner, Scott and Pettit, Craig and Olsson, Catherine and Kundu, Sandipan and Kadavath, Saurav and Jones, Andy and Chen, Anna and Mann, Ben and Israel, Brian and Seethor, Bryan and McKinnon, Cameron and Olah, Christopher and Yan, Da and Amodei, Daniela and Amodei, Dario and Drain, Dawn and Li, Dustin and Tran-Johnson, Eli and Khundadze, Guro and Kernion, Jackson and Landis, James and Kerr, Jamie and Mueller, Jared and Hyun, Jeeyoon and Landau, Joshua and Ndousse, Kamal and Goldberg, Landon and Lovitt, Liane and Lucas, Martin and Sellitto, Michael and Zhang, Miranda and Kingsland, Neerav and Elhage, Nelson and Joseph, Nicholas and Mercado, Noemí and DasSarma, Nova and Rausch, Oliver and Larson, Robin and McCandlish, Sam and Johnston, Scott and Kravec, Shauna and Showk, Sheer El and Lanham, Tamera and Telleen-Lawton, Timothy and Brown, Tom and Henighan, Tom and Hume, Tristan and Bai, Yuntao and Hatfield-Dodds, Zac and Clark, Jack and Bowman, Samuel R. and Askell, Amanda and Grosse, Roger and Hernandez, Danny and Ganguli, Deep and Hubinger, Evan and Schiefer, Nicholas and Kaplan, Jared},
    number = {c},
    volume = {1},
    url = {http://arxiv.org/abs/2212.09251},
    arxivId = {2212.09251}
}

@inproceedings{Dalvi2022discovering,
    title = {{DISCOVERING LATENT CONCEPTS LEARNED IN BERT}},
    year = {2022},
    booktitle = {ICLR},
    author = {Dalvi, Fahim and Khan, Abdul Rafae and Alam, Firoj and Durrani, Nadir and Xu, Jia and Sajjad, Hassan}
}

@article{Lefever2019,
    title = {{Discovering the language of wine reviews: A text mining account}},
    year = {2019},
    journal = {LREC 2018 - 11th International Conference on Language Resources and Evaluation},
    author = {Lefever, Els and Hendrickx, Iris and Croijmans, Ilja and Van Den Bosch, Antal and Majid, Asifa},
    pages = {3297--3302},
    isbn = {9791095546009},
    keywords = {Classification, Supervised learning, Terminology extraction, Wine reviews, Wine vocabulary}
}

@article{Zhang2020a,
    title = {{Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference}},
    year = {2020},
    author = {Zhang, Jian-Guo and Hashimoto, Kazuma and Liu, Wenhao and Wu, Chien-Sheng and Wan, Yao and Yu, Philip S. and Socher, Richard and Xiong, Caiming},
    pages = {1--11},
    arxivId = {arXiv:2010.13009v1}
}

@book{sydnor2019disrespectful,
    title = {{Disrespectful democracy: The psychology of political incivility}},
    year = {2019},
    author = {Sydnor, Emily},
    publisher = {Columbia University Press}
}

@article{Sanh2019a,
    title = {{DistilBERT, a distilled version of BERT: Smaller, faster, cheaper and lighter}},
    year = {2019},
    journal = {arXiv},
    author = {Sanh, Victor and Debut, Lysandre and Chaumond, Julien and Wolf, Thomas},
    pages = {2--6},
    issn = {23318422},
    arxivId = {1910.01108}
}

@inproceedings{Li2023b,
    title = {{Distilling Calibrated Knowledge for Stance Detection}},
    year = {2023},
    booktitle = {ACL},
    author = {Li, Yingjie and Caragea, Cornelia},
    pages = {6316--6329}
}

@inproceedings{Shridhar2023,
    title = {{Distilling Reasoning Capabilities into Smaller Language Models}},
    year = {2023},
    booktitle = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Shridhar, Kumar and Stolfo, Alessandro and Sachan, Mrinmaya},
    pages = {7059--7073},
    isbn = {9781959429623},
    doi = {10.18653/v1/2023.findings-acl.441},
    issn = {0736587X},
    arxivId = {2212.00193}
}

@article{Hinton2015,
    title = {{Distilling the Knowledge in a Neural Network}},
    year = {2015},
    author = {Hinton, Geoffrey and Vinyals, Oriol and Dean, Jeff},
    pages = {1--9},
    url = {http://arxiv.org/abs/1503.02531},
    arxivId = {1503.02531}
}

@article{Adams2016,
    title = {{Distributed Vector Representations for Unsupervised Automatic Short Answer Grading}},
    year = {2016},
    journal = {Proceedings of the 3rd Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA2016)},
    author = {Adams, Oliver and Roy, Shourya and Krishnapuram, Raghuram},
    pages = {20--29},
    url = {https://aclanthology.org/W16-4904}
}

@article{Harris1954,
    title = {{Distributional Structure}},
    year = {1954},
    journal = {Word},
    author = {Harris, Zellig S.},
    number = {2-3},
    pages = {146--162},
    volume = {10},
    url = {http://psycnet.apa.org/psycinfo/1956-02807-001},
    isbn = {978-90-277-1267-7},
    doi = {10.1007/978-94-009-8467-7{\_}1},
    issn = {0043-7956}
}

@article{Zhang2024a,
    title = {{Diverging Preferences: When do Annotators Disagree and do Models Know?}},
    year = {2024},
    author = {Zhang, Michael JQ and Wang, Zhilin and Hwang, Jena D. and Dong, Yi and Delalleau, Olivier and Choi, Yejin and Choi, Eunsol and Ren, Xiang and Pyatkin, Valentina},
    number = {Table 1},
    pages = {1--19},
    url = {http://arxiv.org/abs/2410.14632},
    arxivId = {2410.14632}
}

@article{Huang2023,
    title = {{Diversity-Aware Meta Visual Prompting}},
    year = {2023},
    journal = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
    author = {Huang, Qidong and Dong, Xiaoyi and Chen, Dongdong and Zhang, Weiming and Wang, Feifei and Hua, Gang and Yu, Nenghai},
    pages = {10878--10887},
    volume = {2023-June},
    isbn = {9798350301298},
    doi = {10.1109/CVPR52729.2023.01047},
    issn = {10636919},
    arxivId = {2303.08138},
    keywords = {Transfer, continual, low-shot, meta, or long-tail learning}
}

@inproceedings{Brooks2014,
    title = {{Divide and correct: Using Clusters to Grade Short Answers at Scale}},
    year = {2014},
    booktitle = {Learning@Scale},
    author = {Brooks, Michael and Basu, Sumit and Jacobs, Charles and Vanderwende, Lucy},
    pages = {89--98},
    isbn = {9781450326698},
    doi = {10.1145/2556325.2566243}
}

@article{Choi2023,
    title = {{Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark}},
    year = {2023},
    author = {Choi, Minje and Pei, Jiaxin and Kumar, Sagar and Shu, Chang and Jurgens, David},
    number = {1},
    url = {http://arxiv.org/abs/2305.14938},
    arxivId = {2305.14938}
}

@article{Wang2019h,
    title = {{Do multi-hop readers dream of reasoning chains?}},
    year = {2019},
    journal = {MRQA@EMNLP 2019 - Proceedings of the 2nd Workshop on Machine Reading for Question Answering},
    author = {Wang, Haoyu and Yu, Mo and Guo, Xiaoxiao and Das, Rajarshi and Xiong, Wenhan and Gao, Tian},
    pages = {91--97},
    isbn = {9781950737819},
    doi = {10.18653/v1/d19-5813},
    arxivId = {1910.14520}
}

@article{Wallace2019numbers,
    title = {{Do NLP Models Know Numbers? Probing Numeracy in Embeddings}},
    year = {2019},
    author = {Wallace, Eric and Wang, Yizhong and Li, Sujian and Singh, Sameer and Gardner, Matt},
    url = {http://arxiv.org/abs/1909.07940},
    arxivId = {1909.07940}
}

@article{Vaibhav2019,
    title = {{Do sentence interactions matter? Leveraging sentence level representations for fake news classification}},
    year = {2019},
    journal = {EMNLP-IJCNLP 2019 - Graph-Based Methods for Natural Language Processing - Proceedings of the 13th Workshop},
    author = {{Vaibhav} and Annasamy, Raghuram Mandyam and Hovy, Eduard},
    pages = {134--139},
    isbn = {9781950737864},
    doi = {10.18653/v1/d19-5316},
    arxivId = {1910.12203}
}

@article{Ying2021,
    title = {{Do Transformers Really Perform Bad for Graph Representation?}},
    year = {2021},
    author = {Ying, Chengxuan and Cai, Tianle and Luo, Shengjie and Zheng, Shuxin and Ke, Guolin and He, Di and Shen, Yanming and Liu, Tie-Yan},
    number = {NeurIPS},
    pages = {1--19},
    url = {http://arxiv.org/abs/2106.05234},
    arxivId = {2106.05234}
}

@article{Urrutia2022,
    title = {{Do Written Responses to Open-Ended Questions on Fourth-Grade Online Formative Assessments in Mathematics Help Predict Scores on End-of-Year Standardized Tests?}},
    year = {2022},
    journal = {Journal of Intelligence},
    author = {Urrutia, Felipe and Araya, Roberto},
    number = {4},
    volume = {10},
    doi = {10.3390/jintelligence10040082},
    issn = {20793200},
    keywords = {computational linguistics, online formative assessments, online learning, student achievement, student model}
}

@misc{Nakayama2018,
    title = {{doccano: Text Annotation Tool for Human}},
    year = {2018},
    author = {Nakayama, Hiroki and Kubo, Takahiro and Kamura, Junya and Taniguchi, Yasufumi and Liang, Xu},
    url = {https://github.com/doccano/doccano}
}

@article{Meiner2020,
    title = {{Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding}},
    year = {2020},
    journal = {ACL},
    author = {Du, Xinya and Cardie, Claire},
    pages = {23--42},
    volume = {135},
    doi = {10.1007/978-3-030-31852-9{\_}2},
    issn = {1610742X}
}

@article{Dodge2021,
    title = {{Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus}},
    year = {2021},
    journal = {EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings},
    author = {Dodge, Jesse and Sap, Maarten and Marasovi{\'{c}}, Ana and Agnew, William and Ilharco, Gabriel and Groeneveld, Dirk and Mitchell, Margaret and Gardner, Matt},
    number = {Table 1},
    pages = {1286--1305},
    isbn = {9781955917094},
    doi = {10.18653/v1/2021.emnlp-main.98},
    arxivId = {2104.08758}
}

@article{Lehman2021a,
    title = {{Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?}},
    year = {2021},
    journal = {NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference},
    author = {Lehman, Eric and Jain, Sarthak and Pichotta, Karl and Goldberg, Yoav and Wallace, Byron C.},
    pages = {946--959},
    isbn = {9781954085466},
    doi = {10.18653/v1/2021.naacl-main.73},
    arxivId = {2104.07762}
}

@article{Holterman2023,
    title = {{Does ChatGPT have Theory of Mind?}},
    year = {2023},
    author = {Holterman, Bart and van Deemter, Kees},
    url = {http://arxiv.org/abs/2305.14020},
    arxivId = {2305.14020}
}

@inproceedings{Soldaini2024,
    title = {{Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research}},
    year = {2024},
    booktitle = {ACL},
    author = {Soldaini, Luca and Kinney, Rodney and Bhagia, Akshita and Schwenk, Dustin and Atkinson, David and Authur, Russell and Bogin, Ben and Chandu, Khyathi and Dumas, Jennifer and Elazar, Yanai and Hofmann, Valentin and Jha, Ananya Harsh and Kumar, Sachin and Lucy, Li and Lyu, Xinxi and Lambert, Nathan and Magnusson, Ian and Morrison, Jacob and Muennighoff, Niklas and Naik, Aakanksha and Nam, Crystal and Peters, Matthew E and Ravichander, Abhilasha and Richardson, Kyle and Shen, Zejiang and Strubell, Emma and Subramani, Nishant and Tafjord, Oyvind and Walsh, Pete and Zettlemoyer, Luke and Smith, Noah A and Hajishirzi, Hannaneh and Beltagy, Iz and Groeneveld, Dirk and Dodge, Jesse and Lo, Kyle},
    url = {https://huggingface.co/datasets/allenai/c4 https://aclanthology.org/2024.acl-long.840.pdf},
    isbn = {9798891760943},
    issn = {0736587X},
    arxivId = {2402.00159}
}

@article{Deng2022,
    title = {{Domain Adaptation for Stance Detection towards Unseen Target on Social Media}},
    year = {2022},
    journal = {2022 10th International Conference on Affective Computing and Intelligent Interaction, ACII 2022},
    author = {Deng, Ruofan and Panl, Li and Clavel, Chloe},
    isbn = {9781665459082},
    doi = {10.1109/ACII55700.2022.9953818},
    keywords = {domain adaptation, feature disentanglement, stance detection}
}

@article{Alam2018b,
    title = {{Domain adaptation with adversarial training and graph embeddings}},
    year = {2018},
    journal = {ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers)},
    author = {Alam, Firoj and Joty, Shafiq and Imran, Muhammad},
    pages = {1077--1087},
    volume = {1},
    isbn = {9781948087322},
    doi = {10.18653/v1/p18-1099},
    arxivId = {1805.05151}
}

@article{Cao2020a,
    title = {{Domain-Adaptive Neural Automated Essay Scoring}},
    year = {2020},
    journal = {SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval},
    author = {Cao, Yue and Jin, Hanqi and Wan, Xiaojun and Yu, Zhiwei},
    pages = {1011--1020},
    isbn = {9781450380164},
    doi = {10.1145/3397271.3401037},
    keywords = {automated essay scoring, domain adaptation, natural language processing, self-supervised learning}
}

@inproceedings{Parmar2023,
    title = {{Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions}},
    year = {2023},
    booktitle = {EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Parmar, Mihir and Mishra, Swaroop and Geva, Mor and Baral, Chitta},
    pages = {1771--1781},
    isbn = {9781959429449},
    arxivId = {2205.00415}
}

@inproceedings{Fel2023,
    title = {{Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis}},
    year = {2023},
    booktitle = {CVPR},
    author = {Fel, Thomas and Ducoffe, Melanie and Vigouroux, David and Cadene, Remi and Capelle, Mikael and Nicodeme, Claire and Serre, Thomas},
    url = {http://arxiv.org/abs/2202.07728},
    arxivId = {2202.07728}
}

@article{Ruiz2022,
    title = {{DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation}},
    year = {2022},
    author = {Ruiz, Nataniel and Li, Yuanzhen and Jampani, Varun and Pritch, Yael and Rubinstein, Michael and Aberman, Kfir},
    pages = {1--21},
    url = {http://arxiv.org/abs/2208.12242},
    arxivId = {2208.12242}
}

@article{Minixhofer2021,
    title = {{DroughtED : A dataset and methodology for drought forecasting spanning multiple climate zones}},
    year = {2021},
    author = {Minixhofer, Christoph and Swan, Mark and Mcmeekin, Calum and Andreadis, Pavlos},
    url = {https://kaggle.com/cdminix/}
}

@article{Valipour2023,
    title = {{DyLoRA: Parameter-Efficient Tuning of Pretrained Models using Dynamic Search-Free Low Rank Adaptation}},
    year = {2023},
    journal = {EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Valipour, Mojtaba and Rezagholizadeh, Mehdi and Kobyzev, Ivan and Ghodsi, Ali},
    pages = {3266--3279},
    isbn = {9781959429449},
    arxivId = {2210.07558}
}

@inproceedings{Srikanth2021,
    title = {{Dynamic Social Media Monitoring for Fast-Evolving Online Discussions}},
    year = {2021},
    booktitle = {Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
    author = {Srikanth, Maya and Liu, Anqi and Adams-Cohen, Nicholas and Cao, Jian and Alvarez, R. Michael and Anandkumar, Anima},
    number = {1},
    pages = {3576--3584},
    volume = {1},
    publisher = {Association for Computing Machinery},
    isbn = {9781450383325},
    doi = {10.1145/3447548.3467171},
    arxivId = {2102.12596},
    keywords = {social media monitoring, user interfaces, word embeddings}
}

@inproceedings{Calvo2023,
    title = {{Dynamic Stance : Modeling Discussions by Labeling the Interactions}},
    year = {2023},
    booktitle = {EMNLP},
    author = {Calvo, Blanca and Irene, Figueras and Tommaso, Baucells},
    pages = {6503--6515}
}

@article{Brown2022,
    title = {{Dynamic World, Near real-time global 10 m land use land cover mapping}},
    year = {2022},
    journal = {Scientific Data},
    author = {Brown, Christopher F. and Brumby, Steven P. and Guzder-Williams, Brookie and Birch, Tanya and Hyde, Samantha Brooks and Mazzariello, Joseph and Czerwinski, Wanda and Pasquarella, Valerie J. and Haertel, Robert and Ilyushchenko, Simon and Schwehr, Kurt and Weisse, Mikaela and Stolle, Fred and Hanson, Craig and Guinan, Oliver and Moore, Rebecca and Tait, Alexander M.},
    number = {1},
    pages = {1--17},
    volume = {9},
    publisher = {Springer US},
    isbn = {4159702201},
    doi = {10.1038/s41597-022-01307-4},
    issn = {20524463}
}

@inproceedings{Wang2021b,
    title = {{Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack}},
    year = {2021},
    booktitle = {Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
    author = {Wang, Liwen and Yan, Yuanmeng and He, Keqing and Wu, Yanan and Xu, Weiran},
    pages = {3740--3750}
}

@article{Peltzer2016,
    title = {{EAGER: efficient ancient genome reconstruction}},
    year = {2016},
    journal = {Genome biology},
    author = {Peltzer, Alexander and J{\"{a}}ger, Günter and Herbig, Alexander and Seitz, Alexander and Kniep, Christian and Krause, Johannes and Nieselt, Kay},
    pages = {60},
    volume = {17},
    publisher = {Genome Biology},
    url = {http://dx.doi.org/10.1186/s13059-016-0918-z},
    doi = {10.1186/s13059-016-0918-z},
    issn = {1474760X},
    pmid = {27036623},
    keywords = {Authentication, Bioinformatics, Genome reconstruction, aDNA, aDNA analysis}
}

@article{Russwurm2019b,
    title = {{Early Classification for Agricultural Monitoring from Satellite Time Series}},
    year = {2019},
    journal = {ICML AI4socialgood workshop},
    author = {Ru{\ss}wurm, Marc and Tavenard, Romain and Lef{\`{e}}vre, Sébastien and K{\"{o}}rner, Marco},
    url = {http://arxiv.org/abs/1908.10283},
    arxivId = {1908.10283}
}

@article{Weilandt2023,
    title = {{Early Crop Classification via Multi-Modal Satellite Data Fusion and Temporal Attention}},
    year = {2023},
    journal = {MDPI Remote Sensing},
    author = {Weilandt, Frank and Behling, Robert and Goncalves, Romulo and Madadi, Arash and Richter, Lorenz and Sanona, Tiago and Spengler, Daniel and Welsch, Jona},
    pages = {1--25},
    keywords = {a, behling, citation, data fusion, deep neural networks, early crop-type classification, f, goncalves, l, madadi, modal remote sensing data, multi-, r, richter, satellite image time series, sentinel-1, sentinel-2, temporal attention encoder, weilandt}
}

@inproceedings{Kondmann2022,
    title = {{Early Crop Type Classification With Satellite Imagery - An Empirical Analysis}},
    year = {2022},
    booktitle = {ICLR Practical ML for Developing Countries Workshop},
    author = {Kondmann, Lukas and Boeck, Sebastian and Bonifacio, Rogerio and Zhu, Xiao Xiang},
    number = {January}
}

@article{Marszalek2022a,
    title = {{Early crop-type mapping under climate anomalies}},
    year = {2020},
    author = {Marszalek, Michael and L{\"{o}}sch, Maximilian and K{\"{o}}rner, Marco and Schmidhalter, Urs},
    number = {January},
    pages = {1--20},
    doi = {10.20944/preprints202004.0316.v2},
    keywords = {early crop-type mapping, precision farming, random forest, sentinel-2, svm}
}

@article{marszalek2022early,
    title = {{Early Crop-Type Mapping Under Climate Anomalies}},
    year = {2022},
    author = {Marszalek, M and L{\"{o}}sch, M and K{\"{o}}rner, M and Schmidhalter, U}
}

@article{Lin2022,
    title = {{Early- and in-season crop type mapping without current-year ground truth: Generating labels from historical information via a topology-based approach}},
    year = {2022},
    journal = {Remote Sensing of Environment},
    author = {Lin, Chenxi and Zhong, Liheng and Song, Xiao Peng and Dong, Jinwei and Lobell, David B. and Jin, Zhenong},
    volume = {274},
    doi = {10.1016/j.rse.2022.112994},
    issn = {00344257},
    arxivId = {2110.10275},
    keywords = {Agriculture, Classification, Crop, Early-season mapping, Landsat, Machine learning, Remote sensing, Sentinel-2, Transfer learning}
}

@article{HAO2020a,
    title = {{Early-season crop type mapping using 30-m reference time series}},
    year = {2020},
    journal = {Journal of Integrative Agriculture},
    author = {HAO, Peng yu and TANG, Hua jun and CHEN, Zhong xin and MENG, Qing yan and KANG, Yu peng},
    number = {7},
    pages = {1897--1911},
    volume = {19},
    publisher = {CAAS. Publishing services by Elsevier B.V},
    url = {http://dx.doi.org/10.1016/S2095-3119(19)62812-1},
    doi = {10.1016/S2095-3119(19)62812-1},
    issn = {20953119},
    keywords = {Hengshui, Landsat, Sentinel-2, crop classification, early season, reference time series}
}

@article{Requena-Mesa2020,
    title = {{EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts}},
    year = {2020},
    author = {Requena-Mesa, Christian and Benson, Vitus and Denzler, Joachim and Runge, Jakob and Reichstein, Markus},
    pages = {1--7},
    url = {http://arxiv.org/abs/2012.06246},
    arxivId = {2012.06246}
}

@article{Smith2023,
    title = {{EarthPT: a time series foundation model for Earth Observation}},
    year = {2023},
    author = {Smith, Michael J and Fleming, Luke and Geach, James E},
    url = {http://arxiv.org/abs/2309.07207},
    arxivId = {2309.07207}
}

@article{Wei2020,
    title = {{EDA: Easy data augmentation techniques for boosting performance on text classification tasks}},
    year = {2020},
    journal = {EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference},
    author = {Wei, Jason and Zou, Kai},
    pages = {6382--6388},
    isbn = {9781950737901},
    doi = {10.18653/v1/d19-1670},
    arxivId = {1901.11196}
}

@article{Gupta2023,
    title = {{Editing Commonsense Knowledge in GPT}},
    year = {2023},
    author = {Gupta, Anshita and Mondal, Debanjan and Sheshadri, Akshay Krishna and Zhao, Wenlong and Li, Xiang Lorraine and Wiegreffe, Sarah and Tandon, Niket},
    url = {http://arxiv.org/abs/2305.14956},
    arxivId = {2305.14956}
}

@inproceedings{Hare2020,
    title = {{Effective Few-Shot Classification with Transfer Learning}},
    year = {2020},
    booktitle = {COLING},
    author = {Gupta, Aakriti and Thadani, Kapil and Hare, Neil O},
    pages = {1061--1066}
}

@article{jimenez1995effects,
    title = {{Effects of word linguistic properties on phonological awareness in Spanish children.}},
    year = {1995},
    journal = {Journal of Educational Psychology},
    author = {Jim{\'{e}}nez Gonz{\'{a}}lez, Juan E and Garcia, Carmen R Haro},
    number = {2},
    pages = {193},
    volume = {87},
    publisher = {American Psychological Association}
}

@inproceedings{Kiela2018,
    title = {{Efficient Large-Scale Multi-Modal Classification}},
    year = {2018},
    booktitle = {AAAI Conference on Artificial Intelligence (AAAI-18)},
    author = {Kiela, Douwe and Grave, Edouard and Joulin, Armand and Mikolov, Tomas}
}

@inproceedings{Raaj2019,
    title = {{Efficient online multi-person 2D pose tracking with recurrent spatio-temporal affinity fields}},
    year = {2019},
    booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
    author = {Raaj, Yaadhav and Idrees, Haroon and Hidalgo, Gines and Sheikh, Yaser},
    pages = {4615--4623},
    volume = {2019-June},
    isbn = {9781728132938},
    doi = {10.1109/CVPR.2019.00475},
    issn = {10636919},
    arxivId = {1811.11975},
    keywords = {Action Recognition, And Body Pose, Face, Gesture, Motion and Tracking, Video Analytics}
}

@article{Li2021f,
    title = {{Efficient Self-supervised Vision Transformers for Representation Learning}},
    year = {2021},
    author = {Li, Chunyuan and Yang, Jianwei and Zhang, Pengchuan and Gao, Mei and Xiao, Bin and Dai, Xiyang and Yuan, Lu and Gao, Jianfeng},
    pages = {1--24},
    url = {http://arxiv.org/abs/2106.09785},
    arxivId = {2106.09785}
}

@article{Tay2020,
    title = {{Efficient Transformers: A Survey}},
    year = {2020},
    author = {Tay, Yi and Dehghani, Mostafa and Bahri, Dara and Metzler, Donald},
    number = {August 2020},
    pages = {1--28},
    url = {http://arxiv.org/abs/2009.06732},
    arxivId = {2009.06732},
    keywords = {atten-, deep learning, natural language processing, transformer models}
}

@inproceedings{Tan2019a,
    title = {{EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing}},
    year = {2019},
    booktitle = {Proceedings of the 36th International Conference on Machine Learning (ICML)},
    author = {Mingxing Tan, Quoc V. Le},
    issn = {14818035},
    pmid = {23663470}
}

@article{Tan2021,
    title = {{EfficientNetV2: Smaller Models and Faster Training}},
    year = {2021},
    author = {Tan, Mingxing and Le, Quoc V.},
    pages = {1--12},
    volume = {1},
    url = {http://arxiv.org/abs/2104.00298},
    arxivId = {2104.00298}
}

@article{Cassell2001,
    title = {{Embodied conversational agents: Representation and intelligence in user interfaces}},
    year = {2001},
    journal = {AI Magazine},
    author = {Cassell, Justine},
    number = {4},
    pages = {67--83},
    volume = {22},
    issn = {07384602}
}

@article{Krishnaswamy2021,
    title = {{Embodied Multimodal Agents to Bridge the Understanding Gap}},
    year = {2021},
    journal = {Bridging Human-Computer Interaction and Natural Language Processing, HCINLP 2021 - Proceedings of the 1st Workshop},
    author = {Krishnaswamy, Nikhil and Alalyani, Nada},
    pages = {41--46},
    isbn = {9781954085176}
}

@article{Reuter2016,
    title = {{Emergency services' attitudes towards social media: A quantitative and qualitative survey across Europe}},
    year = {2016},
    journal = {International Journal of Human Computer Studies},
    author = {Reuter, Christian and Ludwig, Thomas and Kaufhold, Marc André and Spielhofer, Thomas},
    pages = {96--111},
    volume = {95},
    doi = {10.1016/j.ijhcs.2016.03.005},
    issn = {10959300},
    keywords = {Attitudes, Emergency services, Europe, Qualitative, Quantitative, Social media, Survey}
}

@article{Wei2022a,
    title = {{Emergent Abilities of Large Language Models}},
    year = {2022},
    journal = {Transactions on Machine Learning Research},
    author = {Wei, Jason and Tay, Yi and Bommasani, Rishi and Raffel, Colin and Zoph, Barret and Borgeaud, Sebastian and Yogatama, Dani and Bosma, Maarten and Zhou, Denny and Metzler, Donald and Chi, Ed H. and Hashimoto, Tatsunori and Vinyals, Oriol and Liang, Percy and Dean, Jeff and Fedus, William},
    pages = {1--30},
    url = {http://arxiv.org/abs/2206.07682},
    arxivId = {2206.07682}
}

@article{Wu2019a,
    title = {{Emerging cross-lingual structure in pretrained language models}},
    year = {2019},
    journal = {arXiv},
    author = {Wu, Shijie and Conneau, Alexis and Li, Haoran and Zettlemoyer, Luke and Stoyanov, Veselin},
    pages = {6022--6034},
    doi = {10.18653/v1/2020.acl-main.536},
    arxivId = {1911.01464}
}

@article{Caron2021,
    title = {{Emerging Properties in Self-Supervised Vision Transformers}},
    year = {2021},
    author = {Caron, Mathilde and Touvron, Hugo and Misra, Ishan and J{\'{e}}gou, Hervé and Mairal, Julien and Bojanowski, Piotr and Joulin, Armand},
    pages = {9650--9660},
    url = {http://arxiv.org/abs/2104.14294},
    doi = {10.1109/iccv48922.2021.00951},
    arxivId = {2104.14294}
}

@article{Bali2022,
    title = {{Emerging Trends in Machine Learning to Predict Crop Yield and Study Its Influential Factors: A Survey}},
    year = {2022},
    journal = {Archives of Computational Methods in Engineering},
    author = {Bali, Nishu and Singla, Anshu},
    number = {1},
    pages = {95--112},
    volume = {29},
    publisher = {Springer Netherlands},
    url = {https://doi.org/10.1007/s11831-021-09569-8},
    isbn = {0123456789},
    doi = {10.1007/s11831-021-09569-8},
    issn = {18861784}
}

@article{Uppal2020,
    title = {{Emerging Trends of Multimodal Research in Vision and Language}},
    year = {2020},
    author = {Uppal, Shagun and Bhagat, Sarthak and Hazarika, Devamanyu and Majumdar, Navonil and Poria, Soujanya and Zimmermann, Roger and Zadeh, Amir},
    pages = {1--31},
    url = {http://arxiv.org/abs/2010.09522},
    arxivId = {2010.09522}
}

@article{Kim2021,
    title = {{EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa}},
    year = {2021},
    author = {Kim, Taewoon and Vossen, Piek},
    url = {http://arxiv.org/abs/2108.12009},
    arxivId = {2108.12009}
}

@inproceedings{Nojavanasghar2016,
    title = {{EmoReact: A Multimodal Approach and Dataset for Recognizing Emotional Responses in Children}},
    year = {2016},
    booktitle = {ICMI 2016 - Proceedings of the 2016 ACM International Conference on Multimodal Interaction},
    author = {Nojavanasghar, Behnaz and Baltru{\v{s}}aitis, Tadas and Hughes, Charles E. and Morency, Louis-Philippe}
}

@article{Yang2023a,
    title = {{EmoSet: A Large-scale Visual Emotion Dataset with Rich Attributes}},
    year = {2023},
    author = {Yang, Jingyuan and Huang, Qirui and Ding, Tingting and Lischinski, Dani and Cohen-Or, Daniel and Huang, Hui},
    url = {http://arxiv.org/abs/2307.07961},
    arxivId = {2307.07961}
}

@article{GajarlaVasaviGupta2015,
    title = {{Emotion Detection and Sentiment Analysis of Images}},
    year = {2015},
    journal = {Georgia Institute of Technology},
    author = {Gajarla, Vasavi {\&} Gupta, Aditi},
    pages = {1--7}
}

@article{ezzameli2023emotion,
    title = {{Emotion recognition from unimodal to multimodal analysis: A review}},
    year = {2023},
    journal = {Information Fusion},
    author = {Ezzameli, K and Mahersia, H},
    pages = {101847},
    publisher = {Elsevier}
}

@article{Poria2019,
    title = {{Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances}},
    year = {2019},
    author = {Poria, Soujanya and Majumder, Navonil and Mihalcea, Rada and Hovy, Eduard},
    pages = {1--10},
    url = {http://arxiv.org/abs/1905.02947},
    arxivId = {1905.02947}
}

@article{Hazarika2019,
    title = {{Emotion Recognition in Conversations with Transfer Learning from Generative Conversation Modeling}},
    year = {2019},
    author = {Hazarika, Devamanyu and Poria, Soujanya and Zimmermann, Roger and Mihalcea, Rada},
    url = {http://arxiv.org/abs/1910.04980},
    arxivId = {1910.04980},
    keywords = {and organization of the, contributions, corresponding author, emotion recognition in conversations, generative conversation modeling, generative pre-training, ideation, in emotion, recognition in conversation from, transfer learning, use of transfer learning}
}

@article{Emnlp2020b,
    title = {{Emotion-Cause Pair Extraction as Sequence Labeling Based on A Novel Tagging Scheme}},
    year = {2020},
    author = {Emnlp, Anonymous},
    pages = {1--6}
}

@article{Mikels2005,
    title = {{Emotional category data on images from the international affective picture system}},
    year = {2005},
    journal = {Behavior Research Methods},
    author = {Mikels, Joseph A. and Fredrickson, Barbara L. and Larkin, Gregory R. and Lindberg, Casey M. and Maglio, Sam J. and Reuter-Lorenz, Patricia A.},
    number = {4},
    pages = {626--630},
    volume = {37},
    doi = {10.3758/BF03192732},
    issn = {1554351X},
    pmid = {16629294}
}

@article{Fung2014,
    title = {{Empathetic Dialog Systems}},
    year = {2018},
    journal = {The International Conference on Language Resources and Evaluation. European Language Resources Association},
    author = {Fung, Pascale and Bertero, Dario and Xu, Peng and Park, Ji Ho and Wu, Chien-sheng and Madotto, Andrea},
    keywords = {emotion embedding, empathetic machines, end-to-end dialog systems, representation learning}
}

@article{Omitaomu2022,
    title = {{Empathic Conversations: A Multi-level Dataset of Contextualized Conversations}},
    year = {2022},
    author = {Omitaomu, Damilola and Tafreshi, Shabnam and Liu, Tingting and Buechel, Sven and Callison-Burch, Chris and Eichstaedt, Johannes and Ungar, Lyle and Sedoc, João},
    url = {http://arxiv.org/abs/2205.12698},
    arxivId = {2205.12698}
}

@article{Guilera2019,
    title = {{Empathy and big five personality model in medical students and its relationship to gender and specialty preference: A cross-sectional study}},
    year = {2019},
    journal = {BMC Medical Education},
    author = {Guilera, Teresa and Batalla, Iolanda and Forn{\'{e}}, Carles and Soler-Gonz{\'{a}}lez, Jorge},
    number = {1},
    pages = {1--8},
    volume = {19},
    publisher = {BMC Medical Education},
    doi = {10.1186/s12909-019-1485-2},
    issn = {14726920},
    pmid = {30764878},
    keywords = {Big five model, Empathy, Medical education, Personality, Undergraduate}
}

@article{Dumitrache2018,
    title = {{Empirical methodology for crowdsourcing ground truth}},
    year = {2018},
    journal = {arXiv},
    author = {Dumitrache, Anca and Inel, Oana and Timmermans, Benjamin and Ortiz, Carlos and Sips, Robert Jan and Aroyo, Lora and Welty, Chris},
    pages = {1--5},
    volume = {1},
    doi = {10.3233/sw-200415},
    issn = {23318422},
    arxivId = {1809.08888},
    keywords = {Annotator disagreement, CrowdTruth, Event extraction, Ground truth gathering, Medical, Relation extraction, Semantic interpretation}
}

@article{Liang2023d,
    title = {{Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate}},
    year = {2023},
    author = {Liang, Tian and He, Zhiwei and Jiao, Wenxiang and Wang, Xing and Wang, Yan and Wang, Rui and Yang, Yujiu and Tu, Zhaopeng and Shi, Shuming},
    url = {http://arxiv.org/abs/2305.19118},
    arxivId = {2305.19118}
}

@article{Bahdanau2016,
    title = {{End-to-end attention-based large vocabulary speech recognition}},
    year = {2016},
    journal = {ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings},
    author = {Bahdanau, Dzmitry and Chorowski, Jan and Serdyuk, Dmitriy and Brakel, Philemon and Bengio, Yoshua},
    pages = {4945--4949},
    volume = {2016-May},
    isbn = {9781479999880},
    doi = {10.1109/ICASSP.2016.7472618},
    issn = {15206149},
    arxivId = {1508.04395},
    keywords = {ASR, LVCSR, attention, neural networks, speech recognition}
}

@inproceedings{Mahabadi2020,
    title = {{End-to-end bias mitigation by modelling biases in corpora}},
    year = {2020},
    booktitle = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Mahabadi, Rabeeh Karimi and Belinkov, Yonatan and Henderson, James},
    pages = {8706--8716},
    isbn = {9781952148255},
    doi = {10.18653/v1/2020.acl-main.769},
    issn = {0736587X},
    arxivId = {1909.06321}
}

@article{Russwurm2023,
    title = {{End-to-end learned early classification of time series for in-season crop type mapping}},
    year = {2023},
    journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
    author = {Ru{\ss}wurm, Marc and Courty, Nicolas and Emonet, Rémi and Lef{\`{e}}vre, Sébastien and Tuia, Devis and Tavenard, Romain},
    number = {October 2022},
    pages = {445--456},
    volume = {196},
    url = {https://doi.org/10.1016/j.isprsjprs.2022.12.016},
    doi = {10.1016/j.isprsjprs.2022.12.016},
    issn = {0924-2716},
    keywords = {Crop type mapping, Deep learning, Early classification, In-season crop type mapping, Satellite time series}
}

@article{Russwurm2023b,
    title = {{End-to-end learned early classification of time series for in-season crop type mapping}},
    year = {2023},
    journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
    author = {Ru{\ss}wurm, Marc and Courty, Nicolas and Emonet, Rémi and Lef{\`{e}}vre, Sébastien and Tuia, Devis and Tavenard, Romain},
    number = {October 2022},
    pages = {445--456},
    volume = {196},
    url = {https://doi.org/10.1016/j.isprsjprs.2022.12.016},
    doi = {10.1016/j.isprsjprs.2022.12.016},
    issn = {0924-2716},
    keywords = {Crop type mapping, Deep learning, Early classification, In-season crop type mapping, Satellite time series}
}

@article{Russwurm2019a,
    title = {{End-to-end Learning for Early Classification of Time Series}},
    year = {2019},
    journal = {Arxiv},
    author = {Ru{\ss}wurm, Marc and Lef{\`{e}}vre, Sébastien and Courty, Nicolas and Emonet, Rémi and K{\"{o}}rner, Marco and Tavenard, Romain},
    url = {http://arxiv.org/abs/1901.10681},
    arxivId = {1901.10681}
}

@article{Carion2020,
    title = {{End-to-End Object Detection with Transformers}},
    year = {2020},
    journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    author = {Carion, Nicolas and Massa, Francisco and Synnaeve, Gabriel and Usunier, Nicolas and Kirillov, Alexander and Zagoruyko, Sergey},
    pages = {213--229},
    volume = {12346 LNCS},
    isbn = {9783030584511},
    doi = {10.1007/978-3-030-58452-8{\_}13},
    issn = {16113349},
    arxivId = {2005.12872}
}

@article{Naacl-hlt2021,
    title = {{End-to-end Sentiment Analysis for Business Intelligence using Deep Learning}},
    year = {2021},
    author = {Naacl-hlt, Anonymous}
}

@inproceedings{Yang2020b,
    title = {{Enhancing automated essay scoring performance via fine-tuning pre-trained language models with combination of regression and ranking}},
    year = {2020},
    booktitle = {Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020},
    author = {Yang, Ruosong and Cao, Jiannong and Wen, Zhiyuan and Wu, Youzheng and He, Xiaodong},
    pages = {1560--1569},
    isbn = {9781952148903},
    doi = {10.18653/v1/2020.findings-emnlp.141}
}

@article{Acl-ijcnlp2021a,
    title = {{Enhancing the generalization for Intent Classification and Out-of-Domain Detection in SLU}},
    year = {2021},
    author = {Acl-ijcnlp, Anonymous},
    pages = {1--10}
}

@article{Wadden2020,
    title = {{Entity, relation, and event extraction with contextualized span representations}},
    year = {2020},
    journal = {EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference},
    author = {Wadden, David and Wennberg, Ulme and Luan, Yi and Hajishirzi, Hannaneh},
    pages = {5784--5789},
    isbn = {9781950737901},
    doi = {10.18653/v1/d19-1585},
    arxivId = {1909.03546}
}

@article{Souza2013,
    title = {{Entity-centric Sentiment Analysis on Twitter data for the Potuguese Language}},
    year = {2013},
    journal = {Citeseer},
    author = {Souza, Marlo and Vieira, Renata},
    pages = {173--177},
    url = {http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:Entity-centric+Sentiment+Analysis+on+Twitter+data+for+the+Potuguese+Language#0}
}

@article{Yu2020,
    title = {{ERNIE-ViL: Knowledge enhanced vision-language representations through scene graph}},
    year = {2020},
    journal = {arXiv},
    author = {Yu, Fei and Tang, Jiji and Yin, Weichong and Sun, Yu and Tian, Hao and Wu, Hua and Wang, Haifeng},
    pages = {1--11},
    arxivId = {2006.16934}
}

@article{Zhang2019a,
    title = {{ERNIE: Enhanced Language Representation with Informative Entities}},
    year = {2019},
    author = {Zhang, Zhengyan and Han, Xu and Liu, Zhiyuan and Jiang, Xin and Sun, Maosong and Liu, Qun},
    url = {http://arxiv.org/abs/1905.07129},
    arxivId = {1905.07129}
}

@article{Wu2020a,
    title = {{Errudite: Scalable, reproducible, and testable error analysis}},
    year = {2020},
    journal = {ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Wu, Tongshuang and Ribeiro, Marco Tulio and Heer, Jeffrey and Weld, Daniel S.},
    pages = {747--763},
    isbn = {9781950737482},
    doi = {10.18653/v1/p19-1073}
}

@article{zanaga2022esa,
    title = {{ESA WorldCover 10 m 2021 v200}},
    year = {2022},
    author = {Zanaga, Daniele and Van De Kerchove, Ruben and Daems, Dirk and De Keersmaecker, Wanda and Brockmann, Carsten and Kirches, Grit and Wevers, Jan and Cartus, Oliver and Santoro, Maurizio and Fritz, Steffen and {others}},
    publisher = {Zenodo}
}

@article{Zhang2021,
    title = {{Essay Quality Signals as Weak Supervision for Source-based Essay Scoring}},
    year = {2021},
    journal = {Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2021 - held in conjunction with the 16th Conference of the European Chapter of the Association of Computational Linguistics, EACL 2021},
    author = {Zhang, Haoran and Litman, Diane},
    pages = {85--96},
    isbn = {9781954085114}
}

@article{Tanvir2020,
    title = {{EstBERT: A pretrained language-specific BERT for Estonian}},
    year = {2020},
    journal = {arXiv},
    author = {Tanvir, Hasan and Kittask, Claudia and Sirts, Kairit},
    issn = {23318422},
    arxivId = {2011.04784}
}

@inproceedings{kuwata2015estimating,
    title = {{Estimating crop yields with deep learning and remotely sensed data}},
    year = {2015},
    booktitle = {2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
    author = {Kuwata, Kentaro and Shibasaki, Ryosuke},
    pages = {858--861},
    organization = {IEEE}
}

@article{Mollas2020,
    title = {{ETHOS: an Online Hate Speech Detection Dataset}},
    year = {2020},
    journal = {arXiv},
    author = {Mollas, Ioannis and Chrysopoulou, Zoe and Karlos, Stamatis and Tsoumakas, Grigorios},
    issn = {23318422},
    arxivId = {2006.08328},
    keywords = {Crowdsourcing, Dataset Manipulation, Hate Speech Detection, Multi-Label Classification}
}

@article{Schneider2021,
    title = {{EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification}},
    year = {2021},
    author = {Schneider, Maja and Broszeit, Amelie and K{\"{o}}rner, Marco},
    url = {http://arxiv.org/abs/2106.08151%0Ahttp://dx.doi.org/10.2760/125905},
    doi = {10.2760/125905},
    arxivId = {2106.08151}
}

@article{Iranzo-s2020,
    title = {{EUROPARL-ST : A MULTILINGUAL CORPUS FOR SPEECH TRANSLATION OF PARLIAMENTARY DEBATES a , Javier Jorge , Nahuel Rosell ´ Adri ` a Gim ´ enez , Albert Sanchis , Jorge Civera , Alfons Juan Machine Learning and Language Processing ( MLLP ) research group Valen}},
    year = {2020},
    author = {Iranzo-s, Javier and Silvestre-cerd, Joan Albert},
    pages = {8224--8228},
    isbn = {9781509066315}
}

@article{Ghassemi2024,
    title = {{European Union crop map 2022: Earth observation's 10-meter dive into Europe's crop tapestry}},
    year = {2024},
    journal = {Scientific data},
    author = {Ghassemi, Babak and Izquierdo-Verdiguier, Emma and Verhegghen, Astrid and Yordanov, Momchil and Lemoine, Guido and Moreno Mart{\'{i}}nez, Álvaro and De Marchi, Davide and van der Velde, Marijn and Vuolo, Francesco and d'Andrimont, Raphaël},
    number = {1},
    pages = {1048},
    volume = {11},
    doi = {10.1038/s41597-024-03884-y},
    issn = {20524463},
    pmid = {39333522}
}

@article{Goodman2017,
    title = {{European union regulations on algorithmic decision making and a "right to explanation"}},
    year = {2017},
    journal = {AI Magazine},
    author = {Goodman, Bryce and Flaxman, Seth},
    number = {3},
    pages = {50--57},
    volume = {38},
    doi = {10.1609/aimag.v38i3.2741},
    issn = {07384602},
    arxivId = {1606.08813}
}

@article{Rach2018a,
    title = {{EVA: A multimodal argumentative dialogue system}},
    year = {2018},
    journal = {ICMI 2018 - Proceedings of the 2018 International Conference on Multimodal Interaction},
    author = {Rach, Niklas and Andr{\'{e}}, Elisabeth and Weber, Klaus and Minker, Wolfgang and Pragst, Louisa and Ultes, Stefan},
    number = {October},
    pages = {551--552},
    isbn = {9781450356923},
    doi = {10.1145/3242969.3266292},
    arxivId = {arXiv:1709.03167},
    keywords = {Computational Argumentation, Multimodal Dialogue Systems, Synthesis of Arguments}
}

@article{Basile2016,
    title = {{Evalita 2016 Sentipolc Task - Task Guidelines}},
    year = {2016},
    author = {Basile, Valerio and Barbieri, Francesco and Croce, Danilo and Nissim, Malvina and Novielli, Nicole and Patti, Viviana},
    pages = {1--12}
}

@article{Basile2016a,
    title = {{Evalita 2016 Sentipolc Task - Task Guidelines}},
    year = {2016},
    author = {Basile, Valerio and Barbieri, Francesco and Croce, Danilo and Nissim, Malvina and Novielli, Nicole and Patti, Viviana},
    pages = {1--12}
}

@article{Sakai2021,
    title = {{Evaluating evaluation measures for ordinal classification and ordinal quantification}},
    year = {2021},
    journal = {ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference},
    author = {Sakai, Tetsuya},
    pages = {2759--2769},
    isbn = {9781954085527},
    doi = {10.5715/jnlp.28.1319},
    issn = {1340-7619}
}

@article{johnson2023evaluating,
    title = {{Evaluating Fairness of Automated Scoring in Educational Measurement}},
    year = {2023},
    journal = {Advancing Natural Language Processing in Educational Assessment},
    author = {Johnson, Matthew S and McCaffrey, Daniel F},
    pages = {142},
    publisher = {Routledge}
}

@article{Liu2024,
    title = {{Evaluating Large Language Model Biases in Persona-Steered Generation}},
    year = {2024},
    author = {Liu, Andy and Diab, Mona and Fried, Daniel},
    url = {http://arxiv.org/abs/2405.20253},
    arxivId = {2405.20253}
}

@article{Guo2023,
    title = {{Evaluating Large Language Models: A Comprehensive Survey}},
    year = {2023},
    author = {Guo, Zishan and Jin, Renren and Liu, Chuang and Huang, Yufei and Shi, Dan and {Supryadi} and Yu, Linhao and Liu, Yan and Li, Jiaxuan and Xiong, Bojian and Xiong, Deyi},
    pages = {1--111},
    url = {http://arxiv.org/abs/2310.19736},
    arxivId = {2310.19736}
}

@article{Yalcin2019,
    title = {{Evaluating Levels of Emotional Contagion with an Embodied Conversational Agent}},
    year = {2019},
    author = {Yalcin, Ӧ Nilay},
    pages = {3143--3149},
    url = {https://www.semanticscholar.org/paper/Evaluating-Levels-of-Emotional-Contagion-with-an-Yalçın-DiPaola/3fca5fcc261359ef237c4030a6024806eca9832c}
}

@article{Gardner2019,
    title = {{Evaluating Models ’ Local Decision Boundaries via Contrast Sets}},
    year = {2019},
    author = {Gardner, Matt and Artzi, Yoav and Basmova, Γ Victoria and Berant, Jonathan and Bogin, Ben and Chen, Sihao and Dasigi, Pradeep and Dua, Dheeru and Elazar, Yanai and Khashabi, Daniel and Lin, Kevin and Liu, Nelson F and Smith, Noah A and Subramanian, Sanjay and Tsarfaty, Reut and Wallace, Eric and Zhang, Ally and Zhou, Γ Ben},
    arxivId = {arXiv:2004.02709v2}
}

@article{Kittask2020,
    title = {{Evaluating multilingual BERT for estonian}},
    year = {2020},
    journal = {Frontiers in Artificial Intelligence and Applications},
    author = {Kittask, Claudia and Milintsevich, Kirill and Sirts, Kairit},
    pages = {19--26},
    volume = {328},
    isbn = {9781643681160},
    doi = {10.3233/faia200597},
    issn = {09226389},
    arxivId = {2010.00454},
    keywords = {Estonian, Multilingual BERT, NER, POS tagging, Text classification}
}

@article{Koto2021,
    title = {{Evaluating the Efficacy of Summarization Evaluation across Languages}},
    year = {2021},
    journal = {Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021},
    author = {Koto, Fajri and Lau, Jey Han and Baldwin, Timothy},
    pages = {801--812},
    isbn = {9781954085541},
    doi = {10.18653/v1/2021.findings-acl.71},
    arxivId = {2106.01478}
}

@inproceedings{Basta2019,
    title = {{Evaluating the Underlying Gender Bias in Contextualized Word Embeddings}},
    year = {2019},
    booktitle = {Proceedings of the 1st Workshop on Gender Bias in Natural Language Processing, ACL},
    author = {Basta, Christine and Costa-juss{\`{a}}, Marta R. and Casas, Noe},
    pages = {33--39},
    doi = {10.18653/v1/w19-3805},
    arxivId = {1904.08783}
}

@article{Basta2019bias,
    title = {{Evaluating the Underlying Gender Bias in Contextualized Word Embeddings}},
    year = {2019},
    journal = {Proceedings ofthe 1st Workshop on Gender Bias in Natural Language Processing, ACL},
    author = {Basta, Christine and Costa-juss{\`{a}}, Marta R. and Casas, Noe},
    doi = {10.1007/s00521-020-05211-z},
    issn = {14333058},
    keywords = {Contextualized embeddings, Gender bias, Natural Language processing}
}

@article{Saif2013,
    title = {{Evaluation datasets for Twitter sentiment analysis a survey and a new dataset, the STS-Gold}},
    year = {2013},
    journal = {CEUR Workshop Proceedings},
    author = {Saif, Hassan and Fernandez, Miriam and He, Yulan and Alani, Harith},
    pages = {9--21},
    volume = {1096},
    issn = {16130073},
    keywords = {Datasets, Sentiment analysis, Twitter}
}

@article{Mathet2016,
    title = {{{\'{E}}valuation des annotations: Ses principes et ses pi{\`{e}}ges}},
    year = {2016},
    journal = {TAL Traitement Automatique des Langues},
    author = {Mathet, Yann and Widl{\"{o}}cher, Antoine},
    number = {2},
    pages = {73--98},
    volume = {57},
    issn = {12489433},
    keywords = {2, 2016, n, pages 73 {\`{a}} 98, tal, volume 57}
}

@article{Gaudette2009,
    title = {{Evaluation methods for ordinal classification}},
    year = {2009},
    journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    author = {Gaudette, Lisa and Japkowicz, Nathalie},
    pages = {207--210},
    volume = {5549 LNAI},
    isbn = {3642018173},
    doi = {10.1007/978-3-642-01818-3{\_}25},
    issn = {03029743}
}

@article{Ghassemi2022c,
    title = {{Evaluation of Accuracy Enhancement in European-Wide Crop Type Mapping by Combining Optical and Microwave Time Series}},
    year = {2022},
    journal = {Land},
    author = {Ghassemi, Babak and Immitzer, Markus and Atzberger, Clement and Vuolo, Francesco},
    number = {9},
    volume = {11},
    doi = {10.3390/land11091397},
    issn = {2073445X},
    keywords = {Google Earth Engine, LUCAS 2018, Sentinel-1, Sentinel-2, crop type classification, machine learning, time series}
}

@article{Fan2021a,
    title = {{Evaluation of crop type classification with different high resolution satellite data sources}},
    year = {2021},
    journal = {Remote Sensing},
    author = {Fan, Jinlong and Zhang, Xiaoyu and Zhao, Chunliang and Qin, Zhihao and De Vroey, Mathilde and Defourny, Pierre},
    number = {5},
    pages = {1--17},
    volume = {13},
    doi = {10.3390/rs13050911},
    issn = {20724292},
    keywords = {Classification, Crop mapping, GF-1, Landsat 8, Sentinel-2}
}

@article{Bilal2021,
    title = {{Evaluation of thematic coherence in microblogs}},
    year = {2021},
    journal = {ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference},
    author = {Bilal, Iman Munire and Wang, Bo and Liakata, Maria and Procter, Rob and Tsakalidis, Adam},
    pages = {6800--6814},
    isbn = {9781954085527},
    doi = {10.18653/v1/2021.acl-long.530},
    arxivId = {2106.15971}
}

@article{Wan2023,
    title = {{Everyone’s Voice Matters: Quantifying Annotation Disagreement Using Demographic Information}},
    year = {2023},
    journal = {Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023},
    author = {Wan, Ruyuan and Kim, Jaehyung and Kang, Dongyeop},
    pages = {14523--14530},
    volume = {37},
    isbn = {9781577358800},
    doi = {10.1609/aaai.v37i12.26698},
    issn = {2159-5399},
    arxivId = {2301.05036},
    keywords = {AISI: Computational Social Science: General, AISI: Other Social Impact: General, AISI: Philosophical and Ethical Issues: General, AISI: Social Welfare {\&} Justice {\&} Fairness and Equa}
}

@article{Shvetsova2021,
    title = {{Everything at Once -- Multi-modal Fusion Transformer for Video Retrieval}},
    year = {2021},
    author = {Shvetsova, Nina and Chen, Brian and Rouditchenko, Andrew and Thomas, Samuel and Kingsbury, Brian and Feris, Rogerio and Harwath, David and Glass, James and Kuehne, Hilde},
    url = {http://arxiv.org/abs/2112.04446},
    arxivId = {2112.04446}
}

@article{caucheteux2023evidence,
    title = {{Evidence of a predictive coding hierarchy in the human brain listening to speech}},
    year = {2023},
    journal = {Nature human behaviour},
    author = {Caucheteux, Charlotte and Gramfort, Alexandre and King, Jean-Rémi},
    number = {3},
    pages = {430--441},
    volume = {7},
    publisher = {Nature Publishing Group UK London}
}

@article{Soubki2024,
    title = {{Examining Gender and Power on Wikipedia Through Face and Politeness}},
    year = {2024},
    journal = {Sigdial},
    author = {Soubki, Adil and Choi, Shyne and Rambow, Owen},
    pages = {40--50},
    url = {https://aclanthology.org/2024.sigdial-1.4/}
}

@article{Kiritchenko2018,
    title = {{Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems}},
    year = {2018},
    journal = {NAACL HLT 2018 - Lexical and Computational Semantics, SEM 2018, Proceedings of the 7th Conference},
    author = {Kiritchenko, Svetlana and Mohammad, Saif M.},
    pages = {43--53},
    isbn = {9781948087223},
    doi = {10.18653/v1/s18-2005},
    arxivId = {1805.04508}
}

@article{Hipson2021,
    title = {{Examining the language of solitude versus loneliness in tweets}},
    year = {2021},
    author = {Hipson, Will E and Kiritchenko, Svetlana and Mohammad, Saif M and Coplan, Robert J},
    pages = {1--15},
    doi = {10.1177/0265407521998460},
    keywords = {2005, alone in the woods, approximately 33, day, emotion, in adults and up, in older adults, is, language, loneliness, much of our waking, of solitude, shelley, solitude, spent in some form, text analysis, to 50, whether it is hiking}
}

@article{Pramanick2021,
    title = {{Exercise? I thought you said 'Extra Fries': Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis}},
    year = {2021},
    author = {Pramanick, Shraman and Akhtar, Md Shad and Chakraborty, Tanmoy},
    url = {http://arxiv.org/abs/2103.12377},
    arxivId = {2103.12377}
}

@article{BarredoArrieta2020,
    title = {{Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI}},
    year = {2020},
    journal = {Information Fusion},
    author = {Barredo Arrieta, Alejandro and D{\'{i}}az-Rodr{\'{i}}guez, Natalia and Del Ser, Javier and Bennetot, Adrien and Tabik, Siham and Barbado, Alberto and Garcia, Salvador and Gil-Lopez, Sergio and Molina, Daniel and Benjamins, Richard and Chatila, Raja and Herrera, Francisco},
    pages = {82--115},
    volume = {58},
    doi = {10.1016/j.inffus.2019.12.012},
    issn = {15662535},
    arxivId = {1910.10045},
    keywords = {Accountability, Comprehensibility, Data Fusion, Deep Learning, Explainable Artificial Intelligence, Fairness, Interpretability, Machine Learning, Privacy, Responsible Artificial Intelligence, Transparency}
}

@article{Mamalakis2022XAI,
    title = {{Explainable Artificial Intelligence in Meteorology and Climate Science : Model Fine-Tuning , Calibrating Trust and Learning New Science}},
    author = {Mamalakis, Antonios and Ebert-uphoff, Imme and Barnes, Elizabeth},
    pages = {315--339},
    volume = {1},
    isbn = {9783031040832}
}

@article{Singh2023,
    title = {{Explaining black box text modules in natural language with language models}},
    year = {2023},
    author = {Singh, Chandan and Hsu, Aliyah R. and Antonello, Richard and Jain, Shailee and Huth, Alexander G. and Yu, Bin and Gao, Jianfeng},
    pages = {1--22},
    url = {http://arxiv.org/abs/2305.09863},
    arxivId = {2305.09863}
}

@article{Samek2021,
    title = {{Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications}},
    year = {2021},
    journal = {Proceedings of the IEEE},
    author = {Samek, Wojciech and Montavon, Grégoire and Lapuschkin, Sebastian and Anders, Christopher J. and M{\"{u}}ller, Klaus Robert},
    number = {3},
    pages = {247--278},
    volume = {109},
    doi = {10.1109/JPROC.2021.3060483},
    issn = {15582256},
    arxivId = {2003.07631},
    keywords = {Black-box models, Interpretability, deep learning, explainable artificial intelligence (XAI), model transparency, neural networks}
}

@article{Gilpin2018xplain,
    title = {{Explaining explanations: An overview of interpretability of machine learning}},
    year = {2018},
    journal = {Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018},
    author = {Gilpin, Leilani H. and Bau, David and Yuan, Ben Z. and Bajwa, Ayesha and Specter, Michael and Kagal, Lalana},
    pages = {80--89},
    publisher = {IEEE},
    isbn = {9781538650905},
    doi = {10.1109/DSAA.2018.00018},
    arxivId = {1806.00069},
    keywords = {Deep learning and deep analytics, Fairness and transparency in data science, Machine learning theories, Models and systems}
}

@article{Riquelme2020,
    title = {{Explaining VQA predictions using visual grounding and a knowledge base}},
    year = {2020},
    journal = {Image and Vision Computing},
    author = {Riquelme, Felipe and De Goyeneche, Alfredo and Zhang, Yundong and Niebles, Juan Carlos and Soto, Alvaro},
    pages = {103968},
    volume = {101},
    publisher = {Elsevier B.V.},
    url = {https://doi.org/10.1016/j.imavis.2020.103968},
    doi = {10.1016/j.imavis.2020.103968},
    issn = {02628856},
    keywords = {Attention, Explainability, Interpretability, Knowledge Base, Supervision, deep learning}
}

@article{Zhao2023,
    title = {{Explicit Planning Helps Language Models in Logical Reasoning}},
    year = {2023},
    author = {Zhao, Hongyu and Wang, Kangrui and Yu, Mo and Mei, Hongyuan},
    url = {http://arxiv.org/abs/2303.15714},
    arxivId = {2303.15714}
}

@article{Schick2021,
    title = {{Exploiting cloze questions for few shot text classification and natural language inference}},
    year = {2021},
    journal = {EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Schick, Timo and Sch{\"{u}}tze, Hinrich},
    pages = {255--269},
    isbn = {9781954085022},
    doi = {10.18653/v1/2021.eacl-main.20},
    arxivId = {2001.07676}
}

@inproceedings{Siddiquie2015,
    title = {{Exploiting multimodal affect and semantics to identify politically persuasive web videos}},
    year = {2015},
    booktitle = {ICMI 2015 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction},
    author = {Siddiquie, Behjat and Chisholm, Dave and Divakaran, Ajay},
    pages = {203--210},
    isbn = {9781450339124},
    doi = {10.1145/2818346.2820732},
    keywords = {Affect recognition, Audio concepts, Multimodal fusion, Sentiment analysis, Video classification, Video concepts}
}

@article{Agnihotri2020,
    title = {{Exploring Bayesian Optimization}},
    year = {2020},
    journal = {Distill},
    author = {Agnihotri, Apoorv and Batra, Nipun},
    number = {5},
    pages = {1--29},
    volume = {5},
    doi = {10.23915/distill.00026}
}

@inproceedings{Gomez2019,
    title = {{Exploring hate speech detection in multimodal publications}},
    year = {2020},
    booktitle = {WACV},
    author = {Gomez, Raul and Gibert, Jaume and Gomez, Lluis and Karatzas, Dimosthenis},
    pages = {1470--1478},
    issn = {23318422}
}

@article{Piskorski2021a,
    title = {{Exploring Linguistically-Lightweight Keyword Extraction Techniques for Indexing News Articles in a Multilingual Set-up}},
    year = {2021},
    journal = {EACL Hackashop on News Media Content Analysis and Automated Report Generation, Hackashop 2021 at 16th conference of the European Chapter of the Association for Computational Linguistics, EACL 2021 - Proceedings},
    author = {Piskorski, Jakub and Stefanovitch, Nicolas and Jacquet, Guillaume and Podavini, Aldo},
    pages = {35--44},
    isbn = {9781954085138},
    keywords = {articles in a real-, by the need to, extraction algorithms, keywords for indexing news, lect the most appropriate, se-, technique to extract, the study was motivated}
}

@inproceedings{Stahl2024,
    title = {{Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation}},
    year = {2024},
    booktitle = {19th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings},
    author = {Stahl, Maja and Biermann, Leon and Nehring, Andreas and Wachsmuth, Henning},
    url = {http://arxiv.org/abs/2404.15845},
    arxivId = {2404.15845}
}

@article{Ren2015,
    title = {{Exploring models and data for image question answering}},
    year = {2015},
    journal = {Advances in Neural Information Processing Systems},
    author = {Ren, Mengye and Kiros, Ryan and Zemel, Richard S.},
    pages = {2953--2961},
    volume = {2015-Janua},
    issn = {10495258},
    arxivId = {1505.02074}
}

@inproceedings{Zhao2014,
    title = {{Exploring principles-of-art features for image emotion recognition}},
    year = {2014},
    booktitle = {MM 2014 - Proceedings of the 2014 ACM Conference on Multimedia},
    author = {Zhao, Sicheng and Gao, Yue and Jiang, Xiaolei and Yao, Hongxun and Chua, Tat Seng and Sun, Xiaoshuai},
    pages = {47--56},
    isbn = {9781450330633},
    doi = {10.1145/2647868.2654930},
    keywords = {Affective image classification, Art theory, Image emotion, Image features, Principles of art}
}

@article{Chen2021a,
    title = {{Exploring simple Siamese representation learning}},
    year = {2021},
    journal = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
    author = {Chen, Xinlei and He, Kaiming},
    number = {Figure 1},
    pages = {15745--15753},
    isbn = {9781665445092},
    doi = {10.1109/CVPR46437.2021.01549},
    issn = {10636919},
    arxivId = {2011.10566}
}

@article{Raffel2019,
    title = {{Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer}},
    year = {2019},
    author = {Raffel, Colin and Shazeer, Noam and Roberts, Adam and Lee, Katherine and Narang, Sharan and Matena, Michael and Zhou, Yanqi and Li, Wei and Liu, Peter J.},
    pages = {1--53},
    url = {http://arxiv.org/abs/1910.10683},
    arxivId = {1910.10683}
}

@article{Li2020c,
    title = {{Exploring the Role of Argument Structure in Online Debate Persuasion}},
    year = {2020},
    journal = {Findings of ACL: EMNLP 2020},
    author = {Li, Jialu and Durmus, Esin and Cardie, Claire},
    arxivId = {arXiv:2010.03538v1}
}

@article{Durmus2018,
    title = {{Exploring the role of prior beliefs for argument persuasion}},
    year = {2018},
    journal = {NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference},
    author = {Durmus, Esin and Cardie, Claire},
    number = {1},
    pages = {1035--1045},
    volume = {1},
    isbn = {9781948087278},
    doi = {10.18653/v1/n18-1094},
    arxivId = {1906.11301}
}

@article{gupta2022expres,
    title = {{ExPRES: Examining Political Rhetoric with Epistemic Stance Detection}},
    year = {2022},
    journal = {Tacl submission},
    author = {Gupta, Ankita and Blodgett, Su Lin and Gross, Justin H and O’Connor, Brendan},
    arxivId = {arXiv:2212.14486v2}
}

@article{Tan2012,
    title = {{Extending chatterbot system into multimodal interaction framework with embodied contextual understanding}},
    year = {2012},
    journal = {HRI'12 - Proceedings of the 7th Annual ACM/IEEE International Conference on Human-Robot Interaction},
    author = {Tan, Jeffrey Too Chuan and Inamura, Tetsunari},
    pages = {251--252},
    isbn = {9781450310635},
    doi = {10.1145/2157689.2157780},
    keywords = {chatterbot, contextual understanding, embodiment, multimodal interaction}
}

@article{Wang2020a,
    title = {{Extending Multilingual BERT to Low-Resource Languages}},
    year = {2020},
    author = {Wang, Zihan and K, Karthikeyan and Mayhew, Stephen and Roth, Dan},
    url = {http://arxiv.org/abs/2004.13640},
    arxivId = {2004.13640}
}

@inproceedings{Sagawa2022,
    title = {{Extending the Wilds Benchmark for Unsupervised Adaptation}},
    year = {2022},
    booktitle = {ICLR},
    author = {Sagawa, Shiori and Koh1, Pang Wei and Lee1, Tony and Gao1, Irena and Xie, Sang Michael and Shen, Kendrick and Kumar, Ananya and Hu, Weihua and Yasunaga, Michihiro and Marklund, Henrik and Beery, Sara and David, Etienne and Stavness, Ian and Guo, Wei and Leskovec, Jure and Saenko, Kate and Hashimoto, Tatsunori and Levine, Sergey and Finn, Chelsea and Liang, Percy},
    url = {https://openreview.net/pdf?id=z7p2V6KROOV}
}

@article{Basta2021a,
    title = {{Extensive study on the underlying gender bias in contextualized word embeddings}},
    year = {2021},
    journal = {Neural Computing and Applications},
    author = {Basta, Christine and Costa-juss{\`{a}}, Marta R. and Casas, Noe},
    number = {8},
    pages = {3371--3384},
    volume = {33},
    isbn = {0123456789},
    doi = {10.1007/s00521-020-05211-z},
    issn = {14333058},
    keywords = {Contextualized embeddings, Gender bias, Natural Language processing}
}

@article{Imran2013,
    title = {{Extracting information nuggets from disaster- Related messages in social media}},
    year = {2013},
    journal = {ISCRAM 2013 Conference Proceedings - 10th International Conference on Information Systems for Crisis Response and Management},
    author = {Imran, Muhammad and Elbassuoni, Shady and Castillo, Carlos and Diaz, Fernando and Meier, Patrick},
    number = {May},
    pages = {791--801},
    isbn = {9783923704804},
    keywords = {Information extraction, Social media, Supervised classification, Twitter}
}

@article{Carlini2021,
    title = {{Extracting training data from large language models}},
    year = {2021},
    journal = {Proceedings of the 30th USENIX Security Symposium},
    author = {Carlini, Nicholas and Tram{\`{e}}r, Florian and Wallace, Eric and Jagielski, Matthew and Herbert-Voss, Ariel and Lee, Katherine and Roberts, Adam and Brown, Tom and Song, Dawn and Erlingsson, Úlfar and Oprea, Alina and Raffel, Colin},
    pages = {2633--2650},
    isbn = {9781939133243},
    arxivId = {2012.07805}
}

@inproceedings{Emnlp2023,
    title = {{EZ-STANCE : A Large Dataset for Zero-Shot Stance Detection}},
    year = {2023},
    booktitle = {EMNLP},
    author = {Zhao, Chenye and Caragea, Cornelia},
    pages = {897--911}
}

@article{Zhao2023a,
    title = {{EZ-STANCE: A Large Dataset for Zero-Shot Stance Detection}},
    year = {2024},
    journal = {Findings of the Association for Computational Linguistics: ACL 2024},
    author = {Zhao, Chenye and Caragea, Cornelia},
    pages = {897--911},
    volume = {1},
    isbn = {9798891760615}
}

@inproceedings{Nakov2020,
    title = {{Fact-Checking, Fake News, Propaganda, and Media Bias: Truth Seeking in the Post-Truth Era}},
    year = {2020},
    booktitle = {EMNLP},
    author = {Nakov, Preslav and da San Martino, Giovanni}
}

@article{Wang2023,
    title = {{Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output}},
    year = {2023},
    author = {Wang, Yuxia and Gangi Reddy, Revanth and Muhammad Mujahid, Zain and Arora, Arnav and Rubashevskii, Aleksandr and Geng, Jiahui and Mohammed Afzal, Osama and Pan, Liangming and Borenstein, Nadav and Pillai, Aditya and Augenstein, Isabelle and Gurevych, Iryna and Nakov, Preslav and Dhabi, Abu},
    url = {https://arxiv.org/abs/2311.09000v2},
    arxivId = {2311.09000}
}

@article{Wang2023d,
    title = {{Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output}},
    year = {2023},
    author = {Wang, Yuxia and Reddy, Revanth Gangi and Mujahid, Zain Muhammad and Arora, Arnav and Rubashevskii, Aleksandr and Geng, Jiahui and Afzal, Osama Mohammed and Pan, Liangming and Borenstein, Nadav and Pillai, Aditya and Augenstein, Isabelle and Gurevych, Iryna and Nakov, Preslav},
    url = {http://arxiv.org/abs/2311.09000},
    arxivId = {2311.09000}
}

@article{Liang2023e,
    title = {{FACTORIZED CONTRASTIVE LEARNING : Going Beyond Multi-view Redundancy}},
    year = {2023},
    author = {Liang, Paul Pu and Deng, Zihao and Ma, Martin Q and Zou, James and Morency, Louis-philippe and Salakhutdinov, Ruslan},
    number = {NeurIPS},
    pages = {1--28},
    arxivId = {arXiv:2306.05268v2}
}

@article{Liang2023a,
    title = {{Factorized Contrastive Learning: Going Beyond Multi-view Redundancy}},
    year = {2023},
    author = {Liang, Paul Pu and Deng, Zihao and Ma, Martin and Zou, James and Morency, Louis-Philippe and Salakhutdinov, Ruslan},
    number = {NeurIPS},
    pages = {1--28},
    url = {http://arxiv.org/abs/2306.05268},
    arxivId = {2306.05268}
}

@article{Chalkidis2022,
    title = {{FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing}},
    year = {2022},
    author = {Chalkidis, Ilias and Pasini, Tommaso and Zhang, Sheng and Tomada, Letizia and Schwemer, Sebastian Felix and S{\o}gaard, Anders},
    url = {http://arxiv.org/abs/2203.07228},
    arxivId = {2203.07228}
}

@book{Barocas2023,
    title = {{FAIRNESS AND MACHINE LEARNING}},
    year = {2023},
    author = {Barocas, Solon and Hardt, Moritz and Narayanan, Arvind},
    editor = {{Association for Computational Linguistics}},
    url = {https://fairmlbook.org/}
}

@inproceedings{Dziri2023,
    title = {{Faith and Fate: Limits of Transformers on Compositionality}},
    year = {2023},
    author = {Dziri, Nouha and Lu, Ximing and Sclar, Melanie and Li, Xiang Lorraine and Jiang, Liwei and Lin, Bill Yuchen and West, Peter and Bhagavatula, Chandra and Bras, Ronan Le and Hwang, Jena D. and Sanyal, Soumya and Welleck, Sean and Ren, Xiang and Ettinger, Allyson and Harchaoui, Zaid and Choi, Yejin},
    number = {NeurIPS},
    url = {http://arxiv.org/abs/2305.18654},
    arxivId = {2305.18654}
}

@article{Lyu2023,
    title = {{Faithful Chain-of-Thought Reasoning}},
    year = {2023},
    author = {Lyu, Qing and Havaldar, Shreya and Stein, Adam and Zhang, Li and Rao, Delip and Wong, Eric and Apidianaki, Marianna and Callison-Burch, Chris},
    url = {http://arxiv.org/abs/2301.13379},
    arxivId = {2301.13379}
}

@article{Huang2022,
    title = {{Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation}},
    year = {2022},
    author = {Huang, Kung-Hsiang and McKeown, Kathleen and Nakov, Preslav and Choi, Yejin and Ji, Heng},
    url = {http://arxiv.org/abs/2203.05386},
    arxivId = {2203.05386}
}

@article{Lu2021,
    title = {{Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity}},
    year = {2022},
    journal = {ACL},
    author = {Lu, Yao and Bartolo, Max and Moore, Alastair and Riedel, Sebastian and Stenetorp, Pontus},
    pages = {8086--8098},
    volume = {1},
    url = {http://arxiv.org/abs/2104.08786},
    arxivId = {2104.08786}
}

@article{Lim2019,
    title = {{Fast AutoAugment}},
    year = {2019},
    journal = {Advances in Neural Information Processing Systems},
    author = {Lim, Sungbin and Kim, Ildoo and Kim, Taesup and Kim, Chiheon and Kim, Sungwoong},
    volume = {32},
    issn = {10495258},
    arxivId = {1905.00397}
}

@inproceedings{Girshick2015,
    title = {{Fast R-CNN}},
    year = {2015},
    booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
    author = {Girshick, Ross},
    pages = {1440--1448},
    volume = {2015 Inter},
    isbn = {9781467383912},
    doi = {10.1109/ICCV.2015.169},
    issn = {15505499},
    arxivId = {1504.08083}
}

@inproceedings{Ren2015a,
    title = {{Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing}},
    year = {2015},
    booktitle = {Neurips},
    author = {Ren, Shaoqing and He, Kaiming and Girshick, Ross and Sun, Jian},
    doi = {10.4324/9780080519340-12}
}

@article{Hardalov2021b,
    title = {{Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training}},
    year = {2022},
    journal = {AAAI},
    author = {Hardalov, Momchil and Arora, Arnav and Nakov, Preslav and Augenstein, Isabelle},
    url = {http://arxiv.org/abs/2109.06050},
    arxivId = {2109.06050}
}

@article{Yang2023,
    title = {{Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt}},
    year = {2023},
    author = {Yang, Xiaocui and Feng, Shi and Wang, Daling and Qi, Sun and Wu, Wenfang and Zhang, Yifei and Hong, Pengfei and Poria, Soujanya},
    url = {http://arxiv.org/abs/2305.10169},
    arxivId = {2305.10169}
}

@article{Khiabani2023,
    title = {{Few-shot Learning for Cross-Target Stance Detection by Aggregating Multimodal Embeddings}},
    year = {2023},
    author = {Khiabani, Parisa Jamadi and Zubiaga, Arkaitz},
    pages = {1--10},
    url = {http://arxiv.org/abs/2301.04535},
    arxivId = {2301.04535}
}

@article{Liu2022,
    title = {{Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning}},
    year = {2022},
    author = {Liu, Haokun and Tam, Derek and Muqeeth, Mohammed and Mohta, Jay and Huang, Tenghao and Bansal, Mohit and Raffel, Colin},
    url = {http://arxiv.org/abs/2205.05638},
    arxivId = {2205.05638}
}

@article{Liu2022a,
    title = {{Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning}},
    year = {2022},
    author = {Liu, Haokun and Tam, Derek and Muqeeth, Mohammed and Mohta, Jay and Huang, Tenghao and Bansal, Mohit and Raffel, Colin},
    pages = {1--23},
    url = {http://arxiv.org/abs/2205.05638},
    arxivId = {2205.05638}
}

@article{Schick2020a,
    title = {{Few-Shot Text Generation with Pattern-Exploiting Training}},
    year = {2020},
    author = {Schick, Timo and Sch{\"{u}}tze, Hinrich},
    url = {http://arxiv.org/abs/2012.11926},
    arxivId = {2012.11926}
}

@article{Khan2022,
    title = {{FFireNet: Deep Learning Based Forest Fire Classification and Detection in Smart Cities}},
    year = {2022},
    journal = {Symmetry},
    author = {Khan, Somaiya and Khan, Ali},
    number = {10},
    volume = {14},
    doi = {10.3390/sym14102155},
    issn = {20738994},
    keywords = {artificial intelligence, deep learning, forest fire classification, smart city application}
}

@inproceedings{Reif2023,
    title = {{Fighting Bias with Bias: Promoting Model Robustness by Amplifying Dataset Biases}},
    year = {2023},
    booktitle = {Findings of ACL: ACL 2023},
    author = {Reif, Yuval and Schwartz, Roy},
    pages = {13169--13189},
    url = {http://arxiv.org/abs/2305.18917},
    arxivId = {2305.18917}
}

@article{Dewangan2022,
    title = {{FIgLib {\&} SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection}},
    year = {2022},
    journal = {Remote Sensing},
    author = {Dewangan, Anshuman and Pande, Yash and Braun, Hans Werner and Vernon, Frank and Perez, Ismael and Altintas, Ilkay and Cottrell, Garrison W. and Nguyen, Mai H.},
    number = {4},
    pages = {1--15},
    volume = {14},
    doi = {10.3390/rs14041007},
    issn = {20724292},
    arxivId = {2112.08598},
    keywords = {Artificial intelligence, Computer vision, Deep learning, HPWREN, Machine learning, Remote sensing, Smoke detection, Wildland fire mitigation}
}

@article{Fang2020,
    title = {{FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding}},
    year = {2020},
    author = {Fang, Yuwei and Wang, Shuohang and Gan, Zhe and Sun, Siqi and Liu, Jingjing},
    volume = {2},
    url = {http://arxiv.org/abs/2009.05166},
    arxivId = {2009.05166}
}

@inproceedings{Horbach,
    title = {{Finding a tradeoff between accuracy and Rater's workload in grading clustered short answers}},
    year = {2014},
    booktitle = {Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014},
    author = {Horbach, Andrea and Palmer, Alexis and Wolska, Magdalena},
    pages = {588--595},
    isbn = {9782951740884},
    keywords = {Clustering, Computer - Assisted correction, Short answer scoring}
}

@article{DaSanMartino2020,
    title = {{Fine-grained analysis of propaganda in news articles}},
    year = {2020},
    journal = {EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference},
    author = {da San Martino, Giovanni and Yu, Seunghak and Barr{\'{o}}n-Cede{\~{n}}o, Alberto and Petrov, Rostislav and Nakov, Preslav},
    number = {4},
    pages = {5636--5646},
    isbn = {9781950737901},
    arxivId = {1910.02517}
}

@inproceedings{Haneczok2021,
    title = {{Fine-grained Event Classification in News-like Text Snippets Shared Task 2 , CASE 2021}},
    year = {2021},
    booktitle = {Proceedings of the 4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021), ACL-IJCNLP},
    author = {Haneczok, Jacek and Jacquet, Guillaume and Stefanovitch, Nicolas}
}

@article{Wu2023a,
    title = {{Fine-Grained Human Feedback Gives Better Rewards for Language Model Training}},
    year = {2023},
    author = {Wu, Zeqiu and Hu, Yushi and Shi, Weijia and Dziri, Nouha and Suhr, Alane and Ammanabrolu, Prithviraj and Smith, Noah A. and Ostendorf, Mari and Hajishirzi, Hannaneh},
    pages = {1--26},
    url = {http://arxiv.org/abs/2306.01693},
    arxivId = {2306.01693}
}

@article{Wei2021a,
    title = {{Finetuned Language Models Are Zero-Shot Learners}},
    year = {2022},
    journal = {ICLR},
    author = {Wei, Jason and Bosma, Maarten and Zhao, Vincent Y. and Guu, Kelvin and Yu, Adams Wei and Lester, Brian and Du, Nan and Dai, Andrew M. and Le, Quoc V.},
    pages = {1--41},
    url = {http://arxiv.org/abs/2109.01652},
    arxivId = {2109.01652}
}

@article{Shees2023,
    title = {{FireNet-v2: Improved Lightweight Fire Detection Model for Real-Time IoT Applications}},
    year = {2023},
    journal = {Procedia Computer Science},
    author = {Shees, Anwer and Ansari, Mohammad Samar and Varshney, Akshay and Asghar, Mamoona Naveed and Kanwal, Nadia},
    pages = {2233--2242},
    volume = {218},
    publisher = {Elsevier B.V.},
    url = {https://doi.org/10.1016/j.procs.2023.01.199},
    doi = {10.1016/j.procs.2023.01.199},
    issn = {18770509},
    keywords = {"Convolution Neural Network", "Deep learning", "Fire Detection", "FireNet"}
}

@article{Jadon2019,
    title = {{FireNet: A Specialized Lightweight Fire {\&} Smoke Detection Model for Real-Time IoT Applications}},
    year = {2019},
    author = {Jadon, Arpit and Omama, Mohd. and Varshney, Akshay and Ansari, Mohammad Samar and Sharma, Rishabh},
    url = {http://arxiv.org/abs/1905.11922},
    arxivId = {1905.11922}
}

@article{MARJANI2023102282,
    title = {{FirePred: A hybrid multi-temporal convolutional neural network model for wildfire spread prediction}},
    year = {2023},
    journal = {Ecological Informatics},
    author = {Marjani, Mohammad and Ahmadi, Seyed Ali and Mahdianpari, Masoud},
    pages = {102282},
    url = {https://www.sciencedirect.com/science/article/pii/S1574954123003114},
    doi = {https://doi.org/10.1016/j.ecoinf.2023.102282},
    issn = {1574-9541},
    keywords = {Convolutional neural network, Deep learning, Multi-temporal, Recurrent neural network, Wildfire spread}
}

@article{Murty2022,
    title = {{Fixing Model Bugs with Natural Language Patches}},
    year = {2022},
    journal = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022},
    author = {Murty, Shikhar and Manning, Christopher D. and Lundberg, Scott and Ribeiro, Marco Tulio},
    pages = {11600--11613},
    arxivId = {2211.03318}
}

@article{Garioud2023,
    title = {{FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery}},
    year = {2023},
    author = {Garioud, Anatol and Gonthier, Nicolas and Landrieu, Loic and De Wit, Apolline and Valette, Marion and Poup{\'{e}}e, Marc and Giordano, Sébastien and Wattrelos, Boris},
    number = {NeurIPS},
    pages = {1--27},
    url = {http://arxiv.org/abs/2310.13336},
    arxivId = {2310.13336}
}

@article{Garioud2023b,
    title = {{FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery}},
    year = {2023},
    author = {Garioud, Anatol and Gonthier, Nicolas and Landrieu, Loic and De Wit, Apolline and Valette, Marion and Poup{\'{e}}e, Marc and Giordano, Sébastien and Wattrelos, Boris},
    number = {NeurIPS},
    pages = {1--27},
    url = {http://arxiv.org/abs/2310.13336},
    arxivId = {2310.13336}
}

@inproceedings{Alayrac2022,
    title = {{Flamingo: a Visual Language Model for Few-Shot Learning}},
    year = {2022},
    booktitle = {Advances in Neural Information Processing Systems},
    author = {Alayrac, Jean Baptiste and Donahue, Jeff and Luc, Pauline and Miech, Antoine and Barr, Iain and Hasson, Yana and Lenc, Karel and Mensch, Arthur and Millican, Katie and Reynolds, Malcolm and Ring, Roman and Rutherford, Eliza and Han, Serkan Cabi Tengda and Gong, Zhitao and Samangooei, Sina and Monteiro, Marianne and Menick, Jacob and Borgeaud, Sebastian and Brock, Andrew and Nematzadeh, Aida and Sharifzadeh, Sahand and Binkowski, Mikolaj and Barreira, Ricardo and Vinyals, Oriol and Zisserman, Andrew and Simonyan, Karen},
    number = {NeurIPS},
    volume = {35},
    isbn = {9781713871088},
    issn = {10495258},
    arxivId = {2204.14198}
}

@article{Singh2021,
    title = {{FLAVA: A Foundational Language And Vision Alignment Model}},
    year = {2021},
    author = {Singh, Amanpreet and Hu, Ronghang and Goswami, Vedanuj and Couairon, Guillaume and Galuba, Wojciech and Rohrbach, Marcus and Kiela, Douwe},
    url = {http://arxiv.org/abs/2112.04482},
    arxivId = {2112.04482}
}

@article{Nevo2022,
    title = {{Flood forecasting with machine learning models in an operational framework}},
    year = {2022},
    journal = {Hydrology and Earth System Sciences},
    author = {Nevo, Sella and Morin, Efrat and Gerzi Rosenthal, Adi and Metzger, Asher and Barshai, Chen and Weitzner, Dana and Voloshin, Dafi and Kratzert, Frederik and Elidan, Gal and Dror, Gideon and Begelman, Gregory and Nearing, Grey and Shalev, Guy and Noga, Hila and Shavitt, Ira and Yuklea, Liora and Royz, Moriah and Giladi, Niv and Peled Levi, Nofar and Reich, Ofir and Gilon, Oren and Maor, Ronnie and Timnat, Shahar and Shechter, Tal and Anisimov, Vladimir and Gigi, Yotam and Levin, Yuval and Moshe, Zach and Ben-Haim, Zvika and Hassidim, Avinatan and Matias, Yossi},
    number = {15},
    pages = {4013--4032},
    volume = {26},
    doi = {10.5194/hess-26-4013-2022},
    issn = {16077938},
    arxivId = {2111.02780}
}

@article{Rahnemoonfar2021,
    title = {{FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding}},
    year = {2021},
    journal = {IEEE Access},
    author = {Rahnemoonfar, Maryam and Chowdhury, Tashnim and Sarkar, Argho and Varshney, Debvrat and Yari, Masoud and Murphy, Robin Roberson},
    pages = {89644--89654},
    volume = {9},
    doi = {10.1109/ACCESS.2021.3090981},
    issn = {21693536},
    arxivId = {2012.02951},
    keywords = {Artificial intelligence, deep learning, hurricane Harvey, image classification, machine learning, natural disaster dataset, remote sensing, semantic segmentation, unmanned aerial vehicle (UAV), visual question answering}
}

@article{James2022,
    title = {{Food and feed safety vulnerabilities in the circular economy}},
    year = {2022},
    journal = {EFSA Supporting Publications},
    author = {James, Katy and Millington, Anthony and Randall, Nicola},
    number = {3},
    volume = {19},
    doi = {10.2903/sp.efsa.2022.en-7226},
    issn = {23978325},
    keywords = {biological hazards, chemical hazards, correspondence, efsa, efsa-q-2020-00569, emerging risk, eu, europa, food waste, know, novel feed, novel food, question number}
}

@article{Weber2023,
    title = {{Fostering User Engagement in the Critical Reflection of Arguments}},
    year = {2023},
    author = {Weber, Klaus and Aicher, Annalena and Minker, Wolfang and Ultes, Stefan and Andr{\'{e}}, Elisabeth},
    pages = {1--16},
    url = {http://arxiv.org/abs/2308.09061},
    arxivId = {2308.09061}
}

@article{Liang2022a,
    title = {{Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions}},
    year = {2022},
    author = {Liang, Paul Pu and Zadeh, Amir and Morency, Louis-Philippe},
    number = {1},
    pages = {1--65},
    url = {http://arxiv.org/abs/2209.03430},
    arxivId = {2209.03430}
}

@article{Zehtab-Salmasi2021,
    title = {{FRAKE: Fusional Real-time Automatic Keyword Extraction}},
    year = {2021},
    author = {Zehtab-Salmasi, Aidin and Feizi-Derakhshi, Mohammad-Reza and Balafar, Mohamad-Ali},
    url = {http://arxiv.org/abs/2104.04830},
    arxivId = {2104.04830},
    keywords = {and at all times, considerable amount of text, documents makes it practically, documents to be accessed, efficiently and, electronic infrastructure creates a, every day, extraction is the process, impossible for human resources, nevertheless, of identifying the words, of one, or phrases that express, s ability, text to the best, the main concepts of, the need for these, them, this massive volume of, to study and manage}
}

@misc{DatabricksBlog2023DollyV2,
    title = {{Free Dolly: Introducing the World's First Truly Open Instruction-Tuned LLM}},
    year = {2023},
    author = {Conover, Mike and Hayes, Matt and Mathur, Ankit and Xie, Jianwei and Wan, Jun and Shah, Sam and Ghodsi, Ali and Wendell, Patrick and Zaharia, Matei and Xin, Reynold},
    url = {https://www.databricks.com/blog/2023/04/12/dolly-first-open-commercially-viable-instruction-tuned-llm}
}

@article{Messner2023,
    title = {{From Bytes to Biases: Investigating the Cultural Self-Perception of Large Language Models}},
    year = {2023},
    author = {Messner, Wolfgang and Greene, Tatum and Matalone, Josephine},
    url = {http://arxiv.org/abs/2312.17256},
    arxivId = {2312.17256},
    keywords = {algorithmic bias, bard, chatgpt, conversational artificial intelligence, culture, genai, generative artificial intelligence, google, language, large language model, llm, openai}
}

@article{Young2014,
    title = {{From image descriptions to visual denotations}},
    year = {2014},
    journal = {Transactions of the Association of Computational Linguistics},
    author = {Young, Peter and Lai, Alice and Hodosh, Micah and Hockenmaier, Julia},
    number = {1},
    pages = {67--78},
    volume = {2},
    url = {https://aclanthology.coli.uni-saarland.de/papers/Q14-1006/q14-1006%0Ahttp://aclweb.org/anthology/Q14-1006},
    isbn = {1-58113-905-5},
    issn = {2307-387X}
}

@article{Lundberg2020,
    title = {{From local explanations to global understanding with explainable AI for trees}},
    year = {2020},
    journal = {Nature Machine Intelligence},
    author = {Lundberg, Scott M. and Erion, Gabriel and Chen, Hugh and DeGrave, Alex and Prutkin, Jordan M. and Nair, Bala and Katz, Ronit and Himmelfarb, Jonathan and Bansal, Nisha and Lee, Su-In},
    number = {1},
    pages = {56--67},
    volume = {2},
    publisher = {Springer US},
    url = {http://dx.doi.org/10.1038/s42256-019-0138-9},
    isbn = {4225601901389},
    doi = {10.1038/s42256-019-0138-9},
    issn = {2522-5839},
    pmid = {32607472}
}

@article{DAndrimont2021,
    title = {{From parcel to continental scale – A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations}},
    year = {2021},
    journal = {Remote Sensing of Environment},
    author = {d'Andrimont, Raphaël and Verhegghen, Astrid and Lemoine, Guido and Kempeneers, Pieter and Meroni, Michele and van der Velde, Marijn},
    number = {October},
    volume = {266},
    doi = {10.1016/j.rse.2021.112708},
    issn = {00344257},
    arxivId = {2105.09261},
    keywords = {Classification, Climate change, Copernicus, Crop modeling, Crop production, Crop type, Crop yield forecasting, LUCAS, Monitoring, Parcel, Sentinel-1, Sentinel-2, Time series, Validation}
}

@article{DAndrimont2021a,
    title = {{From parcel to continental scale – A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations}},
    year = {2021},
    journal = {Remote Sensing of Environment},
    author = {d'Andrimont, Raphaël and Verhegghen, Astrid and Lemoine, Guido and Kempeneers, Pieter and Meroni, Michele and van der Velde, Marijn},
    number = {May},
    volume = {266},
    doi = {10.1016/j.rse.2021.112708},
    issn = {00344257},
    arxivId = {2105.09261},
    keywords = {Classification, Climate change, Copernicus, Crop modeling, Crop production, Crop type, Crop yield forecasting, LUCAS, Monitoring, Parcel, Sentinel-1, Sentinel-2, Time series, Validation}
}

@inproceedings{Feng2023,
    title = {{From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models}},
    year = {2023},
    booktitle = {ACL},
    author = {Feng, Shangbin and Park, Chan Young and Liu, Yuhan and Tsvetkov, Yulia},
    pages = {11737--11762},
    volume = {1},
    url = {http://arxiv.org/abs/2305.08283},
    arxivId = {2305.08283}
}

@article{Balalau2021,
    title = {{From the stage to the audience: Propaganda on reddit}},
    year = {2021},
    journal = {EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Balalau, Oana and Horincar, Roxana},
    pages = {3540--3550},
    isbn = {9781954085022},
    doi = {10.18653/v1/2021.eacl-main.309}
}

@article{Kang2023,
    title = {{From Values to Opinions: Predicting Human Behaviors and Stances Using Value-Injected Large Language Models}},
    year = {2023},
    author = {Kang, Dongjun and Park, Joonsuk and Jo, Yohan and Bak, JinYeong},
    pages = {15539--15559},
    url = {https://arxiv.org/abs/2310.17857v1},
    arxivId = {2310.17857}
}

@article{Chhaya2018,
    title = {{Frustrated, polite or formal: Quantifying feelings and tone in emails}},
    year = {2018},
    journal = {Proceedings of the 2nd Workshop on Computational Modeling of PFople's Opinions, PersonaLity, and Emotions in Social Media, PEOPLES 2018 at the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language T},
    author = {Chhaya, Niyati and Chawla, Kushal and Goyal, Tanya and Chanda, Projjal and Singh, Jaya},
    pages = {76--86},
    isbn = {9781948087179},
    doi = {10.18653/v1/w18-1111}
}

@article{Themyr2023,
    title = {{Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation}},
    year = {2023},
    journal = {Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023},
    author = {Themyr, Loic and Rambour, Clement and Thome, Nicolas and Collins, Toby and Hostettler, Alexandre},
    pages = {3223--3232},
    isbn = {9781665493468},
    doi = {10.1109/WACV56688.2023.00324},
    arxivId = {2212.07890},
    keywords = {Algorithms: Image recognition and understanding (o, Machine learning architectures, and algorithms (including transfer, low-shot, semi, formulations}
}

@article{Themyr2023b,
    title = {{Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation}},
    year = {2023},
    journal = {Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023},
    author = {Themyr, Loic and Rambour, Clement and Thome, Nicolas and Collins, Toby and Hostettler, Alexandre},
    pages = {3223--3232},
    isbn = {9781665493468},
    doi = {10.1109/WACV56688.2023.00324},
    arxivId = {2212.07890},
    keywords = {Algorithms: Image recognition and understanding (o, Machine learning architectures, and algorithms (including transfer, low-shot, semi, formulations}
}

@article{Dai2020a,
    title = {{Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing}},
    year = {2020},
    author = {Dai, Zihang and Lai, Guokun and Yang, Yiming and Le, Quoc V.},
    pages = {1--19},
    url = {http://arxiv.org/abs/2006.03236},
    arxivId = {2006.03236}
}

@article{Latif2024,
    title = {{G-SciEdBERT: A Contextualized LLM for Science Assessment Tasks in German}},
    year = {2024},
    author = {Latif, Ehsan and Lee, Gyeong-Geon and Neuman, Knut and Kastorff, Tamara and Zhai, Xiaoming},
    pages = {1--9},
    url = {http://arxiv.org/abs/2402.06584},
    arxivId = {2402.06584},
    keywords = {automated scoring, bert, contextual, g-sciedbert, german writing, large language model, learning, pisa}
}

@article{Mialon2024,
    title = {{Gaia: a Benchmark for General Ai Assistants}},
    year = {2024},
    journal = {12th International Conference on Learning Representations, ICLR 2024},
    author = {Mialon, Grégoire and Fourrier, Clémentine and Swift, Craig and Wolf, Thomas and LeCun, Yann and Scialom, Thomas},
    pages = {1--24},
    arxivId = {2311.12983}
}

@article{Taylor2022,
    title = {{Galactica: A Large Language Model for Science}},
    year = {2022},
    author = {Taylor, Ross and Kardas, Marcin and Cucurull, Guillem and Scialom, Thomas and Hartshorn, Anthony and Saravia, Elvis and Poulton, Andrew and Kerkez, Viktor and Stojnic, Robert},
    number = {August 2022},
    pages = {1--58},
    url = {http://arxiv.org/abs/2211.09085},
    arxivId = {2211.09085}
}

@article{Chung2015,
    title = {{Gated feedback recurrent neural networks}},
    year = {2015},
    journal = {Proceedings of the 32nd International Conference on Machine Learning, {\{}ICML{\}} 2015},
    author = {Chung, Junyoung and Gulcehre, Caglar and Cho, Kyunghyun and Bengio, Yoshua},
    pages = {2067--2075},
    volume = {37},
    url = {http://arxiv.org/abs/1502.02367},
    isbn = {9781634393973},
    doi = {10.1145/2661829.2661935},
    issn = {18792782},
    pmid = {23459267},
    arxivId = {1502.02367}
}

@inproceedings{Arevalo2017,
    title = {{Gated multimodal units for information fusion}},
    year = {2017},
    booktitle = {5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings},
    author = {Arevalo, John and Solorio, Thamar and Montes-Y-G{\'{o}}mez, Manuel and Gonz{\'{a}}lez, Fabio A.},
    arxivId = {1702.01992}
}

@article{Turkoglu2021,
    title = {{Gating Revisited: Deep Multi-layer RNNs That Can Be Trained}},
    year = {2021},
    journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
    author = {Turkoglu, Mehmet Ozgur and D'Aronco, Stefano and Wegner, Jan and Schindler, Konrad},
    pages = {1--16},
    doi = {10.1109/TPAMI.2021.3064878},
    issn = {19393539},
    arxivId = {1911.11033},
    keywords = {Computer architecture, Deep RNN, Lattices, Logic gates, Microprocessors, Multi-layer RNN, Recurrent neural network, Recurrent neural networks, Task analysis, Training}
}

@article{Hu2020a,
    title = {{GazPNE: Annotation-free Deep Learning for Place Name Extraction from Microblogs Leveraging Gazetteer and Synthetic Data by Rules}},
    year = {2020},
    author = {Hu, Xuke and Al-olimat, Hussein and Kersten, Jens and Wiegmann, Matti},
    number = {September},
    url = {https://www.researchgate.net/publication/344339276_GazPNE_Annotation-free_Deep_Learning_for_Place_Name_Extraction_from_Microblogs_Leveraging_Gazetteer_and_Synthetic_Data_by_Rules},
    doi = {10.13140/RG.2.2.35493.73444}
}

@article{Lian2023,
    title = {{GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation}},
    year = {2023},
    journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
    author = {Lian, Zheng and Chen, Lan and Sun, Licai and Liu, Bin and Tao, Jianhua},
    pages = {1--14},
    doi = {10.1109/tpami.2023.3234553},
    issn = {0162-8828},
    arxivId = {2203.02177}
}

@article{Su2021,
    title = {{GEM: A General Evaluation Benchmark for Multimodal Tasks}},
    year = {2021},
    journal = {Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021},
    author = {Su, Lin and Duan, Nan and Cui, Edward and Ji, Lei and Wu, Chenfei and Luo, Huaishao and Liu, Yongfei and Zhong, Ming and Bharti, Taroon and Sacheti, Arun},
    number = {2},
    pages = {2594--2603},
    isbn = {9781954085541},
    doi = {10.18653/v1/2021.findings-acl.229},
    arxivId = {2106.09889}
}

@article{Zhao2019,
    title = {{Gender bias in contextualized word embeddings}},
    year = {2019},
    journal = {NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference},
    author = {Zhao, Jieyu and Wang, Tianlu and Yatskar, Mark and Cotterell, Ryan and Ordonez, Vicente and Chang, Kai Wei},
    pages = {629--634},
    volume = {1},
    isbn = {9781950737130},
    doi = {10.18653/v1/n19-1064},
    arxivId = {1904.03310}
}

@article{Zhao2018a,
    title = {{Gender bias in coreference resolution: Evaluation and debiasing methods}},
    year = {2018},
    journal = {NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference},
    author = {Zhao, Jieyu and Wang, Tianlu and Yatskar, Mark and Ordonez, Vicente and Chang, Kai Wei},
    pages = {15--20},
    volume = {2},
    isbn = {9781948087292},
    doi = {10.18653/v1/n18-2003},
    arxivId = {1804.06876}
}

@article{Kaneko2022,
    title = {{Gender Bias in Masked Language Models for Multiple Languages}},
    year = {2022},
    journal = {NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference},
    author = {Kaneko, Masahiro and Imankulova, Aizhan and Bollegala, Danushka and Okazaki, Naoaki},
    pages = {2740--2750},
    isbn = {9781955917711},
    doi = {10.18653/v1/2022.naacl-main.197},
    arxivId = {2205.00551}
}

@article{Adolph2016,
    title = {{Gender Inequality and Deliberation: a meta-analysis}},
    year = {2016},
    author = {Adolph, Ralph},
    pages = {1--23},
    isbn = {2013206534}
}

@inproceedings{Ghanbarzadeh2023,
    title = {{Gender-tuning : Empowering Fine-tuning for Debiasing Pre-trained Language Models}},
    year = {2023},
    booktitle = {Findings of ACL: ACL 2023},
    author = {Ghanbarzadeh, Somayeh and Palangi, Hamid},
    pages = {5448--5458}
}

@inproceedings{Bhargava2021,
    title = {{Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics}},
    year = {2021},
    booktitle = {Proceedings of the Second Workshop on Insights from Negative Results in NLP},
    author = {Bhargava, Prajjwal and Drozd, Aleksandr and Rogers, Anna},
    pages = {125--135},
    doi = {10.18653/v1/2021.insights-1.18},
    arxivId = {2110.01518}
}

@article{Nyborg2022,
    title = {{Generalized Classification of Satellite Image Time Series with Thermal Positional Encoding}},
    year = {2022},
    journal = {IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops},
    author = {Nyborg, Joachim and Pelletier, Charlotte and Assent, Ira},
    pages = {1391--1401},
    volume = {2022-June},
    isbn = {9781665487399},
    doi = {10.1109/CVPRW56347.2022.00145},
    issn = {21607516},
    arxivId = {2203.09175}
}

@article{Schick2021b,
    title = {{Generating Datasets with Pretrained Language Models}},
    year = {2021},
    author = {Schick, Timo and Sch{\"{u}}tze, Hinrich},
    url = {http://arxiv.org/abs/2104.07540},
    arxivId = {2104.07540}
}

@inproceedings{Liu2018a,
    title = {{Generating wikipedia by summarizing long sequences}},
    year = {2018},
    booktitle = {6th International Conference on Learning Representations, ICLR 2018 - Conference Track Proceedings},
    author = {Liu, Peter J. and Saleh, Mohammad and Pot, Etienne and Goodrich, Ben and Sepassi, Ryan and Kaiser, Łukasz and Shazeer, Noam},
    arxivId = {1801.10198}
}

@inproceedings{Park2023,
    title = {{Generative Agents: Interactive Simulacra of Human Behavior}},
    year = {2023},
    booktitle = {UIST '23: Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology},
    author = {Park, Joon Sung and O'Brien, Joseph C. and Cai, Carrie J. and Morris, Meredith Ringel and Liang, Percy and Bernstein, Michael S.},
    number = {1},
    volume = {1},
    publisher = {Association for Computing Machinery},
    url = {http://arxiv.org/abs/2304.03442},
    arxivId = {2304.03442},
    keywords = {Human-AI Interaction, agents, generative AI, large}
}

@article{Holtzman2023,
    title = {{Generative Models as a Complex Systems Science: How can we make sense of large language model behavior?}},
    year = {2023},
    author = {Holtzman, Ari and West, Peter and Zettlemoyer, Luke},
    url = {http://arxiv.org/abs/2308.00189},
    arxivId = {2308.00189}
}

@article{Chefer2021,
    title = {{Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers}},
    year = {2021},
    author = {Chefer, Hila and Gur, Shir and Wolf, Lior},
    pages = {397--406},
    url = {http://arxiv.org/abs/2103.15679},
    arxivId = {2103.15679}
}

@inproceedings{Lacoste2023,
    title = {{GEO-Bench: Toward Foundation Models for Earth Monitoring}},
    year = {2023},
    booktitle = {Advances in Neural Information Processing Systems},
    author = {Lacoste, Alexandre and Kerner, Hannah and Sherwin, Evan David and Dao, David},
    number = {NeurIPS},
    pages = {1--21},
    arxivId = {arXiv:2306.03831v2}
}

@article{Sun2019d,
    title = {{GEOCAPSNET: Ground to aerial view image geo-localization using capsule network}},
    year = {2019},
    journal = {Proceedings - IEEE International Conference on Multimedia and Expo},
    author = {Sun, Bin and Chen, Chen and Zhu, Yingying and Jiang, Jianmin},
    pages = {742--747},
    volume = {2019-July},
    isbn = {9781538695524},
    doi = {10.1109/ICME.2019.00133},
    issn = {1945788X},
    arxivId = {arXiv:1904.06281v1},
    keywords = {Batch hard-mining, Capsule network, Cross-view image matching, Image geo-localization}
}

@article{Qazi2020,
    title = {{GeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information}},
    year = {2020},
    author = {Qazi, Umair and Imran, Muhammad and Ofli, Ferda},
    pages = {1--3},
    url = {http://arxiv.org/abs/2005.11177},
    arxivId = {2005.11177}
}

@article{Faisal2022,
    title = {{Geographic and Geopolitical Biases of Language Models}},
    year = {2022},
    author = {Faisal, Fahim and Anastasopoulos, Antonios},
    url = {http://arxiv.org/abs/2212.10408},
    arxivId = {2212.10408}
}

@article{VanDraanen2020,
    title = {{Geographic differences in cannabis conversations on twitter: Infodemiology study}},
    year = {2020},
    journal = {JMIR Public Health and Surveillance},
    author = {van Draanen, Jenna and Tao, Hao Dong and Gupta, Saksham and Liu, Sam},
    number = {4},
    volume = {6},
    doi = {10.2196/18540},
    issn = {23692960},
    keywords = {cannabis, marijuana, sentiment, social media, twitter}
}

@inproceedings{Manvi2024,
    title = {{GEOLLM: EXTRACTING GEOSPATIAL KNOWLEDGE FROM LARGE LANGUAGE MODELS}},
    year = {2024},
    booktitle = {12th International Conference on Learning Representations, ICLR 2024},
    author = {Manvi, Rohin and Khanna, Samar and Mai, Gengchen and Burke, Marshall and Lobell, David and Ermon, Stefano},
    pages = {1--17},
    arxivId = {2310.06213}
}

@article{Jurgens2015,
    title = {{Geolocation prediction in twitter using social networks: A critical analysis and review of current practice}},
    year = {2015},
    journal = {Proceedings of the 9th International Conference on Web and Social Media, ICWSM 2015},
    author = {Jurgens, David and Finethy, Tyler and McCorriston, James and Xu, Yi Tian and Ruths, Derek},
    pages = {188--197},
    isbn = {9781577357339}
}

@article{Wojatzki2017,
    title = {{GermEval 2017: Shared Task on Aspect-based Sentiment in Social Media Customer Feedback}},
    year = {2017},
    journal = {Proceedings of the GSCL GermEval Shared Task on Aspect-based Sentiment in Social Media Customer Feedback},
    author = {Wojatzki, Michael and Ruppert, Eugen and Holschneider, Sarah and Zesch, Torsten and Biemann, Chris and CogSci, Appl},
    pages = {1--12},
    url = {http://www.ltl.uni-due.de/http://lt.informatik.uni-hamburg.de}
}

@article{Thomas2006,
    title = {{Get out the vote: Determining support or opposition from Congressional floor-debate transcripts}},
    year = {2006},
    journal = {COLING/ACL 2006 - EMNLP 2006: 2006 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference},
    author = {Thomas, Matt and Pang, Bo and Lee, Lillian},
    pages = {327--335},
    isbn = {1932432736},
    arxivId = {cs/0607062}
}

@inproceedings{Si2023,
    title = {{Getting MoRE out of Mixture of Language Model Reasoning Experts}},
    year = {2023},
    booktitle = {EMNLP},
    author = {Si, Chenglei and Shi, Weijia and Zhao, Chen and Zettlemoyer, Luke and Boyd-Graber, Jordan},
    pages = {8234--8249},
    doi = {10.18653/v1/2023.findings-emnlp.552},
    arxivId = {2305.14628}
}

@article{Wang2022b,
    title = {{GIT: A Generative Image-to-text Transformer for Vision and Language}},
    year = {2022},
    author = {Wang, Jianfeng and Yang, Zhengyuan and Hu, Xiaowei and Li, Linjie and Lin, Kevin and Gan, Zhe and Liu, Zicheng and Liu, Ce and Wang, Lijuan},
    pages = {1--49},
    volume = {2},
    url = {http://arxiv.org/abs/2205.14100},
    arxivId = {2205.14100}
}

@article{Du2021a,
    title = {{GLaM: Efficient Scaling of Language Models with Mixture-of-Experts}},
    year = {2021},
    author = {Du, Nan and Huang, Yanping and Dai, Andrew M. and Tong, Simon and Lepikhin, Dmitry and Xu, Yuanzhong and Krikun, Maxim and Zhou, Yanqi and Yu, Adams Wei and Firat, Orhan and Zoph, Barret and Fedus, Liam and Bosma, Maarten and Zhou, Zongwei and Wang, Tao and Wang, Yu Emma and Webster, Kellie and Pellat, Marie and Robinson, Kevin and Meier-Hellstern, Kathy and Duke, Toju and Dixon, Lucas and Zhang, Kun and Le, Quoc V and Wu, Yonghui and Chen, Zhifeng and Cui, Claire},
    url = {http://arxiv.org/abs/2112.06905},
    arxivId = {2112.06905}
}

@article{Imani2023,
    title = {{Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages}},
    year = {2023},
    author = {Imani, Ayyoob and Lin, Peiqin and Kargaran, Amir Hossein and Severini, Silvia and Sabet, Masoud Jalili and Kassner, Nora and Ma, Chunlan and Schmid, Helmut and Martins, André F. T. and Yvon, François and Sch{\"{u}}tze, Hinrich},
    pages = {11016--11051},
    volume = {1},
    url = {http://arxiv.org/abs/2305.12182},
    arxivId = {2305.12182}
}

@article{Pennington2014,
    title = {{GloVe: Global Vectors for Word Representation}},
    year = {2014},
    journal = {Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing},
    author = {Pennington, Jeffrey and Socher, Richard and Manning, Christopher D},
    pages = {1532--1543},
    isbn = {9781937284961},
    doi = {10.3115/v1/D14-1162},
    issn = {10495258},
    pmid = {1710995},
    arxivId = {1504.06654}
}

@article{Ying2020,
    title = {{GNNExplainer: Generating Explanations for Graph Neural Networks}},
    year = {2020},
    journal = {Advance in Neural Information Processing System},
    author = {Ying, Rex and Bourgeois, Dylan and You, Jiaxuan and Zitnik, Marinka and Leskovec, Jure}
}

@article{Demszky2020,
    title = {{GoEmotions: A Dataset of Fine-Grained Emotions}},
    year = {2020},
    author = {Demszky, Dorottya and Movshovitz-Attias, Dana and Ko, Jeongwoo and Cowen, Alan and Nemade, Gaurav and Ravi, Sujith},
    pages = {4040--4054},
    doi = {10.18653/v1/2020.acl-main.372},
    arxivId = {2005.00547}
}

@inproceedings{Szegedy2014a,
    title = {{Going deeper with convolutions}},
    year = {2015},
    booktitle = {Proceedings of the IEEE conference on computer vision and pattern recognition},
    author = {Szegedy, Christian and Reed, Scott and Sermanet, Pierre and Vanhoucke, Vincent and Rabinovich, Andrew},
    arxivId = {1409.4842v1}
}

@inproceedings{Szegedy2015,
    title = {{Going Deeper with Convolutions}},
    year = {2015},
    booktitle = {CVPR},
    author = {Szegedy, Christian and Liu, Wei and Jia1, Yangqing and Sermanet, Pierre and Reed, Scott and Anguelov, Dragomir and Erhan, Dumitru and Vanhoucke, Vincent and Rabinovich, Andrew},
    doi = {10.1002/jctb.4820},
    issn = {10974660}
}

@article{Scheible2020,
    title = {{GottBERT: a pure German Language Model}},
    year = {2020},
    author = {Scheible, Raphael and Thomczyk, Fabian and Tippmann, Patric and Jaravine, Victor and Boeker, Martin},
    url = {http://arxiv.org/abs/2012.02110},
    issn = {23318422},
    arxivId = {2012.02110}
}

@article{OpenAI2023,
    title = {{GPT-4 Technical Report}},
    year = {2023},
    author = {{OpenAI}},
    pages = {1--100},
    volume = {4},
    url = {http://arxiv.org/abs/2303.08774},
    arxivId = {2303.08774}
}

@article{Sung2025,
    title = {{GRACE: A Granular Benchmark for Evaluating Model Calibration against Human Calibration}},
    year = {2025},
    author = {Sung, Yoo Yeon and Fleisig, Eve and Hou, Yu and Upadhyay, Ishan and Boyd-Graber, Jordan Lee},
    url = {http://arxiv.org/abs/2502.19684},
    arxivId = {2502.19684}
}

@inproceedings{ICLR2021a,
    title = {{Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models}},
    year = {2021},
    booktitle = {ICLR submission},
    author = {{Anonymous}}
}

@article{lecun1998gradient,
    title = {{Gradient-based learning applied to document recognition}},
    year = {1998},
    journal = {Proceedings of the IEEE},
    author = {LeCun, Yann and Bottou, Léon and Bengio, Yoshua and Haffner, Patrick},
    number = {11},
    pages = {2278--2324},
    volume = {86},
    publisher = {Ieee}
}

@article{Lawes2022,
    title = {{Graincast™: monitoring crop production across the Australian grainbelt}},
    year = {2022},
    journal = {Crop and Pasture Science},
    author = {Lawes, R. and Hochman, Z. and Jakku, E. and Butler, R. and Chai, J. and Chen, Y. and Waldner, F. and Mata, G. and Donohue, R.},
    doi = {10.1071/cp21386},
    issn = {1836-0947},
    keywords = {application programming interface, big data analytics, crop modelling, integrated land, integrated land management, land use mapping, management, participatory research, remote sensing, user centred design}
}

@article{Alam2018c,
    title = {{Graph based semi-supervised learning with convolution neural networks to classify crisis related tweets}},
    year = {2018},
    journal = {12th International AAAI Conference on Web and Social Media, ICWSM 2018},
    author = {Alam, Firoj and Joty, Shafiq and Imran, Muhammad},
    pages = {556--559},
    isbn = {9781577357988},
    arxivId = {1805.06289}
}

@article{Hu2020b,
    title = {{Graph neural news recommendation with long-term and short-term interest modeling}},
    year = {2020},
    journal = {Information Processing and Management},
    author = {Hu, Linmei and Li, Chen and Shi, Chuan and Yang, Cheng and Shao, Chao},
    number = {2},
    volume = {57},
    doi = {10.1016/j.ipm.2019.102142},
    issn = {03064573},
    arxivId = {1910.14025},
    keywords = {Graph neural networks, Long-term interest, News recommendation, Short-term interest}
}

@inproceedings{Besta2023,
    title = {{Graph of Thoughts: Solving Elaborate Problems with Large Language Models}},
    year = {2024},
    booktitle = {AAAI},
    author = {Besta, Maciej and Blach, Nils and Kubicek, Ales and Gerstenberger, Robert and Gianinazzi, Lukas and Gajda, Joanna and Lehmann, Tomasz and Podstawski, Michal and Niewiadomski, Hubert and Nyczyk, Piotr and Hoefler, Torsten},
    url = {http://arxiv.org/abs/2308.09687},
    arxivId = {2308.09687}
}

@article{Hamilton2019,
    title = {{Graph Representation Learning Quebec Institute for Learning Algorithms ( Mila )}},
    year = {2019},
    journal = {Aaai Tutorial},
    author = {Hamilton, William L and Jian, Tang},
    url = {https://jian-tang.com/files/AAAI19/aaai-grltutorial-part0-intro.pdf}
}

@article{Li2022a,
    title = {{GraphCFC: A Directed Graph based Cross-modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition}},
    year = {2023},
    journal = {IEEE Transactions on Multimedia},
    author = {Li, Jiang and Wang, Xiaoping and Lv, Guoqing and Zeng, Zhigang},
    pages = {1--13},
    arxivId = {arXiv:2207.12261v2}
}

@article{Yang2021,
    title = {{GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph}},
    year = {2021},
    journal = {NEURIPS},
    author = {Yang, Junhan and Liu, Zheng and Xiao, Shitao and Li, Chaozhuo and Lian, Defu and Agrawal, Sanjay and Singh, Amit and Sun, Guangzhong and Xie, Xing},
    pages = {1--12},
    url = {http://arxiv.org/abs/2105.02605},
    arxivId = {2105.02605}
}

@book{Agarwal2022,
    title = {{GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates}},
    year = {2022},
    booktitle = {WWW 2022 - Proceedings of the ACM Web Conference 2022},
    author = {Agarwal, Vibhor and Joglekar, Sagar and Young, Anthony P. and Sastry, Nishanth},
    number = {1},
    pages = {2729--2737},
    volume = {1},
    publisher = {Association for Computing Machinery},
    isbn = {9781450390965},
    doi = {10.1145/3485447.3512144},
    arxivId = {2202.08175},
    keywords = {Kialo, Online debates, argument mining, polarity prediction}
}

@article{Du2020,
    title = {{GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction}},
    year = {2021},
    journal = {ACL},
    author = {Du, Xinya and Rush, Alexander M. and Cardie, Claire},
    pages = {634--644},
    url = {http://arxiv.org/abs/2008.09249},
    arxivId = {2008.09249}
}

@article{Li2021b,
    title = {{Grounded Language-Image Pre-training}},
    year = {2021},
    author = {Li, Liunian Harold and Zhang, Pengchuan and Zhang, Haotian and Yang, Jianwei and Li, Chunyuan and Zhong, Yiwu and Wang, Lijuan and Yuan, Lu and Zhang, Lei and Hwang, Jenq-Neng and Chang, Kai-Wei and Gao, Jianfeng},
    volume = {1},
    url = {http://arxiv.org/abs/2112.03857},
    arxivId = {2112.03857}
}

@article{DAndrimont2020,
    title = {{Harmonised LUCAS in-situ land cover and use database for field surveys from 2006 to 2018 in the European Union}},
    year = {2020},
    journal = {Scientific Data},
    author = {d’Andrimont, Raphaël and Yordanov, Momchil and Martinez-Sanchez, Laura and Eiselt, Beatrice and Palmieri, Alessandra and Dominici, Paolo and Gallego, Javier and Reuter, Hannes Isaak and Joebges, Christian and Lemoine, Guido and van der Velde, Marijn},
    number = {1},
    pages = {1--15},
    volume = {7},
    isbn = {4159702000675},
    doi = {10.1038/s41597-020-00675-z},
    issn = {20524463},
    pmid = {33067440}
}

@article{Sanguinetti2020,
    title = {{HaSpeeDe 2 @ EVALITA2020: Overview of the EVALITA 2020 hate speech detection task}},
    year = {2020},
    journal = {CEUR Workshop Proceedings},
    author = {Sanguinetti, Manuela and Comandini, Gloria and di Nuovo, Elisa and Frenda, Simona and Stranisci, Marco and Bosco, Cristina and Caselli, Tommaso and Patti, Viviana and Russo, Irene},
    volume = {2765},
    issn = {16130073}
}

@inproceedings{Waseem2016,
    title = {{Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter}},
    year = {2016},
    booktitle = {NAACL-HLT 2016},
    author = {Waseem, Zeerak and Hovy, Dirk},
    pages = {88--93},
    doi = {10.18653/v1/n16-2013}
}

@article{Mathew2020,
    title = {{HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection}},
    year = {2021},
    journal = {AAAI},
    author = {Mathew, Binny and Saha, Punyajoy and Yimam, Seid Muhie and Biemann, Chris and Goyal, Pawan and Mukherjee, Animesh},
    url = {http://arxiv.org/abs/2012.10289},
    arxivId = {2012.10289}
}

@article{Naous2024,
    title = {{Having Beer after Prayer? Measuring Cultural Bias in Large Language Models}},
    year = {2024},
    journal = {ACL},
    author = {Naous, Tarek and Ryan, Michael J and Ritter, Alan and Xu, Wei},
    url = {http://arxiv.org/abs/2305.14456},
    arxivId = {2305.14456}
}

@article{Liu2021a,
    title = {{HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization}},
    year = {2021},
    author = {Liu, Ye and Zhang, Jianguo and Wan, Yao and Xia, Congying and He, Lifang and Yu, Philip},
    pages = {146--154},
    doi = {10.18653/v1/2021.emnlp-main.13},
    arxivId = {2110.06388}
}

@misc{caucheteux2023hierarchical,
    title = {{Hierarchical organization of language predictions in the brain}},
    year = {2023},
    booktitle = {NATURE HUMAN BEHAVIOUR},
    author = {Caucheteux, Charlotte and Gramfort, Alexandre and King, Jean-Remi},
    number = {3},
    pages = {308--309},
    volume = {7},
    publisher = {NATURE PORTFOLIO HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY}
}

@inproceedings{Chapuis2020,
    title = {{Hierarchical Pre-training for Sequence Labelling in Spoken Dialog}},
    year = {2020},
    booktitle = {EMNLP},
    author = {Chapuis, Emile and Colombo, Pierre and Manica, Matteo and Labeau, Matthieu and Clavel, Chloé},
    pages = {2636--2648},
    doi = {10.18653/v1/2020.findings-emnlp.239},
    arxivId = {2009.11152}
}

@misc{HPWREN2023,
    title = {{High Performance Wireless Research {\&} Education Network}},
    year = {2023},
    booktitle = {accessed in 2023},
    author = {{HPWREN}},
    url = {http://hpwren.ucsd.edu/cameras/}
}

@article{Cahyawijaya2024,
    title = {{High-Dimension Human Value Representation in Large Language Models}},
    year = {2024},
    author = {Cahyawijaya, Samuel and Chen, Delong and Bang, Yejin and Khalatbari, Leila and Wilie, Bryan and Ji, Ziwei and Ishii, Etsuko and Fung, Pascale},
    url = {http://arxiv.org/abs/2404.07900},
    arxivId = {2404.07900}
}

@article{Liang2022b,
    title = {{High-Modality Multimodal Transformer: Quantifying Modality {\&} Interaction Heterogeneity for High-Modality Representation Learning}},
    year = {2023},
    journal = {Transactions on Machine Learning Research},
    author = {Liang, Paul Pu and Lyu, Yiwei and Fan, Xiang and Tsaw, Jeffrey and Liu, Yudong and Mo, Shentong and Yogatama, Dani and Morency, Louis-Philippe and Salakhutdinov, Ruslan},
    number = {1},
    url = {http://arxiv.org/abs/2203.01311},
    arxivId = {2203.01311}
}

@article{Rombach2021,
    title = {{High-Resolution Image Synthesis with Latent Diffusion Models}},
    year = {2022},
    journal = {CVPR},
    author = {Rombach, Robin and Blattmann, Andreas and Lorenz, Dominik and Esser, Patrick and Ommer, Björn},
    url = {http://arxiv.org/abs/2112.10752},
    arxivId = {2112.10752}
}

@inproceedings{Hemamou2019,
    title = {{HireNet : a Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews}},
    year = {2019},
    booktitle = {AAAI},
    author = {Hemamou, Leo and Felhi, Ghazi and Vandenbussche, Vincent and Martin, Jean-claude and Clavel, Chloe}
}

@article{Li2021,
    title = {{HiTrans: A Transformer-Based Context- and Speaker-Sensitive Model for Emotion Detection in Conversations}},
    year = {2021},
    author = {Li, Jingye and Ji, Donghong and Li, Fei and Zhang, Meishan and Liu, Yijiang},
    pages = {4190--4200},
    doi = {10.18653/v1/2020.coling-main.370}
}

@article{Hasan2021a,
    title = {{Hitting your MARQ: Multimodal ARgument Quality Assessment in Long Debate Video}},
    year = {2021},
    journal = {EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings},
    author = {Hasan, Md Kamrul and Spann, James and Hasan, Masum and Islam, Md Saiful and Haut, Kurtis and Mihalcea, Rada and Hoque, Ehsan},
    pages = {6387--6397},
    isbn = {9781955917094},
    doi = {10.18653/v1/2021.emnlp-main.515}
}

@article{Yang2018c,
    title = {{Hotpotqa: A dataset for diverse, explainable multi-hop question answering}},
    year = {2018},
    journal = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018},
    author = {Yang, Zhilin and Qi, Peng and Zhang, Saizheng and Bengio, Yoshua and Cohen, William W. and Salakhutdinov, Ruslan and Manning, Christopher D.},
    pages = {2369--2380},
    isbn = {9781948087841},
    doi = {10.18653/v1/d18-1259},
    arxivId = {1809.09600}
}

@article{Beck2023,
    title = {{How (Not) to Use Sociodemographic Information for Subjective NLP Tasks}},
    year = {2023},
    author = {Beck, Tilman and Schuff, Hendrik and Lauscher, Anne and Gurevych, Iryna},
    url = {http://arxiv.org/abs/2309.07034},
    arxivId = {2309.07034}
}

@article{Jesus2021,
    title = {{How can i choose an explainer?: An Application-grounded Evaluation of Post-hoc Explanations}},
    year = {2021},
    journal = {FAccT 2021 - Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency},
    author = {Jesus, Sérgio and Bel{\'{e}}m, Catarina and Balayan, Vladimir and Bento, João and Saleiro, Pedro and Bizarro, Pedro and Gama, João},
    pages = {805--815},
    isbn = {9781450383097},
    doi = {10.1145/3442188.3445941},
    arxivId = {2101.08758},
    keywords = {Evaluation, Explainability, LIME, SHAP, User Study, XAI}
}

@article{Abbott2011,
    title = {{How can you say such things?!?: recognizing disagreement in informal political argument}},
    year = {2011},
    journal = {Proceedings of the Workshop on Languages in Social Media},
    author = {Abbott, Rob and Walker, Marilyn and Anand, Pranav and Fox Tree, Jean E and Bowmani, Robeson and King, Joseph},
    pages = {2--11},
    url = {http://dl.acm.org/citation.cfm?id=2021109.2021111},
    isbn = {978-1-932432-96-1}
}

@article{Barriere2021,
    title = {{How does a pre-trained transformer integrate contextual keywords? Application to humanitarian computing}},
    year = {2021},
    journal = {Proceedings of the International ISCRAM Conference},
    author = {Barriere, Valentin and Jacquet, Guillaume},
    number = {May},
    pages = {766--771},
    volume = {2021-May},
    isbn = {9781949373615},
    issn = {24113387},
    keywords = {Contextual keywords, Humanitarian computing, Transformers}
}

@article{Wang2023g,
    title = {{How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources}},
    year = {2023},
    journal = {Advances in Neural Information Processing Systems},
    author = {Wang, Yizhong and Ivison, Hamish and Dasigi, Pradeep and Hessel, Jack and Khot, Tushar and Chandu, Khyathi Raghavi and Wadden, David and MacMillan, Kelsey and Smith, Noah A. and Beltagy, Iz and Hajishirzi, Hannaneh},
    number = {NeurIPS},
    volume = {36},
    issn = {10495258},
    arxivId = {2306.04751}
}

@article{Hayati2023,
    title = {{How Far Can We Extract Diverse Perspectives from Large Language Models?}},
    year = {2023},
    author = {Hayati, Shirley Anugrah and Lee, Minhwa and Rajagopal, Dheeraj and Kang, Dongyeop},
    url = {http://arxiv.org/abs/2311.09799},
    arxivId = {2311.09799}
}

@article{Orgad2022b,
    title = {{How Gender Debiasing Affects Internal Model Representations, and Why It Matters}},
    year = {2022},
    journal = {NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference},
    author = {Orgad, Hadas and Goldfarb-Tarrant, Seraphina and Belinkov, Yonatan},
    pages = {2602--2628},
    isbn = {9781955917711},
    doi = {10.18653/v1/2022.naacl-main.188},
    arxivId = {2204.06827}
}

@article{Varoquaux2021,
    title = {{How I failed machine learning in medical imaging - shortcomings and recommendations}},
    year = {2021},
    author = {Varoquaux, Gael and Cheplygina, Veronika},
    number = {Section III},
    pages = {1--10},
    arxivId = {arXiv:2103.10292v1}
}

@article{ShenCLIP2021,
    title = {{How Much Can CLIP Benefit Vision-and-Language Tasks ?}},
    year = {2021},
    author = {Shen, Sheng and Li, Liunian Harold and Tan, Hao and Bansal, Mohit and Rohrbach, Anna and Chang, Kai-Wei and Yao, Zhewei and Keutzer, Kurt},
    number = {Section 2},
    arxivId = {arXiv:2107.06383v1}
}

@article{Pires2020,
    title = {{How multilingual is multilingual BERT?}},
    year = {2020},
    journal = {ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Pires, Telmo and Schlinger, Eva and Garrette, Dan},
    pages = {4996--5001},
    isbn = {9781950737482},
    doi = {10.18653/v1/p19-1493},
    arxivId = {1906.01502}
}

@article{Xu2019b,
    title = {{How powerful are graph neural networks?}},
    year = {2019},
    journal = {7th International Conference on Learning Representations, ICLR 2019},
    author = {Xu, Keyulu and Jegelka, Stefanie and Hu, Weihua and Leskovec, Jure},
    pages = {1--17},
    arxivId = {1810.00826}
}

@article{Mozetic2018,
    title = {{How to evaluate sentiment classifiers for Twitter time-ordered data?}},
    year = {2018},
    journal = {PLoS ONE},
    author = {Mozeti{\v{c}}, Igor and Torgo, Luis and Cerqueira, Vitor and Smailovi{\'{c}}, Jasmina},
    number = {3},
    pages = {1--20},
    volume = {13},
    isbn = {1111111111},
    doi = {10.1371/journal.pone.0194317},
    issn = {19326203},
    pmid = {29534112},
    arxivId = {1803.05160}
}

@article{Sun2019b,
    title = {{How to Fine-Tune BERT for Text Classification?}},
    year = {2019},
    journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    author = {Sun, Chi and Qiu, Xipeng and Xu, Yige and Huang, Xuanjing},
    number = {2},
    pages = {194--206},
    volume = {11856 LNAI},
    isbn = {9783030323806},
    doi = {10.1007/978-3-030-32381-3{\_}16},
    issn = {16113349},
    arxivId = {1905.05583},
    keywords = {BERT, Text classification, Transfer learning}
}

@article{Weber2020b,
    title = {{How to Win Arguments: Empowering Virtual Agents to Improve Their Persuasiveness}},
    year = {2020},
    journal = {Datenbank-Spektrum},
    author = {Weber, Klaus and Rach, Niklas and Minker, Wolfgang and Andr{\'{e}}, Elisabeth},
    number = {2},
    pages = {161--169},
    volume = {20},
    doi = {10.1007/s13222-020-00345-9},
    issn = {1618-2162},
    keywords = {adaptive agents, argumentation, persuasive dialog system, subliminal persuasion}
}

@article{Hardmeier2021,
    title = {{How to Write a Bias Statement: Recommendations for Submissions to the Workshop on Gender Bias in NLP}},
    year = {2021},
    author = {Hardmeier, Christian and Costa-juss{\`{a}}, Marta R. and Webster, Kellie and Radford, Will and Blodgett, Su Lin},
    pages = {1--4},
    url = {http://arxiv.org/abs/2104.03026},
    arxivId = {2104.03026}
}

@article{Mohammad2016,
    title = {{How translation alters sentiment}},
    year = {2016},
    journal = {Journal of Artificial Intelligence Research},
    author = {Mohammad, Saif M. and Salameh, Mohammad and Kiritchenko, Svetlana},
    pages = {95--130},
    volume = {55},
    doi = {10.1613/jair.4787},
    issn = {10769757}
}

@article{Hsu2021,
    title = {{HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units}},
    year = {2021},
    journal = {IEEE/ACM Transactions on Audio Speech and Language Processing},
    author = {Hsu, Wei Ning and Bolte, Benjamin and Tsai, Yao Hung Hubert and Lakhotia, Kushal and Salakhutdinov, Ruslan and Mohamed, Abdelrahman},
    number = {Cv},
    pages = {3451--3460},
    volume = {29},
    doi = {10.1109/TASLP.2021.3122291},
    issn = {23299304},
    arxivId = {2106.07447},
    keywords = {BERT, Self-supervised learning}
}

@article{Wolf2019,
    title = {{HuggingFace's Transformers: State-of-the-art Natural Language Processing}},
    year = {2019},
    author = {Wolf, Thomas and Debut, Lysandre and Sanh, Victor and Chaumond, Julien and Delangue, Clement and Moi, Anthony and Cistac, Pierric and Rault, Tim and Louf, Rémi and Funtowicz, Morgan and Brew, Jamie},
    url = {http://arxiv.org/abs/1910.03771},
    arxivId = {1910.03771}
}

@article{Shen2023,
    title = {{HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face}},
    year = {2023},
    journal = {Advances in Neural Information Processing Systems},
    author = {Shen, Yongliang and Song, Kaitao and Tan, Xu and Li, Dongsheng and Lu, Weiming and Zhuang, Yueting},
    number = {NeurIPS},
    pages = {1--27},
    volume = {36},
    issn = {10495258},
    arxivId = {2303.17580}
}

@article{Alam2021a,
    title = {{HumAID: Human-Annotated Disaster Incidents Data from Twitter}},
    year = {2021},
    author = {Alam, Firoj and Qazi, Umair and Imran, Muhammad and Ofli, Ferda},
    url = {http://arxiv.org/abs/2104.03090},
    arxivId = {2104.03090}
}

@inproceedings{Geng2023,
    title = {{Human Pose as Compositional Tokens}},
    year = {2023},
    booktitle = {CVPR},
    author = {Geng, Zigang and Wang, Chunyu and Wei, Yixuan and Liu, Ze and Li, Houqiang and Hu, Han},
    pages = {660--671},
    doi = {10.1109/cvpr52729.2023.00071},
    arxivId = {2303.11638}
}

@article{Nangia2020,
    title = {{Human vs. Muppet: A conservative estimate of human performance on the GLUE benchmark}},
    year = {2020},
    journal = {ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Nangia, Nikita and Bowman, Samuel R.},
    pages = {4566--4575},
    isbn = {9781950737482},
    doi = {10.18653/v1/p19-1449},
    arxivId = {1905.10425}
}

@inproceedings{Kim2018,
    title = {{HUMAN-LIKE EMOTION RECOGNITION : MULTI-LABEL LEARNING FROM NOISY LABELED AUDIO-VISUAL EXPRESSIVE SPEECH}},
    year = {2018},
    booktitle = {ICASSP},
    author = {Kim, Yelin and Kim, Jeesun},
    pages = {5104--5108},
    isbn = {9781538646588}
}

@inproceedings{Kim2018b,
    title = {{HUMAN-LIKE EMOTION RECOGNITION : MULTI-LABEL LEARNING FROM NOISY LABELED AUDIO-VISUAL EXPRESSIVE SPEECH}},
    year = {2018},
    booktitle = {ICASSP},
    author = {Kim, Yelin and Kim, Jeesun},
    pages = {5104--5108},
    isbn = {9781538646588}
}

@article{Sharma2023,
    title = {{Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support}},
    year = {2023},
    journal = {Nature Machine Intelligence},
    author = {Sharma, Ashish and Lin, Inna W. and Miner, Adam S. and Atkins, David C. and Althoff, Tim},
    number = {1},
    pages = {46--57},
    volume = {5},
    doi = {10.1038/s42256-022-00593-2},
    issn = {25225839},
    arxivId = {2203.15144}
}

@inproceedings{Barriere2017b,
    title = {{Hybrid Models for Opinion Analysis in Speech Interactions}},
    year = {2017},
    booktitle = {ICMI},
    author = {Barriere, Valentin},
    pages = {647--651},
    isbn = {9781450355438},
    keywords = {acm reference format, conditional random, feature functions, fields, interactions, linguistic patterns, multimodal opinion mining, word embedding}
}

@article{Zhou2021,
    title = {{iBOT: Image BERT Pre-Training with Online Tokenizer}},
    year = {2021},
    author = {Zhou, Jinghao and Wei, Chen and Wang, Huiyu and Shen, Wei and Xie, Cihang and Yuille, Alan and Kong, Tao},
    pages = {1--29},
    url = {http://arxiv.org/abs/2111.07832},
    arxivId = {2111.07832}
}

@inproceedings{Hazarika2018ICON,
    title = {{ICON : Interactive Conversational Memory Network for Multimodal Emotion Detection}},
    year = {2018},
    booktitle = {EMNLP},
    author = {Hazarika, Devamanyu and Poria, Soujanya and Mihalcea, Rada and Cambria, Erik and Zimmermann, Roger},
    pages = {2594--2604}
}

@article{Garg,
    title = {{Identifying and Measuring Token-Level Sentiment Bias in Pre-trained Language Models with Prompts Anonymous ACL submission}},
    author = {Garg, Apoorv and Srivastava, Deval and Xu, Zhiyang and Huang, Lifu and Tech, Virginia},
    arxivId = {arXiv:2204.07289v1}
}

@article{Li2019a,
    title = {{Identifying disaster damage images using a domain adaptation approach}},
    year = {2019},
    journal = {Proceedings of the International ISCRAM Conference},
    author = {Li, Xukun and Caragea, Cornelia and Caragea, Doina and Imran, Muhammad and Ofli, Ferda},
    number = {May 2019},
    pages = {633--645},
    volume = {2019-May},
    isbn = {9788409104987},
    issn = {24113387},
    keywords = {Disaster damage, Domain adaptation, Domain adversarial neural networks, Image classification}
}

@article{Dufter2020b,
    title = {{Identifying Necessary Elements for BERT’s Multilinguality}},
    year = {2020},
    journal = {arXiv},
    author = {Dufter, Philipp and Sch{\"{u}}tze, Hinrich},
    arxivId = {2005.00396}
}

@article{Pajupuu2016,
    title = {{Identifying polarity in different text types}},
    year = {2016},
    journal = {Folklore (Estonia)},
    author = {Pajupuu, Hille and Altrov, Rene and Pajupuu, Jaan},
    pages = {125--142},
    volume = {64},
    doi = {10.7592/FEJF2016.64.polarity},
    issn = {14060949},
    keywords = {Lexicon-based approach, Machine learning approach, Na{\"{i}}ve bayes, Polarity, SVM, Sentiment analysis, Text types}
}

@article{Waller2023,
    title = {{Identifying Reasons for Bias: An Argumentation-Based Approach}},
    year = {2023},
    author = {Waller, Madeleine and Rodrigues, Odinaldo and Cocarascu, Oana},
    url = {http://arxiv.org/abs/2310.16506},
    arxivId = {2310.16506}
}

@article{Kiesel2022,
    title = {{Identifying the Human Values behind Arguments}},
    year = {2022},
    journal = {Acl},
    author = {Kiesel, Johannes and Weimar, Bauhaus-universität and Handke, Nicolas and Weimar, Bauhaus-universität}
}

@article{Klinger2019,
    title = {{IEST: WASSA-2018 Implicit Emotions Shared Task}},
    year = {2019},
    author = {Klinger, Roman and De Clercq, Orphée and Mohammad, Saif and Balahur, Alexandra},
    pages = {31--42},
    doi = {10.18653/v1/w18-6206},
    arxivId = {1809.01083}
}

@article{Luddecke2022,
    title = {{Image Segmentation Using Text and Image Prompts}},
    year = {2022},
    author = {Luddecke, Timo and Ecker, Alexander},
    pages = {7076--7086},
    isbn = {9781665469463},
    doi = {10.1109/cvpr52688.2022.00695},
    issn = {10636919},
    arxivId = {2112.10003}
}

@inproceedings{Alam2017,
    title = {{Image4Act: Online social media image processing for disaster response}},
    year = {2017},
    booktitle = {Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017},
    author = {Alam, Firoj and Imran, Muhammad and Ofli, Ferda},
    pages = {601--604},
    isbn = {9781450349932},
    doi = {10.1145/3110025.3110164}
}

@inproceedings{Krizhevsky2012,
    title = {{ImageNet Classification with Deep Convolutional Neural Networks}},
    year = {2012},
    booktitle = {Nips},
    author = {Krizhevsky, Alex and Sutskever, Ilya and Hinton, Geoffrey E.},
    isbn = {9780123741059},
    doi = {10.1016/B978-0-12-374105-9.00493-7}
}

@article{Russakovsky2015,
    title = {{ImageNet Large Scale Visual Recognition Challenge}},
    year = {2015},
    journal = {International Journal of Computer Vision},
    author = {Russakovsky, Olga and Deng, Jia and Su, Hao and Krause, Jonathan and Satheesh, Sanjeev and Ma, Sean and Huang, Zhiheng and Karpathy, Andrej and Khosla, Aditya and Bernstein, Michael and Berg, Alexander C. and Fei-Fei, Li},
    number = {3},
    pages = {211--252},
    volume = {115},
    doi = {10.1007/s11263-015-0816-y},
    issn = {15731405},
    arxivId = {1409.0575},
    keywords = {Benchmark, Dataset, Large-scale, Object detection, Object recognition}
}

@inproceedings{Ridnik2021,
    title = {{ImageNet-21K Pretraining for the Masses}},
    year = {2021},
    booktitle = {NeurIPS},
    author = {Ridnik, Tal and Ben-Baruch, Emanuel and Noy, Asaf and Zelnik-Manor, Lihi},
    pages = {1--12},
    url = {http://arxiv.org/abs/2104.10972},
    arxivId = {2104.10972}
}

@inproceedings{Deng2009,
    title = {{ImageNet: A Large-Scale Hierarchical Image Database}},
    year = {2009},
    booktitle = {2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009},
    author = {Deng, Jia and Dong, Wei and Socher, Richard and Li, Li Jia and Li, Kai and Fei-Fei, Li},
    pages = {248--255},
    publisher = {IEEE},
    isbn = {9781424439911},
    doi = {10.1109/CVPR.2009.5206848}
}

@article{Huang2019,
    title = {{Image–text sentiment analysis via deep multimodal attentive fusion}},
    year = {2019},
    journal = {Knowledge-Based Systems},
    author = {Huang, Feiran and Zhang, Xiaoming and Zhao, Zhonghua and Xu, Jie and Li, Zhoujun},
    pages = {26--37},
    volume = {167},
    doi = {10.1016/j.knosys.2019.01.019},
    issn = {09507051},
    keywords = {Attention model, Fusion, Multimodal learning, Sentiment analysis}
}

@article{Huang2019a,
    title = {{Image–text sentiment analysis via deep multimodal attentive fusion}},
    year = {2019},
    journal = {Knowledge-Based Systems},
    author = {Huang, Feiran and Zhang, Xiaoming and Zhao, Zhonghua and Xu, Jie and Li, Zhoujun},
    pages = {26--37},
    volume = {167},
    doi = {10.1016/j.knosys.2019.01.019},
    issn = {09507051},
    keywords = {Attention model, Fusion, Multimodal learning, Sentiment analysis}
}

@article{reidmiller2017impacts,
    title = {{Impacts, risks, and adaptation in the United States: Fourth national climate assessment, volume II}},
    year = {2018},
    author = {Reidmiller, David R and Avery, Christopher W and Easterling, David R and Kunkel, Kenneth E and Lewis, Kristin L M and Maycock, Thomas K and Stewart, Bradley C}
}

@article{Jing2020,
    title = {{Implicit Rank-Minimizing Autoencoder}},
    year = {2020},
    author = {Jing, Li and Zbontar, Jure and LeCun, Yann},
    number = {NeurIPS},
    url = {http://arxiv.org/abs/2010.00679},
    arxivId = {2010.00679}
}

@inproceedings{Li2021h,
    title = {{Implicit representations of meaning in neural language models}},
    year = {2021},
    booktitle = {ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference},
    author = {Li, Belinda Z and Nye, Maxwell and Andreas, Jacob},
    pages = {1813--1827},
    isbn = {9781954085527},
    doi = {10.18653/v1/2021.acl-long.143},
    arxivId = {2106.00737}
}

@inproceedings{Liu2023a,
    title = {{Improved Baselines with Visual Instruction Tuning}},
    year = {2023},
    booktitle = {Neurips},
    author = {Liu, Haotian and Li, Chunyuan and Li, Yuheng and Jae, Yong},
    arxivId = {arXiv:2310.03744v2}
}

@article{Giordano2020,
    title = {{Improved crop classification with rotation knowledge using sentinel-1 and -2 time series}},
    year = {2020},
    journal = {Photogrammetric Engineering and Remote Sensing},
    author = {Giordano, Sébastien and Bailly, Simon and Landrieu, Loic and Chehata, Nesrine},
    number = {7},
    pages = {431--441},
    volume = {86},
    doi = {10.14358/PERS.86.7.431},
    issn = {00991112}
}

@article{Inglada2016,
    title = {{Improved early crop type identification by joint use of high temporal resolution sar and optical image time series}},
    year = {2016},
    journal = {Remote Sensing},
    author = {Inglada, Jordi and Vincent, Arthur and Arias, Marcela and Marais-Sicre, Claire},
    number = {5},
    volume = {8},
    doi = {10.3390/rs8050362},
    issn = {20724292},
    keywords = {Crop type mapping, Land-cover, Landsat 8, Random Forests, Satellite image time series, Sentinel-1, Sentinel-2}
}

@article{Ren2023,
    title = {{Improving Compositional Generalization Using Iterated Learning and Simplicial Embeddings}},
    year = {2023},
    author = {Ren, Yi and Lavoie, Samuel and Galkin, Mikhail and Sutherland, Danica J. and Courville, Aaron},
    number = {NeurIPS},
    url = {http://arxiv.org/abs/2310.18777},
    arxivId = {2310.18777}
}

@inproceedings{Jiang2023,
    title = {{Improving Domain Generalization for Prompt-Aware Essay Scoring via Disentangled Representation Learning}},
    year = {2023},
    booktitle = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Jiang, Zhiwei and Gao, Tianyi and Yin, Yafeng and Liu, Meng and Yu, Hua and Cheng, Zifeng and Gu, Qing},
    pages = {12456--12470},
    volume = {1},
    isbn = {9781959429722},
    doi = {10.18653/v1/2023.acl-long.696},
    issn = {0736587X}
}

@article{Chen2022,
    title = {{Improving In-Context Few-Shot Learning via Self-Supervised Training}},
    year = {2022},
    author = {Chen, Mingda and Du, Jingfei and Pasunuru, Ramakanth and Mihaylov, Todor and Iyer, Srini and Stoyanov, Veselin and Kozareva, Zornitsa},
    number = {5},
    url = {http://arxiv.org/abs/2205.01703},
    arxivId = {2205.01703}
}

@article{Colombo2021a,
    title = {{Improving Multimodal fusion via Mutual Dependency Maximisation}},
    year = {2021},
    author = {Colombo, Pierre and Chapuis, Emile and Labeau, Matthieu and Clavel, Chloé},
    pages = {231--245},
    volume = {2},
    doi = {10.18653/v1/2021.emnlp-main.21},
    arxivId = {2109.00922}
}

@article{Sennrich2016,
    title = {{Improving neural machine translation models with monolingual data}},
    year = {2016},
    journal = {54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers},
    author = {Sennrich, Rico and Haddow, Barry and Birch, Alexandra},
    pages = {86--96},
    volume = {1},
    isbn = {9781510827585},
    doi = {10.18653/v1/p16-1009},
    arxivId = {1511.06709}
}

@article{Chi2021a,
    title = {{Improving pretrained cross-lingual language models via self-labeled word alignment}},
    year = {2021},
    journal = {ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference},
    author = {Chi, Zewen and Dong, Li and Zheng, Bo and Huang, Shaohan and Mao, Xian Ling and Huang, Heyan and Wei, Furu},
    pages = {3418--3430},
    isbn = {9781954085527},
    doi = {10.18653/v1/2021.acl-long.265},
    arxivId = {2106.06381}
}

@article{Balahur2013,
    title = {{Improving sentiment analysis in twitter using multilingual machine translated data}},
    year = {2013},
    journal = {International Conference Recent Advances in Natural Language Processing, RANLP},
    author = {Balahur, Alexandra and Turchi, Marco},
    number = {September},
    pages = {49--55},
    issn = {13138502}
}

@inproceedings{Barriere2020,
    title = {{Improving Sentiment Analysis over non-English Tweets using Multilingual Transformers and Automatic Translation for Data-Augmentation}},
    year = {2020},
    booktitle = {COLING},
    author = {Barriere, Valentin and Balahur, Alexandra}
}

@article{Bonthu2023,
    title = {{Improving the performance of automatic short answer grading using transfer learning and augmentation}},
    year = {2023},
    journal = {Engineering Applications of Artificial Intelligence},
    author = {Bonthu, Sridevi and Rama Sree, S. and Krishna Prasad, M. H.M.},
    number = {April},
    pages = {106292},
    volume = {123},
    publisher = {Elsevier Ltd},
    url = {https://doi.org/10.1016/j.engappai.2023.106292},
    doi = {10.1016/j.engappai.2023.106292},
    issn = {09521976},
    keywords = {ASAG, Augmentation, Backtranslation, Random deletion, Random swap, SBERT, SPRAG corpus, Synonym replacement, Transfer learning}
}

@inproceedings{Pikuliak2023,
    title = {{In-Depth Look at Word Filling Societal Bias Measures}},
    year = {2023},
    booktitle = {EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Pikuliak, Matúš and Beňov{\'{a}}, Ivana and Bachrat{\'{y}}, Viktor},
    number = {February},
    pages = {3630--3647},
    isbn = {9781959429449}
}

@article{song2017season,
    title = {{In-season crop mapping with GF-1/WFV data by combining object-based image analysis and random forest}},
    year = {2017},
    journal = {Remote Sensing},
    author = {Song, Qian and Hu, Qiong and Zhou, Qingbo and Hovis, Ciara and Xiang, Mingtao and Tang, Huajun and Wu, Wenbin},
    number = {11},
    pages = {1184},
    volume = {9},
    publisher = {MDPI}
}

@article{Weber2022Incidents,
    title = {{Incidents1M : a large-scale dataset of images with natural disasters , damage , and incidents}},
    year = {2022},
    journal = {Ieee Transactions on Pattern Analysis and Machine Intelligence},
    author = {Weber, Ethan and Papadopoulos, Dim P and Lapedriza, Agata and Ofli, Ferda and Imran, Muhammad and Torralba, Antonio},
    pages = {1--14},
    arxivId = {arXiv:2201.04236v1}
}

@article{Prakash2020,
    title = {{Incorporating Count-Based Features into Pre-Trained Models for Improved Stance Detection}},
    year = {2020},
    journal = {COLING},
    author = {Prakash, Anushka and Madabushi, Harish Tayyar},
    pages = {22--32},
    url = {http://arxiv.org/abs/2010.09078},
    arxivId = {2010.09078}
}

@article{Singh2019,
    title = {{Incorporating emoji descriptions improves tweet classification}},
    year = {2019},
    journal = {NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference},
    author = {Singh, Abhishek and Blanco, Eduardo and Jin, Wei},
    pages = {2096--2101},
    volume = {1},
    isbn = {9781950737130},
    doi = {10.18653/v1/n19-1214}
}

@article{sakamoto2020incorporating,
    title = {{Incorporating environmental variables into a MODIS-based crop yield estimation method for United States corn and soybeans through the use of a random forest regression algorithm}},
    year = {2020},
    journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
    author = {Sakamoto, Toshihiro},
    pages = {208--228},
    volume = {160},
    publisher = {Elsevier}
}

@article{Ward2017,
    title = {{Inferring Stance From Prosody}},
    year = {2017},
    journal = {Interspeech},
    author = {Ward, Nigel G and Carlson, Jason C. and Fuentes, Olac and Castan, Diego and Shriberg, Elizbeth E. and Tsiartas, A.},
    pages = {0--4}
}

@article{Colombo2021,
    title = {{InfoLM: A New Metric to Evaluate Summarization {\&} Data2Text Generation}},
    year = {2022},
    journal = {AAAI},
    author = {Colombo, Pierre and Clavel, Chloe and Piantanida, Pablo},
    number = {Mani 2001},
    url = {http://arxiv.org/abs/2112.01589},
    arxivId = {2112.01589}
}

@article{Chi2021c,
    title = {{InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training}},
    year = {2021},
    author = {Chi, Zewen and Dong, Li and Wei, Furu and Yang, Nan and Singhal, Saksham and Wang, Wenhui and Song, Xia and Mao, Xian-Ling and Huang, Heyan and Zhou, Ming},
    pages = {3576--3588},
    doi = {10.18653/v1/2021.naacl-main.280},
    arxivId = {2007.07834}
}

@article{Barkar2023,
    title = {{Insights Into the Importance of Linguistic Textual Features on the Persuasiveness of Public Speaking}},
    year = {2023},
    journal = {ACM International Conference Proceeding Series},
    author = {Barkar, Alisa and Chollet, Mathieu and Biancardi, Beatrice and Clavel, Chloe},
    pages = {51--55},
    isbn = {9798400703218},
    doi = {10.1145/3610661.3617161},
    keywords = {Public speaking, behavioural models, deep learning, explainable artificial intelligence, multimodal system}
}

@inproceedings{Hernandez2024a,
    title = {{Inspecting and Editing Knowledge Representations in Language Models}},
    year = {2024},
    booktitle = {CoLM},
    author = {Hernandez, Evan and Li, Belinda Z and Andreas, Jacob},
    pages = {1--22},
    url = {http://arxiv.org/abs/2304.00740},
    arxivId = {2304.00740}
}

@article{Miao2022,
    title = {{Instance-Specific Augmentation: Capturing Local Invariances}},
    year = {2022},
    author = {Miao, Ning and Rainforth, Tom and Mathieu, Emile and Dubois, Yann and Teh, Yee Whye and Foster, Adam and Kim, Hyunjik},
    pages = {1--15},
    url = {http://arxiv.org/abs/2206.00051},
    arxivId = {2206.00051}
}

@article{Chia2023,
    title = {{INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models}},
    year = {2023},
    author = {Chia, Yew Ken and Hong, Pengfei and Bing, Lidong and Poria, Soujanya},
    url = {http://arxiv.org/abs/2306.04757},
    arxivId = {2306.04757}
}

@article{Peng2023,
    title = {{Instruction Tuning with GPT-4}},
    year = {2023},
    author = {Peng, Baolin and Li, Chunyuan and He, Pengcheng and Galley, Michel and Gao, Jianfeng},
    pages = {1--12},
    url = {http://arxiv.org/abs/2304.03277},
    arxivId = {2304.03277}
}

@article{Kantharaju2019,
    title = {{Integrating argumentation with social conversation between multiple virtual coaches}},
    year = {2019},
    journal = {IVA 2019 - Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents},
    author = {Kantharaju, Reshmashree B. and Pease, Alison and Reidsma, Dennis and Pelachaud, Catherine and Snaith, Mark and Bruijnes, Merijn and Klaassen, Randy and Beinema, Tessa and Huizing, Gerwin and Simonetti, Donatella and Heylen, Dirk and Den Akker, Harm Op},
    pages = {203--205},
    isbn = {9781450366724},
    doi = {10.1145/3308532.3329450},
    keywords = {Argumentation, E-Coaching, Social Conversation}
}

@article{Tsai2021,
    title = {{Integrating Auxiliary Information in Self-supervised Learning}},
    year = {2021},
    author = {Tsai, Yao-Hung Hubert and Li, Tianqin and Liu, Weixin and Liao, Peiyuan and Salakhutdinov, Ruslan and Morency, Louis-Philippe},
    url = {http://arxiv.org/abs/2106.02869},
    arxivId = {2106.02869}
}

@article{Rahman2020Integrating,
    title = {{Integrating Multimodal Information in Large Pretrained Transformers}},
    year = {2020},
    author = {Rahman, Wasifur and Hasan, Md Kamrul and Lee, Sangwu and Zadeh, Amir and Mao, Chengfeng and Morency, Louis-Philippe and Hoque, Ehsan},
    pages = {2359--2369}
}

@article{Kallenberg2023,
    title = {{Integrating processed-based models and machine learning for crop yield prediction}},
    year = {2023},
    author = {Kallenberg, Michiel G J and Maestrini, Bernardo and van Bree, Ron and Ravensbergen, Paul and Pylianidis, Christos and van Evert, Frits and Athanasiadis, Ioannis N},
    url = {http://arxiv.org/abs/2307.13466},
    arxivId = {2307.13466}
}

@article{Baly2018,
    title = {{Integrating stance detection and fact checking in a unified corpus}},
    year = {2018},
    journal = {NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference},
    author = {Baly, Ramy and Mohtarami, Mitra and Glass, James and M{\`{a}}rquez, Lluís and Moschitti, Alessandro and Nakov, Preslav},
    pages = {21--27},
    volume = {2},
    isbn = {9781948087292},
    doi = {10.18653/v1/n18-2004},
    arxivId = {1804.08012}
}

@article{Soubki2024b,
    title = {{Intention and Face in Dialog}},
    year = {2024},
    journal = {2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings},
    author = {Soubki, Adil and Rambow, Owen},
    pages = {9143--9153},
    url = {https://aclanthology.org/2024.lrec-main.801/},
    isbn = {9782493814104},
    keywords = {Cognitive Methods, Dialogue, Discourse Annotation, Representation and Processing}
}

@article{Artstein2021,
    title = {{Inter-coder agreement for computational linguistics (survey article)}},
    year = {2021},
    journal = {Computational Linguistics},
    author = {Artstein, Ron and Poesio, Massimo},
    number = {August 2005}
}

@article{Lang1997,
    title = {{International affective picture system (IAPS): Technical manual and affective ratings}},
    year = {1997},
    journal = {NIMH Center for the Study of Emotion and Attention},
    author = {Lang, Peter J and Bradley, Margaret M and Cuthbert, Bruce N},
    pages = {39--58}
}

@article{Madsen2024,
    title = {{Interpretability Needs a New Paradigm}},
    year = {2024},
    author = {Madsen, Andreas and Lakkaraju, Himabindu and Reddy, Siva and Chandar, Sarath},
    url = {http://arxiv.org/abs/2405.05386},
    arxivId = {2405.05386}
}

@article{Vijayaraghavan2019,
    title = {{Interpretable Multi-Modal Hate Speech Detection}},
    year = {2019},
    journal = {International Conference on Machine Learning AI for Social Good Workshop},
    author = {Vijayaraghavan, Prashanth and Larochelle, Hugo and Roy, Deb},
    pages = {1--5},
    url = {https://www.splcenter.org/}
}

@article{Zhang2019d,
    title = {{Interpreting cnns via decision trees}},
    year = {2019},
    journal = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
    author = {Zhang, Quanshi and Yang, Yu and Ma, Haotian and Wu, Ying Nian},
    pages = {6254--6263},
    volume = {2019-June},
    isbn = {9781728132938},
    doi = {10.1109/CVPR.2019.00642},
    issn = {10636919},
    arxivId = {1802.00121},
    keywords = {Deep Learning, Grouping and Shape, Others, Representation Learning, Segmentation, Statistical Learn, Visual Reasoning}
}

@article{Aubakirova2016,
    title = {{Interpreting neural networks to improve politeness comprehension}},
    year = {2016},
    journal = {EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings},
    author = {Aubakirova, Malika and Bansal, Mohit},
    pages = {2035--2041},
    isbn = {9781945626258},
    doi = {10.18653/v1/d16-1216},
    arxivId = {1610.02683}
}

@article{Varano2019,
    title = {{Interpreting Self-Attention Weights}},
    year = {2019},
    author = {Varano, Chris},
    pages = {1--7},
    url = {https://github.com/baaesh/DiSAN-pytorch}
}

@inproceedings{Homan2023,
    title = {{Intersectionality in Conversational AI Safety: How Bayesian Multilevel Models Help Understand Diverse Perceptions of Safety}},
    year = {2024},
    booktitle = {NLPerspectives 2024@LREC-COLING 2024},
    author = {Homan, Christopher M. and Serapio-Garcia, Greg and Aroyo, Lora and Diaz, Mark and Parrish, Alicia and Prabhakaran, Vinodkumar and Taylor, Alex S. and Wang, Ding},
    pages = {131--141},
    url = {http://arxiv.org/abs/2306.11530},
    arxivId = {2306.11530}
}

@inproceedings{Goldfarb2021intrisic,
    title = {{Intrinsic bias metrics do not correlate with application bias}},
    year = {2021},
    booktitle = {ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference},
    author = {Goldfarb-Tarrant, Seraphina and Marchant, Rebecca and S{\'{a}}nchez, Ricardo Muñoz and Pandya, Mugdha and Lopez, Adam},
    pages = {1926--1940},
    isbn = {9781954085527},
    doi = {10.18653/v1/2021.acl-long.150},
    arxivId = {2012.15859}
}

@inproceedings{Ringeval2013,
    title = {{Introducing the RECOLA multimodal corpus of remote collaborative and affective interactions}},
    year = {2013},
    booktitle = {2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013},
    author = {Ringeval, Fabien and Sonderegger, Andreas and Sauer, Juergen and Lalanne, Denis},
    isbn = {9781467355452},
    doi = {10.1109/FG.2013.6553805}
}

@article{AlKhamissi2024,
    title = {{Investigating Cultural Alignment of Large Language Models}},
    year = {2024},
    author = {AlKhamissi, Badr and ElNokrashy, Muhammad and AlKhamissi, Mai and Diab, Mona},
    url = {http://arxiv.org/abs/2402.13231},
    arxivId = {2402.13231}
}

@article{Borenstein2024,
    title = {{Investigating Human Values in Online Communities}},
    year = {2024},
    author = {Borenstein, Nadav and Arora, Arnav and Kaffee, Lucie-Aimée and Augenstein, Isabelle},
    url = {http://arxiv.org/abs/2402.14177},
    arxivId = {2402.14177}
}

@inproceedings{Sakketou2022,
    title = {{Investigating User Radicalization: A Novel Dataset for Identifying Fine-Grained Temporal Shifts in Opinion}},
    year = {2022},
    booktitle = {LREC},
    author = {Sakketou, Flora and Lahnala, Allison and Vogel, Liane and Flek, Lucie},
    number = {June},
    pages = {3798--3808},
    url = {http://arxiv.org/abs/2204.10190},
    arxivId = {2204.10190},
    keywords = {opinion dynamics, sociopolitical language, stance detection dataset}
}

@article{Singh2022,
    title = {{iPrompt: Explaining Patterns in Data with Language Models via Interpretable Autoprompting}},
    year = {2022},
    author = {Singh, Chandan and Morris, John X. and Aneja, Jyoti and Rush, Alexander M. and Gao, Jianfeng},
    url = {http://arxiv.org/abs/2210.01848},
    arxivId = {2210.01848}
}

@inproceedings{Santurkar2023capt,
    title = {{Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning}},
    year = {2023},
    booktitle = {ICLR},
    author = {Santurkar, Shibani and Dubois, Yann and Taori, Rohan and Liang, Percy and Hashimoto, Tatsunori},
    url = {http://arxiv.org/abs/2207.07635},
    arxivId = {2207.07635}
}

@article{Patel2022a,
    title = {{Is a Question Decomposition Unit All We Need?}},
    year = {2022},
    journal = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022},
    author = {Patel, Pruthvi and Mishra, Swaroop and Parmar, Mihir and Baral, Chitta},
    pages = {4553--4569},
    arxivId = {2205.12538}
}

@article{Wang2023c,
    title = {{Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instruction}},
    year = {2023},
    journal = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Wang, Rose and Demszky, Dorottya},
    number = {Bea},
    pages = {626--667},
    isbn = {9781959429807},
    doi = {10.18653/v1/2023.bea-1.53},
    issn = {0736587X},
    arxivId = {2306.03090}
}

@article{Shen2021,
    title = {{Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study}},
    year = {2021},
    author = {Shen, Zhiqiang and Liu, Zechun and Xu, Dejia and Chen, Zitian and Cheng, Kwang-Ting and Savvides, Marios},
    pages = {1--17},
    url = {http://arxiv.org/abs/2104.00676},
    arxivId = {2104.00676}
}

@article{Lv2021,
    title = {{Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability}},
    year = {2021},
    journal = {EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings},
    author = {Lv, Xin and Cao, Yixin and Hou, Lei and Li, Juanzi and Liu, Zhiyuan and Zhang, Yichi and Dai, Zelin},
    pages = {8899--8911},
    isbn = {9781955917094},
    doi = {10.18653/v1/2021.emnlp-main.700},
    arxivId = {2104.06751}
}

@inproceedings{Zhou2024,
    title = {{Is this the real life? Is this just fantasy? The Misleading Success of Simulating Social Interactions With LLMs}},
    year = {2024},
    booktitle = {EMNLP},
    author = {Zhou, Xuhui and Su, Zhe and Eisape, Tiwalayo and Kim, Hyunwoo and Sap, Maarten},
    url = {https://aclanthology.org/2024.emnlp-main.1208.pdf},
    arxivId = {2403.05020}
}

@article{Kantharaju2018,
    title = {{Is two beter than one? Efects of multiple agents on user persuasion}},
    year = {2018},
    journal = {Proceedings of the 18th International Conference on Intelligent Virtual Agents, IVA 2018},
    author = {Kantharaju, Reshmashree B. and Pease, Alison and De Franco, Dominic and Pelachaud, Catherine},
    pages = {255--262},
    isbn = {9781450360135},
    doi = {10.1145/3267851.3267890},
    arxivId = {1904.05248},
    keywords = {Evaluation, Multi-agent, Persuasion, Role, User}
}

@inproceedings{Vasileva2019,
    title = {{It takes nine to smell a rat: Neural multi-task learning for check-worthiness prediction}},
    year = {2019},
    booktitle = {International Conference Recent Advances in Natural Language Processing, RANLP},
    author = {Vasileva, Slavena and Atanasova, Pepa and M{\`{a}}rquez, Lluís and Barr{\'{o}}n-Cede{\~{n}}o, Alberto and Nakov, Preslav},
    pages = {1229--1239},
    volume = {2019-Septe},
    isbn = {9789544520557},
    doi = {10.26615/978-954-452-056-4{\_}141},
    issn = {13138502},
    arxivId = {1908.07912}
}

@article{Schick2020,
    title = {{It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners}},
    year = {2020},
    author = {Schick, Timo and Sch{\"{u}}tze, Hinrich},
    url = {http://arxiv.org/abs/2009.07118},
    arxivId = {2009.07118}
}

@article{Lucas2014,
    title = {{It's only a computer: Virtual humans increase willingness to disclose}},
    year = {2014},
    journal = {Computers in Human Behavior},
    author = {Lucas, Gale M. and Gratch, Jonathan and King, Aisha and Morency, Louis-Philippe},
    pages = {94--100},
    volume = {37},
    publisher = {Elsevier Ltd},
    url = {http://dx.doi.org/10.1016/j.chb.2014.04.043},
    doi = {10.1016/j.chb.2014.04.043},
    issn = {07475632},
    keywords = {Clinical interviews, Computer-assisted assessment, Honest responding, Self-disclosure, Virtual humans}
}

@inproceedings{Acl2022,
    title = {{IUCL at WASSA 2022 Shared Task : A Text-only Approach to Empathy and Emotion Detection}},
    year = {2022},
    booktitle = {WASSA},
    author = {Acl, Anonymous}
}

@article{DeBruyne2019,
    title = {{Joint emotion label space modelling for affect Lexica}},
    year = {2019},
    journal = {arXiv},
    author = {De Bruyne, Luna and Atanasova, Pepa and Augenstein, Isabelle},
    arxivId = {1911.08782}
}

@article{Sridhar2015,
    title = {{Joint Models of Disagreement and Stance in Online Debate}},
    year = {2015},
    journal = {Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing},
    author = {Sridhar, Dhanya and Foulds, James and Huang, Bert and Getoor, Lise and Walker, Marilyn},
    pages = {116--125},
    url = {http://linqs.cs.umd.edu/basilic/web/Publications/2015/sridhar:acl15/paper.pdf},
    isbn = {9781941643723}
}

@article{Zheng2023b,
    title = {{Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena}},
    year = {2023},
    author = {Zheng, Lianmin and Chiang, Wei-Lin and Sheng, Ying and Zhuang, Siyuan and Wu, Zhanghao and Zhuang, Yonghao and Lin, Zi and Li, Zhuohan and Li, Dacheng and Xing, Eric P. and Zhang, Hao and Gonzalez, Joseph E. and Stoica, Ion},
    number = {NeurIPS},
    pages = {1--29},
    url = {http://arxiv.org/abs/2306.05685},
    issn = {10495258},
    arxivId = {2306.05685}
}

@article{Park2020,
    title = {{K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations}},
    year = {2020},
    journal = {Scientific Data},
    author = {Park, Cheul Young and Cha, Narae and Kang, Soowon and Kim, Auk and Khandoker, Ahsan Habib and Hadjileontiadis, Leontios and Oh, Alice and Jeong, Yong and Lee, Uichin},
    number = {1},
    pages = {1--16},
    volume = {7},
    publisher = {Springer US},
    url = {http://dx.doi.org/10.1038/s41597-020-00630-y},
    doi = {10.1038/s41597-020-00630-y},
    issn = {20524463},
    pmid = {32901038},
    arxivId = {2005.04120}
}

@misc{Baer2017,
    title = {{Kahneman: Your Cognitive Biases Act Like Optical Illusions}},
    year = {2017},
    booktitle = {The Cut},
    author = {Baer, Drake},
    url = {https://www.thecut.com/2017/01/kahneman-biases-act-like-optical-illusions.html}
}

@article{Dutt2020,
    title = {{Keeping up appearances: Computational modeling of face acts in persuasion oriented discussions}},
    year = {2020},
    journal = {EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference},
    author = {Dutt, Ritam and Joshi, Rishabh and Ros{\'{e}}, Carolyn Penstein},
    pages = {7473--7485},
    isbn = {9781952148606},
    doi = {10.18653/v1/2020.emnlp-main.605},
    arxivId = {2009.10815}
}

@article{Wang2019f,
    title = {{KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation}},
    year = {2019},
    author = {Wang, Xiaozhi and Gao, Tianyu and Zhu, Zhaocheng and Liu, Zhiyuan and Li, Juanzi and Tang, Jian},
    url = {http://arxiv.org/abs/1911.06136},
    arxivId = {1911.06136}
}

@article{Coling2025DebiasingSettings,
    title = {{Debiasing through obfuscation promotes fairness in multi-community settings}},
    year = {2025},
    author = {Coling, Anonymous}
}

@article{Barkar2025DecodingSpeaking,
    title = {{Decoding Persuasiveness in Eloquence Competitions : An Investigation into the LLM ’ s Ability to Assess Public Speaking}},
    year = {2025},
    author = {Barkar, Alisa and Chollet, Mathieu and Labeau, Matthieu and Biancardi, Beatrice},
    keywords = {automatic speech evaluation, development of automated assess-, features, interpretable, large language models, llms, open-source models, persuasiveness prediction, ps, public speaking, public speaking assessment, skills has fueled the, textual modality, the increasing importance of}
}

@article{Hussain2023DeepData,
    title = {{Deep Learning and Machine Learning Models for Landslide Susceptibility Mapping with Remote Sensing Data}},
    year = {2023},
    journal = {Remote Sensing},
    author = {Hussain, Muhammad Afaq and Chen, Zhanlong and Zheng, Ying and Zhou, Yulong and Daud, Hamza},
    number = {19},
    volume = {15},
    doi = {10.3390/rs15194703},
    issn = {20724292},
    keywords = {convolutional neural network, extreme gradient boosting, landslide susceptibility mapping, random forest, recurrent neural networks}
}

@article{DeepSeek-AI2024DeepSeek-V3Report,
    title = {{DeepSeek-V3 Technical Report}},
    year = {2024},
    author = {{DeepSeek-AI}},
    pages = {1--53},
    volume = {2024},
    arxivId = {arXiv:2412.19437v1}
}

@article{Lenczner2022DIALSensing,
    title = {{DIAL : Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing}},
    year = {2022},
    journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
    author = {Lenczner, Gaston and Chan-hon-tong, Adrien and Saux, Bertrand Le and Member, Senior and Luminari, Nicola and Besnerais, Guy Le},
    pages = {3376--3389},
    volume = {15},
    publisher = {IEEE},
    doi = {10.1109/JSTARS.2022.3166551}
}

@article{AclDistinguishingUse,
    title = {{Distinguishing In-Groups and Onlookers by Language Use}},
    author = {Acl, Anonymous}
}

@article{Pruksachatkun2021DoesClassification,
    title = {{Does Robustness Improve Fairness ? Approaching Fairness with Word Substitution Robustness Methods for Text Classification}},
    year = {2021},
    journal = {ACL},
    author = {Pruksachatkun, Yada and Chang, Kai Wei and Alexa, Amazon},
    pages = {3320--3331}
}

@article{Martini2021Domain-AdversarialImagery,
    title = {{Domain-Adversarial Training of Self-Attention-Based Networks for Land Cover Classification Using Multi-Temporal Sentinel-2 Satellite Imagery}},
    year = {2021},
    author = {Martini, Mauro and Mazzia, Vittorio and Khaliq, Aleem}
}

@article{HemamouDontInterviews,
    title = {{Don't Judge Me by My Face : An Indirect Adversarial Approach to Remove Sensitive Information From Multimodal Neural Representation in Asynchronous Job Video Interviews}},
    author = {Hemamou, Léo}
}

@article{JinEfficientSurvey,
    title = {{Efficient Multimodal Large Language Models : A Survey}},
    author = {Jin, Yizhang and Li, Jian and Liu, Yexin and Gu, Tianjun and Wu, Kai and Jiang, Zhengkai},
    pages = {1--36},
    arxivId = {arXiv:2405.10739v1}
}

@article{Xue2022EgocentricTranslation,
    title = {{Egocentric Video Task Translation}},
    year = {2022},
    journal = {arXiv},
    author = {Xue, Zihui and Song, Yale and Grauman, Kristen and Torresani, Lorenzo},
    url = {http://arxiv.org/abs/2212.06301},
    arxivId = {2212.06301}
}

@article{OyarzunEmbeddedTheory,
    title = {{Embedded Interpretable Regression using Dempster-Shafer Theory}},
    author = {Oyarzun, Lucas and Baloian, Nelson and Pe{\~{n}}afiel, Sergio and Panay, Belisario and Pino, José and Sanson, Horacio},
    pages = {1--30}
}

@inproceedings{Chen2024EMOVA:EMOTIONS,
    title = {{EMOVA: EMPOWERING LANGUAGE MODELS TO SEE, HEAR AND SPEAK WITH VIVID EMOTIONS}},
    year = {2024},
    author = {Chen, Kai and Gou, Yunhao and Huang, Runhui and Liu, Zhili and Tan, Daxin and Xu, Jing and Li, Haoyuan and Bai, Haoli and Han, Jianhua and Li, Xiaohui and Jin, Weike and Xie, Nian and Zhang, Yu},
    pages = {1--35},
    arxivId = {arXiv:2409.18042v1}
}

@article{Zhang2023EnhancingFoundations,
    title = {{Enhancing Stance Classification with Quantified Moral Foundations}},
    year = {2023},
    author = {Zhang, Hong and Bhattacharya, Prasanta and Gao, Wei and Wong, Liang Ze and Loh, Brandon Siyuan and Simons, J P and An, Jisun}
}

@article{Costantini2021EUROPEAN,
    title = {{EUROPEAN GROUND MOTION SERVICE ( EGMS )}},
    year = {2021},
    journal = {2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS},
    author = {Costantini, Mario and Minati, Federico and Trillo, Francesco and Ferretti, Alessandro and Novali, Fabrizio and Passera, Emanuele and Dehls, John and Larsen, Yngvar and Marinkovic, Petar and Eineder, Michael and Brcic, Ramon and Siegmund, Robert and Kotzerke, Paul and Probeck, Markus and Kenyeres, Ambrus and Proietti, Sergio and Solari, Lorenzo and Andersen, Henrik S},
    pages = {3293--3296},
    publisher = {IEEE},
    isbn = {9781665403696},
    doi = {10.1109/IGARSS47720.2021.9553562}
}

@article{LoyolaEVALUATIONDETECTION,
    title = {{EVALUATION OF CONVOLUTIONAL AND ATTENTIONAL MODULES FOR ONE-SHOT OBJECT DETECTION}},
    author = {Loyola, Cristobal}
}

@inproceedings{Wen2021EventNetworks,
    title = {{Event Time Extraction and Propagation via Graph Attention Networks}},
    year = {2021},
    author = {Wen, Haoyang and Qu, Yanru and Ji, Heng and Ning, Qiang and Han, Jiawei and Sil, Avirup and Tong, Hanghang and Roth, Dan},
    pages = {62--73}
}

@article{Hasan2019FacialDeception,
    title = {{Facial Expression Based Imagination Index and a Transfer Learning Approach to Detect Deception}},
    year = {2019},
    author = {Hasan, Kamrul and Rahman, Wasifur and Gerstner, Luke and Sen, Taylan and Lee, Sangwu and Haut, Kurtis Glenn and Hoque, Mohammed Ehsan},
    isbn = {9781728138886}
}

@article{Paudel2022FieldEurope,
    title = {{Field Crops Research Machine learning for regional crop yield forecasting in Europe}},
    year = {2022},
    journal = {Field Crops Research},
    author = {Paudel, Dilli and Boogaard, Hendrik and Wit, Allard De and Velde, Marijn Van Der and Claverie, Martin and Nisini, Luigi and Janssen, Sander and Osinga, Sjoukje and Athanasiadis, Ioannis N},
    number = {December 2021},
    pages = {108377},
    volume = {276},
    publisher = {Elsevier B.V.},
    url = {https://doi.org/10.1016/j.fcr.2021.108377},
    doi = {10.1016/j.fcr.2021.108377},
    issn = {0378-4290},
    keywords = {Crop yield,Machine learning,Large-scale crop yield}
}

@article{Pettinari2015GenerationSystem,
    title = {{Generation of a global fuel dataset using the Fuel Characteristic Classification System}},
    year = {2015},
    author = {Pettinari, M L and Chuvieco, E},
    pages = {17245--17284},
    doi = {10.5194/bgd-12-17245-2015}
}

@article{JoonGenerativePeople,
    title = {{Generative Agent Simulations of 1 , 000 People}},
    author = {Joon, Authors and Park, Sung and Zou, Carolyn Q and Shaw, Aaron and Hill, Benjamin Mako and Cai, Carrie and Morris, Meredith Ringel and Willer, Robb and Liang, Percy and Bernstein, Michael S}
}

@article{MarsocciGeoMultiTaskNetCoordinates,
    title = {{GeoMultiTaskNet : remote sensing unsupervised domain adaptation using geographical coordinates}},
    author = {Marsocci, Valerio and Gonthier, Nicolas and Garioud, Anatol and Scardapane, Simone},
    pages = {2075--2085}
}

@article{Deng2023GoalBeyond,
    title = {{Goal Awareness for Conversational AI: Proactivity, Non-collaborativity, and Beyond}},
    year = {2023},
    journal = {ACL Tutorial},
    author = {Deng, Yang and Lei, Wenqiang and Huang, Minlie and Chua, Tat-seng}
}

@incollection{LeCun1998Gradient-BasedRecognition,
    title = {{Gradient-Based Learning Applied to Document Recognition}},
    year = {1998},
    booktitle = {Proc of the IEEE},
    author = {LeCun, Yann and Bottou, Léon and Bengio, Yoshua and Haffner, Patrick},
    doi = {10.1109/9780470544976.ch9}
}

@article{Yu2023GroundingGeneration,
    title = {{Grounding Language Models to Images for Multimodal Generation}},
    year = {2023},
    journal = {arXiv},
    author = {Yu, Jing and Ruslan, Koh and Daniel, Salakhutdinov},
    number = {1},
    arxivId = {arXiv:2301.13823v1}
}

@misc{GuiaTesis_Magister-2.pdf,
    title = {{Gu{\'{i}}a Evaluaci{\'{o}}n Tesis{\_}Mag{\'{i}}ster-2.pdf}}
}

@article{Liu2023GuidingFramework,
    title = {{Guiding Computational Stance Detection with Expanded Stance Triangle Framework}},
    year = {2023},
    author = {Liu, Zhengyuan and Yap, Yong Keong and Chieu, Hai Leong and Chen, Nancy F},
    pages = {3987--4001},
    volume = {1}
}

@article{Liang2024HEMM:Models,
    title = {{HEMM: Holistic Evaluation of Multimodal Foundation Models}},
    year = {2024},
    author = {Liang, Paul Pu and Goindani, Akshay and Chafekar, Talha and Mathur, Leena and Yu, Haofei and Salakhutdinov, Ruslan and Morency, Louis-Philippe},
    pages = {1--41},
    url = {http://arxiv.org/abs/2407.03418},
    arxivId = {2407.03418}
}

@article{Meena2023HR-GLDD:Imagery,
    title = {{HR-GLDD: a globally distributed dataset using generalized deep learning (DL) for rapid landslide mapping on high-resolution (HR) satellite imagery}},
    year = {2023},
    journal = {Earth System Science Data},
    author = {Meena, Sansar Raj and Nava, Lorenzo and Bhuyan, Kushanav and Puliero, Silvia and Soares, Lucas Pedrosa and Dias, Helen Cristina and Floris, Mario and Catani, Filippo},
    number = {7},
    pages = {3283--3298},
    volume = {15},
    doi = {10.5194/essd-15-3283-2023},
    issn = {18663516}
}

@techreport{AlNajarImprovingZones,
    title = {{Improving Shoreline Forecasting Models with Multi-Objective Genetic Programming Given the current context of climate change and increasing population densities at coastal zones}},
    author = {Al Najar, Mahmoud and Almar, Rafael and J Bergsma, Erwin W and Delvit, Jean-Marc and Wilson, G}
}

@article{Fine-tuning2022ImprovingFine-Tuning,
    title = {{Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-Tuning}},
    year = {2022},
    author = {Fine-tuning, Surrogate and Abdul-mageed, Chiyu Zhang Muhammad},
    pages = {141--156}
}

@inproceedings{Li2021ImprovingDistillation,
    title = {{Improving Stance Detection with Multi-Dataset Learning and Knowledge Distillation}},
    year = {2021},
    booktitle = {EMNLP},
    author = {Li, Yingjie and Zhao, Chenye and Caragea, Cornelia},
    pages = {6332--6345}
}

@article{Wachsmuth2023InModels,
    title = {{in the Age of Instruction-Following Large Language Models}},
    year = {2023},
    author = {Wachsmuth, Henning and Lapesa, Gabriella and Cabrio, Elena and Lauscher, Anne and Park, Joonsuk and Vecchi, Eva Maria and Villata, Serena and Ziegenbein, Timon},
    arxivId = {arXiv:2403.16084v1},
    keywords = {argument quality, computational argumentation, instruction fine-tuning, large language model}
}

@misc{IndexVisualqa.org,
    title = {{index @ visualqa.org}},
    url = {https://visualqa.org/}
}

@article{Reyes2023InformeSolucion,
    title = {{Informe parcial Procesamiento de datos textuales EthicApp con algoritmos de procesamiento de lenguaje natural Descripci{\'{o}}n de la problem{\'{a}}tica Proposici{\'{o}}n de soluci{\'{o}}n}},
    year = {2023},
    author = {Reyes, Camilo Carvajal},
    pages = {1--9}
}

@article{Hewitt2024InstructionTuning,
    title = {{Instruction Following without Instruction Tuning}},
    year = {2024},
    author = {Hewitt, John and Liu, Nelson F and Liang, Percy and Manning, Christopher D},
    pages = {1--16},
    url = {http://arxiv.org/abs/2409.14254},
    arxivId = {2409.14254}
}

@article{Paudel2023InterpretabilityForecasting,
    title = {{Interpretability of deep learning models for crop yield forecasting}},
    year = {2023},
    journal = {Computers and Electronics in Agriculture},
    author = {Paudel, Dilli and Wit, Allard De and Boogaard, Hendrik and Marcos, Diego and Osinga, Sjoukje and Athanasiadis, N},
    number = {December 2022},
    pages = {107663},
    volume = {206},
    publisher = {Elsevier B.V.},
    url = {https://doi.org/10.1016/j.compag.2023.107663},
    doi = {10.1016/j.compag.2023.107663},
    issn = {0168-1699},
    keywords = {Crop yield,Deep learning,Neural networks,Interpret}
}

@article{QuIntroducingBottlenecks,
    title = {{Introducing Routing Functions to Vision-Language Parameter-Efficient Fine-Tuning with Low-Rank Bottlenecks}},
    author = {Qu, Tingyu and Tuytelaars, Tinne and Moens, Marie-francine},
    arxivId = {arXiv:2403.09377v2},
    keywords = {low-rank approximation, parameter-efficient fine-tuning, vision and language}
}

@inproceedings{Ethayarajh2020IsBounds,
    title = {{Is Your Classifier Actually Biased ? Measuring Fairness under Uncertainty with Bernstein Bounds}},
    year = {2020},
    booktitle = {ACL},
    author = {Ethayarajh, Kawin},
    pages = {2914--2919}
}
@misc{Grootendorst2020,
    title = {{KeyBERT: Minimal keyword extraction with BERT.}},
    year = {2020},
    author = {Grootendorst, Maarten},
    publisher = {Zenodo},
    url = {https://doi.org/10.5281/zenodo.4461265},
    doi = {10.5281/zenodo.4461265}
}

@inproceedings{Zhang2020b,
    title = {{Knowledge Aware Emotion Recognition in Textual Conversations via Multi-Task Incremental Transformer}},
    year = {2020},
    booktitle = {COLING},
    author = {Zhang, Duzhen and Chen, Xiuyi and Xu, Shuang and Xu, Bo},
    pages = {4429--4440}
}

@article{Peters2019,
    title = {{Knowledge Enhanced Contextual Word Representations}},
    year = {2019},
    author = {Peters, Matthew E. and Neumann, Mark and Logan, Robert L. and Schwartz, Roy and Joshi, Vidur and Singh, Sameer and Smith, Noah A.},
    url = {http://arxiv.org/abs/1909.04164},
    arxivId = {1909.04164}
}

@article{Naacl-hlt2021b,
    title = {{Knowledge Enhanced Masked Language Model for Stance Detection}},
    year = {2021},
    author = {Naacl-hlt, Anonymous}
}

@article{Dai2022,
    title = {{Knowledge Neurons in Pretrained Transformers}},
    year = {2022},
    author = {Dai, Damai and Dong, Li and Hao, Yaru and Sui, Zhifang and Chang, Baobao and Wei, Furu},
    pages = {8493--8502},
    volume = {1},
    doi = {10.18653/v1/2022.acl-long.581},
    arxivId = {2104.08696}
}

@inproceedings{Lee2023,
    title = {{KoSBI: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Application}},
    year = {2023},
    booktitle = {ACL},
    author = {Lee, Hwaran and Hong, Seokhee and Park, Joonsuk and Kim, Takyoung and Kim, Gunhee and Ha, Jung-Woo},
    pages = {208--224},
    volume = {5}
}

@article{Zhang2020,
    title = {{LA-HCN: Label-based Attention for Hierarchical Multi-label TextClassification Neural Network}},
    year = {2020},
    author = {Zhang, Xinyi and Xu, Jiahao and Soh, Charlie and Chen, Lihui},
    url = {http://arxiv.org/abs/2009.10938},
    arxivId = {2009.10938}
}

@article{Stengel-Eskin2024,
    title = {{LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language Models}},
    year = {2024},
    author = {Stengel-Eskin, Elias and Hase, Peter and Bansal, Mohit},
    pages = {1--17},
    url = {http://arxiv.org/abs/2405.21028},
    arxivId = {2405.21028}
}

@article{Blodgett2020,
    title = {{Language (Technology) is power: A critical survey of "bias” in NLP}},
    year = {2020},
    journal = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Blodgett, Su Lin and Barocas, Solon and Daum{\'{e}}, Hal and Wallach, Hanna},
    number = {c},
    pages = {5454--5476},
    isbn = {9781952148255},
    doi = {10.18653/v1/2020.acl-main.485},
    issn = {0736587X},
    arxivId = {2005.14050}
}

@inproceedings{Su2024,
    title = {{Language Agents : Foundations , Prospects , and Risks}},
    year = {2024},
    booktitle = {EMNLP (tutorial)},
    author = {Su, Yu and Yang, Diyi and Yao, Shunyu and Yu, Tao},
    pages = {17--24},
    url = {https://language-agent-tutorial.github.io/}
}

@phdthesis{YaoDissertation2024,
    title = {{Language Agents: From Next-Token Prediction to Digital Automation}},
    year = {2024},
    author = {Yao, Shunyu},
    number = {May}
}

@article{Blevins2022,
    title = {{Language Contamination Explains the Cross-lingual Capabilities of English Pretrained Models}},
    year = {2022},
    author = {Blevins, Terra and Zettlemoyer, Luke},
    url = {http://arxiv.org/abs/2204.08110},
    arxivId = {2204.08110}
}

@article{Voigt2017,
    title = {{Language from police body camera footage shows racial disparities in officer respect}},
    year = {2017},
    journal = {Proceedings of the National Academy of Sciences of the United States of America},
    author = {Voigt, Rob and Camp, Nicholas P. and Prabhakaran, Vinodkumar and Hamilton, William L. and Hetey, Rebecca C. and Griffiths, Camilla M. and Jurgens, David and Jurafsky, Dan and Eberhardt, Jennifer L.},
    number = {25},
    pages = {6521--6526},
    volume = {114},
    doi = {10.1073/pnas.1702413114},
    issn = {10916490},
    pmid = {28584085}
}

@article{Kadavath2022,
    title = {{Language Models (Mostly) Know What They Know}},
    year = {2022},
    author = {Kadavath, Saurav and Conerly, Tom and Askell, Amanda and Henighan, Tom and Drain, Dawn and Perez, Ethan and Schiefer, Nicholas and Hatfield-Dodds, Zac and DasSarma, Nova and Tran-Johnson, Eli and Johnston, Scott and El-Showk, Sheer and Jones, Andy and Elhage, Nelson and Hume, Tristan and Chen, Anna and Bai, Yuntao and Bowman, Sam and Fort, Stanislav and Ganguli, Deep and Hernandez, Danny and Jacobson, Josh and Kernion, Jackson and Kravec, Shauna and Lovitt, Liane and Ndousse, Kamal and Olsson, Catherine and Ringer, Sam and Amodei, Dario and Brown, Tom and Clark, Jack and Joseph, Nicholas and Mann, Ben and McCandlish, Sam and Olah, Chris and Kaplan, Jared},
    url = {http://arxiv.org/abs/2207.05221},
    arxivId = {2207.05221}
}

@article{Brown2020,
    title = {{Language Models are Few-Shot Learners}},
    year = {2020},
    author = {Brown, Tom B. and Mann, Benjamin and Ryder, Nick and Subbiah, Melanie and Kaplan, Jared and Dhariwal, Prafulla and Neelakantan, Arvind and Shyam, Pranav and Sastry, Girish and Askell, Amanda and Agarwal, Sandhini and Herbert-Voss, Ariel and Krueger, Gretchen and Henighan, Tom and Child, Rewon and Ramesh, Aditya and Ziegler, Daniel M. and Wu, Jeffrey and Winter, Clemens and Hesse, Christopher and Chen, Mark and Sigler, Eric and Litwin, Mateusz and Gray, Scott and Chess, Benjamin and Clark, Jack and Berner, Christopher and McCandlish, Sam and Radford, Alec and Sutskever, Ilya and Amodei, Dario},
    url = {http://arxiv.org/abs/2005.14165},
    arxivId = {2005.14165}
}

@inproceedings{Saparov2023,
    title = {{LANGUAGE MODELS ARE GREEDY REASONERS : A SYSTEMATIC FORMAL ANALYSIS OF CHAIN-OF-THOUGHT}},
    year = {2023},
    booktitle = {ICLR},
    author = {Saparov, Abulhair and He, He},
    pages = {1--20}
}

@techreport{Radford2019,
    title = {{Language Models are Unsupervised Multitask Learners}},
    year = {2019},
    author = {Radford, Alec and Wu, Jeffrey and Child, Rewon and Luan, David and Amodei, Dario and Sutskever, Ilya},
    url = {https://github.com/codelucas/newspaper}
}

@article{Andreas2022c,
    title = {{Language Models as Agent Models}},
    year = {2022},
    journal = {Findings of the Association for Computational Linguistics: EMNLP 2022},
    author = {Andreas, Jacob},
    pages = {5798--5808},
    doi = {10.18653/v1/2022.findings-emnlp.423},
    arxivId = {2212.01681}
}

@article{Petroni2019,
    title = {{Language Models as Knowledge Bases?}},
    year = {2019},
    author = {Petroni, Fabio and Rockt{\"{a}}schel, Tim and Lewis, Patrick and Bakhtin, Anton and Wu, Yuxiang and Miller, Alexander H. and Riedel, Sebastian},
    url = {http://arxiv.org/abs/1909.01066},
    arxivId = {1909.01066}
}

@inproceedings{Turpin2023,
    title = {{Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting}},
    year = {2023},
    author = {Turpin, Miles and Michael, Julian and Perez, Ethan and Bowman, Samuel R.},
    number = {NeurIPS},
    pages = {1--14},
    url = {http://arxiv.org/abs/2305.04388},
    arxivId = {2305.04388}
}

@article{Feng2020,
    title = {{Language-agnostic BERT Sentence Embedding}},
    year = {2020},
    author = {Feng, Fangxiaoyu and Yang, Yinfei and Cer, Daniel and Arivazhagan, Naveen and Wang, Wei},
    url = {http://arxiv.org/abs/2007.01852},
    arxivId = {2007.01852}
}

@article{Narr2012,
    title = {{Language-independent Twitter sentiment analysis}},
    year = {2012},
    journal = {Knowledge Discovery and Machine Learning (KDML), LWA},
    author = {Narr, Sascha and Hulfenhaus, Michael and Albayrak, Sahin},
    pages = {12--14}
}

@article{manvi2024large,
    title = {{Large language models are geographically biased}},
    year = {2024},
    journal = {arXiv preprint arXiv:2402.02680},
    author = {Manvi, Rohin and Khanna, Samar and Burke, Marshall and Lobell, David and Ermon, Stefano}
}

@inproceedings{Kojima2022,
    title = {{Large Language Models are Zero-Shot Reasoners}},
    year = {2022},
    author = {Kojima, Takeshi and Gu, Shixiang Shane and Reid, Machel and Matsuo, Yutaka and Iwasawa, Yusuke},
    number = {NeurIPS},
    url = {http://arxiv.org/abs/2205.11916},
    arxivId = {2205.11916}
}

@article{Yang2023b,
    title = {{Large Language Models as Optimizers}},
    year = {2023},
    author = {Yang, Chengrun and Wang, Xuezhi and Lu, Yifeng and Liu, Hanxiao and Le, Quoc V. and Zhou, Denny and Chen, Xinyun},
    url = {http://arxiv.org/abs/2309.03409},
    arxivId = {2309.03409}
}

@article{Cai2024,
    title = {{Large Language Models As Tool Makers}},
    year = {2024},
    journal = {12th International Conference on Learning Representations, ICLR 2024},
    author = {Cai, Tianle and Wang, Xuezhi and Ma, Tengyu and Chen, Xinyun and Zhou, Denny},
    pages = {1--23},
    arxivId = {2305.17126}
}

@article{Jeon2023,
    title = {{Large language models in education: A focus on the complementary relationship between human teachers and ChatGPT}},
    year = {2023},
    journal = {Education and Information Technologies},
    author = {Jeon, Jaeho and Lee, Seongyong},
    number = {12},
    pages = {15873--15892},
    volume = {28},
    publisher = {Springer US},
    url = {https://doi.org/10.1007/s10639-023-11834-1},
    isbn = {0123456789},
    doi = {10.1007/s10639-023-11834-1},
    issn = {15737608},
    keywords = {AIEd, Artificial intelligence, ChatGPT, Chatbot, Human–computer interaction, Large language model, Large language model-powered chatbot}
}

@inproceedings{Umair2024,
    title = {{Large Language Models Know What To Say But Not When To Speak}},
    year = {2024},
    booktitle = {Findings of ACL: EMNLP 2024},
    author = {Umair, Muhammad and Sarathy, Vasanth and de Ruiter, JP},
    pages = {15503--15514},
    url = {http://arxiv.org/abs/2410.16044},
    arxivId = {2410.16044}
}

@article{Wu2023c,
    title = {{Large-Scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation}},
    year = {2023},
    journal = {ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings},
    author = {Wu, Yusong and Chen, Ke and Zhang, Tianyu and Hui, Yuchen and Berg-Kirkpatrick, Taylor and Dubnov, Shlomo},
    volume = {2023-June},
    isbn = {9781728163277},
    doi = {10.1109/ICASSP49357.2023.10095969},
    issn = {15206149},
    arxivId = {2211.06687},
    keywords = {Audio Classification, Audio Dataset, Contrastive Learning, Representation Learning, Text-to-Audio Retrieval}
}

@article{Chalkidis2020b,
    title = {{Large-scale multi-label text classification on EU legislation}},
    year = {2020},
    journal = {ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Chalkidis, Ilias and Fergadiotis, Manos and Malakasiotis, Prodromos and Androutsopoulos, Ion},
    pages = {6314--6322},
    isbn = {9781950737482},
    doi = {10.18653/v1/p19-1636},
    arxivId = {1906.02192}
}

@article{Goyal2021,
    title = {{Larger-Scale Transformers for Multilingual Masked Language Modeling}},
    year = {2021},
    author = {Goyal, Naman and Du, Jingfei and Ott, Myle and Anantharaman, Giri and Conneau, Alexis},
    pages = {29--33},
    doi = {10.18653/v1/2021.repl4nlp-1.4},
    arxivId = {2105.00572}
}

@article{Turetzky2024,
    title = {{LAST: Language Model Aware Speech Tokenization}},
    year = {2024},
    author = {Turetzky, Arnon and Adi, Yossi},
    url = {http://arxiv.org/abs/2409.03701},
    arxivId = {2409.03701}
}

@inproceedings{LatamGPT,
    title = {{Latam-GPT}},
    year = {2025},
    booktitle = {https://www.latamgpt.org/},
    author = {{Aspillaga et al.}},
    url = {https://www.latamgpt.org/}
}

@article{Manginas2019,
    title = {{Layer-wise Guided Training for BERT: Learning Incrementally Refined Document Representations}},
    year = {2019},
    author = {Manginas, Nikolaos},
    arxivId = {arXiv:2010.05763v1}
}

@article{Lu2022,
    title = {{Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering}},
    year = {2022},
    author = {Lu, Pan and Mishra, Swaroop and Xia, Tony and Qiu, Liang and Chang, Kai-Wei and Zhu, Song-Chun and Tafjord, Oyvind and Clark, Peter and Kalyan, Ashwin},
    number = {NeurIPS},
    pages = {1--15},
    url = {http://arxiv.org/abs/2209.09513},
    arxivId = {2209.09513}
}

@article{Alaniz2021,
    title = {{Learning decision trees recurrently through communication}},
    year = {2021},
    journal = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
    author = {Alaniz, Stephan and Marcos, Diego and Schiele, Bernt and Akata, Zeynep},
    pages = {13513--13522},
    isbn = {9781665445092},
    doi = {10.1109/CVPR46437.2021.01331},
    issn = {10636919},
    arxivId = {1902.01780}
}

@inproceedings{nam2020learning,
    title = {{Learning from failure: De-biasing classifier from biased classifier}},
    year = {2020},
    booktitle = {Advances in Neural Information Processing Systems},
    author = {Nam, Junhyun and Cha, Hyuntak and Ahn, Sungsoo and Lee, Jaeho and Shin, Jinwoo},
    pages = {20673--20684},
    volume = {33}
}

@techreport{Zhu2002lp,
    title = {{Learning from labeled and unlabeled data with label propagation}},
    year = {2002},
    author = {Zhu, Xiaojin and Ghahramani, Zoubin},
    url = {https://www.ptonline.com/articles/how-to-get-better-mfi-results},
    institution = {Technical Report CMU-CALD-02-107, Carnegie Mellon University}
}

@article{Benton2020,
    title = {{Learning Invariances in Neural Networks from Training Data}},
    year = {2020},
    journal = {Advances in Neural Information Processing Systems (NeurlPS)},
    author = {Benton, Gregory and Finzi, Marc and Izmailov, Pavel and Wilson, Andrew Gordon},
    number = {4},
    pages = {17605--17616}
}

@article{Yoo2019,
    title = {{Learning loss for active learning}},
    year = {2019},
    journal = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
    author = {Yoo, Donggeun and Kweon, In So},
    pages = {93--102},
    volume = {2019-June},
    isbn = {9781728132938},
    doi = {10.1109/CVPR.2019.00018},
    issn = {10636919},
    arxivId = {1905.03677},
    keywords = {Categorization, Deep Learning, Others, Recognition: Detection, Retrieval, Vision Applications and Systems}
}

@article{Yu2021,
    title = {{Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis}},
    year = {2021},
    author = {Yu, Wenmeng and Xu, Hua and Yuan, Ziqi and Wu, Jiele},
    url = {http://arxiv.org/abs/2102.04830},
    arxivId = {2102.04830}
}

@article{Nothman2013,
    title = {{Learning multilingual named entity recognition from Wikipedia}},
    year = {2013},
    journal = {Artificial Intelligence},
    author = {Nothman, Joel and Ringland, Nicky and Radford, Will and Murphy, Tara and Curran, James R.},
    pages = {151--175},
    volume = {194},
    publisher = {Elsevier B.V.},
    url = {http://dx.doi.org/10.1016/j.artint.2012.03.006},
    doi = {10.1016/j.artint.2012.03.006},
    issn = {00043702},
    keywords = {Annotated corpora, Information extraction, Named entity recognition, Semi-structured resources, Semi-supervised learning, Wikipedia}
}

@article{Mihalcea2007,
    title = {{Learning multilingual subjective language via cross-lingual projections}},
    year = {2007},
    journal = {ACL 2007 - Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics},
    author = {Mihalcea, Rada and Banea, Carmen and Wiebe, Janyce},
    number = {June},
    pages = {976--983},
    isbn = {9781932432862}
}

@article{Wilson2021,
    title = {{Learning Multimodal Data Augmentation in Feature Space}},
    year = {2021},
    author = {Liu, Zichang and Tang, Zhiqiang and Shi, Xingjian and Zhang, Aston and Li, Mu and Shrivastava, Anshumali and Wilson, Andrew Gordon},
    pages = {1--15},
    arxivId = {arXiv:2212.14453v1}
}

@article{Wieting2017,
    title = {{Learning paraphrastic sentence embeddings from back-translated bitext}},
    year = {2017},
    journal = {EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings},
    author = {Wieting, John and Mallinson, Jonathan and Gimpel, Kevin},
    pages = {274--285},
    isbn = {9781945626838},
    doi = {10.18653/v1/d17-1026},
    arxivId = {1706.01847}
}

@article{Pruthi2020,
    title = {{Learning to Deceive with Attention-Based Explanations}},
    year = {2020},
    author = {Pruthi, Danish and Gupta, Mansi and Dhingra, Bhuwan and Neubig, Graham and Lipton, Zachary C.},
    pages = {4782--4793},
    doi = {10.18653/v1/2020.acl-main.432},
    arxivId = {1909.07913}
}

@inproceedings{Bansal2020,
    title = {{Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks}},
    year = {2020},
    booktitle = {COLING},
    author = {Bansal, Trapit and Jha, Rishikesh and Mccallum, Andrew},
    pages = {5108--5123}
}

@article{Radford2017,
    title = {{Learning to Generate Reviews and Discovering Sentiment}},
    year = {2017},
    author = {Radford, Alec and Jozefowicz, Rafal and Sutskever, Ilya},
    url = {http://arxiv.org/abs/1704.01444},
    arxivId = {1704.01444}
}

@article{Tseng2021a,
    title = {{Learning to predict crop type from heterogeneous sparse labels using meta-learning}},
    year = {2021},
    journal = {IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops},
    author = {Tseng, Gabriel and Kerner, Hannah and Nakalembe, Catherine and Becker-Reshef, Inbal},
    pages = {1111--1120},
    isbn = {9781665448994},
    doi = {10.1109/CVPRW53098.2021.00122},
    issn = {21607516}
}

@article{Radford2021,
    title = {{Learning Transferable Visual Models From Natural Language Supervision}},
    year = {2021},
    author = {Radford, Alec and Kim, Jong Wook and Hallacy, Chris and Ramesh, Aditya and Goh, Gabriel and Agarwal, Sandhini and Sastry, Girish and Askell, Amanda and Mishkin, Pamela and Clark, Jack and Krueger, Gretchen and Sutskever, Ilya},
    url = {http://arxiv.org/abs/2103.00020},
    arxivId = {2103.00020}
}

@inproceedings{Zhao2023b,
    title = {{Learning Video Representations from Large Language Models}},
    year = {2023},
    booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
    author = {Zhao, Yue and Misra, Ishan and Kr{\"{a}}henb{\"{u}}hl, Philipp and Girdhar, Rohit},
    number = {Figure 5},
    pages = {6586--6597},
    volume = {2023-June},
    isbn = {9798350301298},
    doi = {10.1109/CVPR52729.2023.00637},
    issn = {10636919},
    arxivId = {2212.04501},
    keywords = {Video: Action and event understanding}
}

@inproceedings{zhou2004LS,
    title = {{Learning with Local and Global Consistency}},
    year = {204},
    booktitle = {Advances in Neural Information Processing Systems},
    author = {Zhou, Dengyong and Bousquet, Olivier and Navin Lal, Thomas and Weston, Jason and Sch{\"{o}}lkopf, Bernhard},
    doi = {10.1080/00207160.2013.831082},
    issn = {10290265},
    keywords = {class prior knowledge, geodesic distance, label information, semi-supervised learning}
}

@article{Zhou2022a,
    title = {{Least-to-Most Prompting Enables Complex Reasoning in Large Language Models}},
    year = {2022},
    author = {Zhou, Denny and Sch{\"{a}}rli, Nathanael and Hou, Le and Wei, Jason and Scales, Nathan and Wang, Xuezhi and Schuurmans, Dale and Cui, Claire and Bousquet, Olivier and Le, Quoc and Chi, Ed},
    url = {http://arxiv.org/abs/2205.10625},
    arxivId = {2205.10625}
}

@article{Bibal2021,
    title = {{Legal requirements on explainability in machine learning}},
    year = {2021},
    journal = {Artificial Intelligence and Law},
    author = {Bibal, Adrien and Lognoul, Michael and de Streel, Alexandre and Fr{\'{e}}nay, Benoît},
    number = {2},
    pages = {149--169},
    volume = {29},
    publisher = {Springer Netherlands},
    url = {https://doi.org/10.1007/s10506-020-09270-4},
    isbn = {0123456789},
    doi = {10.1007/s10506-020-09270-4},
    issn = {15728382},
    keywords = {Explainability, Interpretability, Law, Machine learning}
}

@article{Chalkidis2020a,
    title = {{LEGAL-BERT: The muppets straight out of law school}},
    year = {2020},
    journal = {Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020},
    author = {Chalkidis, Ilias and Fergadiotis, Manos and Malakasiotis, Prodromos and Aletras, Nikolaos and Androutsopoulos, Ion},
    number = {i},
    pages = {2898--2904},
    isbn = {9781952148903},
    doi = {10.18653/v1/2020.findings-emnlp.261},
    arxivId = {2010.02559}
}

@article{Dubois2024,
    title = {{Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators}},
    year = {2024},
    author = {Dubois, Yann and Galambosi, Balázs and Liang, Percy and Hashimoto, Tatsunori B.},
    pages = {1--11},
    url = {http://arxiv.org/abs/2404.04475},
    arxivId = {2404.04475}
}

@article{Argyle2023,
    title = {{Leveraging AI for democratic discourse: Chat interventions can improve online political conversations at scale}},
    year = {2023},
    journal = {Proceedings of the National Academy of Sciences of the United States of America},
    author = {Argyle, Lisa P and Bail, Christopher A and Busby, Ethan C and Gubler, Joshua R. and Howe, Thomas and Rytting, Christopher and Sorensen, Taylor and Wingate, David},
    number = {41},
    pages = {1--8},
    volume = {120},
    isbn = {2311627120},
    doi = {10.1073/pnas.2311627120},
    issn = {10916490},
    pmid = {37788311}
}

@article{SainteFareGarnot2021,
    title = {{Leveraging Class Hierarchies with Metric-Guided Prototype Learning}},
    year = {2021},
    journal = {BMVC 2021 - Proceedings of the British Machine Vision Conference 2021},
    author = {Sainte Fare Garnot, Vivien and Landrieu, Loic}
}

@article{SainteFareGarnot2021b,
    title = {{Leveraging Class Hierarchies with Metric-Guided Prototype Learning}},
    year = {2021},
    journal = {BMVC 2021 - Proceedings of the British Machine Vision Conference 2021},
    author = {Sainte Fare Garnot, Vivien and Landrieu, Loic}
}

@article{Naacl-hlt2021a,
    title = {{Leveraging Dependency Grammar for Fine-Grained Offensive Language Detection using Graph Convolutional Networks}},
    year = {2021},
    author = {Naacl-hlt, Anonymous}
}

@inproceedings{Acl1860,
    title = {{Leveraging Emotion-Specific features to improve Transformer performance for Emotion Classification}},
    year = {2022},
    booktitle = {WASSA},
    author = {Acl, Anonymous},
    pages = {1--5}
}

@inproceedings{Li2024d,
    title = {{Leveraging Large Language Models for NLG Evaluation: A Survey}},
    year = {2024},
    booktitle = {EMNLP},
    author = {Li, Zhen and Xu, Xiaohan and Shen, Tao and Xu, Can and Gu, Jia-Chen and Tao, Chongyang},
    pages = {16028--16045},
    url = {http://arxiv.org/abs/2401.07103},
    arxivId = {2401.07103}
}

@article{Chalkidis2021a,
    title = {{LexGLUE: A Benchmark Dataset for Legal Language Understanding in English}},
    year = {2021},
    journal = {SSRN Electronic Journal},
    author = {Chalkidis, Ilias and Jana, Abhik and Hartung, Dirk and Bommarito, Michael James and Androutsopoulos, Ion and Katz, Daniel Martin and Aletras, Nikolaos},
    pages = {4310--4330},
    volume = {1},
    doi = {10.2139/ssrn.3936759},
    arxivId = {2110.00976}
}

@article{Zhou2023,
    title = {{LIMA: Less Is More for Alignment}},
    year = {2023},
    author = {Zhou, Chunting and Liu, Pengfei and Xu, Puxin and Iyer, Srini and Sun, Jiao and Mao, Yuning and Ma, Xuezhe and Efrat, Avia and Yu, Ping and Yu, Lili and Zhang, Susan and Ghosh, Gargi and Lewis, Mike and Zettlemoyer, Luke and Levy, Omer},
    pages = {1--15},
    url = {http://arxiv.org/abs/2305.11206},
    arxivId = {2305.11206}
}

@article{Hernandez2024,
    title = {{Linearity of Relation Decoding in Transformer Language Models}},
    year = {2024},
    journal = {12th International Conference on Learning Representations, ICLR 2024},
    author = {Hernandez, Evan and Sharma, Arnab Sen and Haklay, Tal and Meng, Kevin and Wattenberg, Martin and Andreas, Jacob and Belinkov, Yonatan and Bau, David},
    arxivId = {2308.09124}
}

@article{Gonen2019,
    title = {{Lipstick on a pig: Debiasing methods cover up systematic gender biases in word embeddings but do not remove them}},
    year = {2019},
    journal = {NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference},
    author = {Gonen, Hila and Goldberg, Yoav},
    pages = {609--614},
    volume = {1},
    isbn = {9781950737130},
    arxivId = {1903.03862}
}

@article{Touvron2023a,
    title = {{Llama 2: Open Foundation and Fine-Tuned Chat Models}},
    year = {2023},
    author = {Touvron, Hugo and Martin, Louis and Stone, Kevin and Albert, Peter and Almahairi, Amjad and Babaei, Yasmine and Bashlykov, Nikolay and Batra, Soumya and Bhargava, Prajjwal and Bhosale, Shruti and Bikel, Dan and Blecher, Lukas and Ferrer, Cristian Canton and Chen, Moya and Cucurull, Guillem and Esiobu, David and Fernandes, Jude and Fu, Jeremy and Fu, Wenyin and Fuller, Brian and Gao, Cynthia and Goswami, Vedanuj and Goyal, Naman and Hartshorn, Anthony and Hosseini, Saghar and Hou, Rui and Inan, Hakan and Kardas, Marcin and Kerkez, Viktor and Khabsa, Madian and Kloumann, Isabel and Korenev, Artem and Koura, Punit Singh and Lachaux, Marie-Anne and Lavril, Thibaut and Lee, Jenya and Liskovich, Diana and Lu, Yinghai and Mao, Yuning and Martinet, Xavier and Mihaylov, Todor and Mishra, Pushkar and Molybog, Igor and Nie, Yixin and Poulton, Andrew and Reizenstein, Jeremy and Rungta, Rashi and Saladi, Kalyan and Schelten, Alan and Silva, Ruan and Smith, Eric Michael and Subramanian, Ranjan and Tan, Xiaoqing Ellen and Tang, Binh and Taylor, Ross and Williams, Adina and Kuan, Jian Xiang and Xu, Puxin and Yan, Zheng and Zarov, Iliyan and Zhang, Yuchen and Fan, Angela and Kambadur, Melanie and Narang, Sharan and Rodriguez, Aurelien and Stojnic, Robert and Edunov, Sergey and Scialom, Thomas},
    url = {http://arxiv.org/abs/2307.09288},
    arxivId = {2307.09288}
}

@article{Gao2023,
    title = {{LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model}},
    year = {2023},
    author = {Gao, Peng and Han, Jiaming and Zhang, Renrui and Lin, Ziyi and Geng, Shijie and Zhou, Aojun and Zhang, Wei and Lu, Pan and He, Conghui and Yue, Xiangyu and Li, Hongsheng and Qiao, Yu},
    url = {http://arxiv.org/abs/2304.15010},
    arxivId = {2304.15010}
}

@article{Zhang2023,
    title = {{LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention}},
    year = {2023},
    author = {Zhang, Renrui and Han, Jiaming and Zhou, Aojun and Hu, Xiangfei and Yan, Shilin and Lu, Pan and Li, Hongsheng and Gao, Peng and Qiao, Yu},
    pages = {1--18},
    url = {http://arxiv.org/abs/2303.16199},
    arxivId = {2303.16199}
}

@article{Touvron2023,
    title = {{LLaMA: Open and Efficient Foundation Language Models}},
    year = {2023},
    author = {Touvron, Hugo and Lavril, Thibaut and Izacard, Gautier and Martinet, Xavier and Lachaux, Marie-Anne and Lacroix, Timothée and Rozi{\`{e}}re, Baptiste and Goyal, Naman and Hambro, Eric and Azhar, Faisal and Rodriguez, Aurelien and Joulin, Armand and Grave, Edouard and Lample, Guillaume},
    url = {http://arxiv.org/abs/2302.13971},
    arxivId = {2302.13971}
}

@article{Shi2024b,
    title = {{LlamaFusion: Adapting Pretrained Language Models for Multimodal Generation}},
    year = {2024},
    author = {Shi, Weijia and Han, Xiaochuang and Zhou, Chunting and Liang, Weixin and Lin, Xi Victoria and Zettlemoyer, Luke and Yu, Lili},
    pages = {1--15},
    url = {http://arxiv.org/abs/2412.15188},
    arxivId = {2412.15188}
}

@article{Li2024a,
    title = {{LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models}},
    year = {2024},
    author = {Li, Feng and Zhang, Renrui and Zhang, Hao and Zhang, Yuanhan and Li, Bo and Li, Wei and Ma, Zejun and Li, Chunyuan},
    url = {http://arxiv.org/abs/2407.07895},
    arxivId = {2407.07895}
}

@article{Whitehouse2023,
    title = {{LLM-powered Data Augmentation for Enhanced Cross-lingual Performance}},
    year = {2023},
    author = {Whitehouse, Chenxi and Choudhury, Monojit and Aji, Alham},
    pages = {671--686},
    doi = {10.18653/v1/2023.emnlp-main.44},
    arxivId = {2305.14288}
}

@article{Orgad2024,
    title = {{LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations}},
    year = {2024},
    author = {Orgad, Hadas and Toker, Michael and Gekhman, Zorik and Reichart, Roi and Szpektor, Idan and Kotek, Hadas and Belinkov, Yonatan},
    pages = {1--31},
    url = {http://arxiv.org/abs/2410.02707},
    arxivId = {2410.02707}
}

@article{Zheng2024,
    title = {{Lmsys-Chat-1M: a Large-Scale Real-World Llm Conversation Dataset}},
    year = {2024},
    journal = {12th International Conference on Learning Representations, ICLR 2024},
    author = {Zheng, Lianmin and Chiang, Wei Lin and Sheng, Ying and Li, Tianle and Zhuang, Siyuan and Wu, Zhanghao and Zhuang, Yonghao and Li, Zhuohan and Lin, Zi and Xing, Eric P. and Gonzalez, Joseph E. and Stoica, Ion and Zhang, Hao},
    pages = {1--33},
    arxivId = {2309.11998}
}

@article{Meng2022a,
    title = {{Locating and Editing Factual Associations in GPT}},
    year = {2022},
    author = {Meng, Kevin and Bau, David and Andonian, Alex and Belinkov, Yonatan},
    number = {NeurIPS},
    url = {http://arxiv.org/abs/2202.05262},
    arxivId = {2202.05262}
}

@inproceedings{Al-Olimat2017,
    title = {{Location name extraction from targeted text streams using gazetteer-based statistical language models}},
    year = {2018},
    booktitle = {Proceedings ofthe 27th International Conference on Computational Linguistics,},
    author = {Al-Olimat, Hussein S. and Thirunarayan, Krishnaprasad and Shalin, Valerie L. and Sheth, Amit},
    pages = {1986--1997},
    issn = {23318422},
    arxivId = {1708.03105}
}

@article{Hochreiter1997,
    title = {{LONG SHORT-TERM MEMORY}},
    year = {1997},
    journal = {Neural Computation},
    author = {Hochreiter, Sepp and Schmidhuber, Jurgen},
    number = {8},
    pages = {1735--1780},
    volume = {9},
    isbn = {08997667 (ISSN)},
    doi = {10.1162/neco.1997.9.8.1735},
    issn = {0899-7667},
    pmid = {9377276},
    arxivId = {1206.2944}
}

@article{Zhu2021,
    title = {{Long-Short Transformer: Efficient Transformers for Language and Vision}},
    year = {2021},
    author = {Zhu, Chen and Ping, Wei and Xiao, Chaowei and Shoeybi, Mohammad and Goldstein, Tom and Anandkumar, Anima and Catanzaro, Bryan},
    number = {NeurIPS},
    pages = {1--21},
    url = {http://arxiv.org/abs/2107.02192},
    arxivId = {2107.02192}
}

@article{Beltagy2020,
    title = {{Longformer: The Long-Document Transformer}},
    year = {2020},
    author = {Beltagy, Iz and Peters, Matthew E. and Cohan, Arman},
    url = {http://arxiv.org/abs/2004.05150},
    arxivId = {2004.05150}
}

@article{Guo2021,
    title = {{LongT5: Efficient Text-To-Text Transformer for Long Sequences}},
    year = {2021},
    author = {Guo, Mandy and Ainslie, Joshua and Uthus, David and Ontanon, Santiago and Ni, Jianmo and Sung, Yun-Hsuan and Yang, Yinfei},
    url = {http://arxiv.org/abs/2112.07916},
    arxivId = {2112.07916}
}

@inproceedings{Fel2021a,
    title = {{Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis}},
    year = {2021},
    booktitle = {Advances in Neural Information Processing Systems},
    author = {Fel, Thomas and Cad{\`{e}}ne, Rémi and Chalvidal, Mathieu and Cord, Matthieu and Vigouroux, David and Serre, Thomas},
    number = {April},
    pages = {26005--26014},
    volume = {31},
    isbn = {9781713845393},
    issn = {10495258},
    arxivId = {2111.04138}
}

@article{hu2021lora,
    title = {{Lora: Low-rank adaptation of large language models}},
    year = {2021},
    journal = {arXiv preprint arXiv:2106.09685},
    author = {Hu, Edward J and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu}
}

@article{buc2015losing,
    title = {{Losing the boundary: Cognition biases action well after action selection.}},
    year = {2015},
    journal = {Journal of Experimental Psychology: General},
    author = {Buc Calderon, Cristian and Verguts, Tom and Gevers, Wim},
    number = {4},
    pages = {737},
    volume = {144},
    publisher = {American Psychological Association}
}

@article{Troiano2020,
    title = {{Lost in Back-Translation: Emotion Preservation in Neural Machine Translation}},
    year = {2020},
    journal = {Coling},
    author = {Troiano, Enrica and Klinger, Roman and Pad{\'{o}}, Sebastian},
    pages = {4340--4354},
    doi = {10.18653/v1/2020.coling-main.384}
}

@article{Wolfe2021,
    title = {{Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models}},
    year = {2021},
    journal = {EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings},
    author = {Wolfe, Robert and Caliskan, Aylin},
    number = {2018},
    pages = {518--532},
    isbn = {9781955917094},
    doi = {10.18653/v1/2021.emnlp-main.41},
    arxivId = {2110.00672}
}

@inproceedings{Tan2019,
    title = {{LXMERT: Learning Cross-Modality Encoder Representations from Transformers}},
    year = {2019},
    booktitle = {EMNLP},
    author = {Tan, Hao and Bansal, Mohit},
    pages = {5099--5110},
    doi = {10.18653/v1/d19-1514},
    arxivId = {1908.07490}
}

@article{Mestre2021,
    title = {{M-Arg: Multimodal Argument Mining Dataset for Political Debates with Audio and Transcripts}},
    year = {2021},
    journal = {8th Workshop on Argument Mining, ArgMining 2021 - Proceedings},
    author = {Mestre, Rafael and Milicin, Razvan and Middleton, Stuart E. and Ryan, Matt and Zhu, Jiatong and Norman, Timothy J.},
    number = {2014},
    pages = {78--88},
    isbn = {9781954085923},
    doi = {10.18653/v1/2021.argmining-1.8}
}

@article{Huang2020,
    title = {{M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-training}},
    year = {2020},
    author = {Huang, Haoyang and Su, Lin and Qi, Di and Duan, Nan and Cui, Edward and Bharti, Taroon and Zhang, Lei and Wang, Lijuan and Gao, Jianfeng and Liu, Bei and Fu, Jianlong and Zhang, Dongdong and Liu, Xin and Zhou, Ming},
    number = {ii},
    url = {http://arxiv.org/abs/2006.02635},
    arxivId = {2006.02635}
}

@inproceedings{He2024,
    title = {{MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding}},
    year = {2024},
    booktitle = {CVPR},
    author = {He, Bo and Li, Hengduo and Jang, Young Kyun and Jia, Menglin and Cao, Xuefei and Shah, Ashish and Shrivastava, Abhinav and Lim, Ser-Nam},
    pages = {13504--13514},
    url = {http://arxiv.org/abs/2404.05726},
    arxivId = {2404.05726}
}

@misc{Angwin2016bias,
    title = {{Machine bias}},
    booktitle = {2016},
    author = {Angwin, J. and Larson, J. and Mattu, S. and Kirchner, L.},
    pages = {https://www.propublica.org/article/machine-bias-ri}
}

@article{Anderson2020,
    title = {{Machine ethics: Creating an ethical intelligent agent}},
    year = {2020},
    journal = {Machine Ethics and Robot Ethics},
    author = {Anderson, Michael and Anderson, Susan Leigh},
    number = {December 2007},
    pages = {237--248},
    isbn = {9781000108934},
    doi = {10.4324/9781003074991-22}
}

@article{Francis2024,
    title = {{Major TOM: Expandable Datasets for Earth Observation}},
    year = {2024},
    author = {Francis, Alistair and Czerkawski, Mikolaj},
    pages = {2--7},
    url = {http://arxiv.org/abs/2402.12095},
    arxivId = {2402.12095}
}

@inproceedings{Li2023e,
    title = {{Making Large Language Models Better Reasoners with Step-Aware Verifier}},
    year = {2023},
    booktitle = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Li, Yifei and Lin, Zeqi and Zhang, Shizhuo and Fu, Qiang and Chen, Bei and Lou, Jian Guang and Chen, Weizhu},
    pages = {5315--5333},
    volume = {1},
    isbn = {9781959429722},
    doi = {10.18653/v1/2023.acl-long.291},
    issn = {0736587X},
    arxivId = {2206.02336}
}

@inproceedings{Ge2024,
    title = {{MAKING LLAMA SEE AND DRAW WITH SEED TOKENIZER}},
    year = {2024},
    booktitle = {ICLR},
    author = {Ge, Yuying and Ge, Yixiao and Zeng, Ziyun and Wang, Xintao and Shan, Ying},
    pages = {1--26}
}

@article{Labropoulou2020,
    title = {{Making metadata fit for next generation language technology platforms: The metadata schema of the european language grid}},
    year = {2020},
    journal = {LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings},
    author = {Labropoulou, Penny and Gkirtzou, Katerina and Gavriilidou, Maria and Deligiannis, Miltos and Galanis, Dimitrios and Piperidis, Stelios and Rehm, Georg and Berger, Maria and Mapelli, Valérie and Rigault, Mickaël and Arranz, Victoria and Choukri, Khalid and Backfried, Gerhard and P{\'{e}}rez, José Manuel Gómez and Silva, Andres Garcia},
    number = {May 2020},
    pages = {3428--3437},
    isbn = {9791095546344},
    keywords = {Language resources, Language technology, Language technology services, Metadata}
}

@article{Reimers2020,
    title = {{Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation}},
    year = {2020},
    author = {Reimers, Nils and Gurevych, Iryna},
    url = {http://arxiv.org/abs/2004.09813},
    arxivId = {2004.09813}
}

@article{Gao2021,
    title = {{Making pre-trained language models better few-shot learners}},
    year = {2021},
    journal = {ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference},
    author = {Gao, Tianyu and Fisch, Adam and Chen, Danqi},
    pages = {3816--3830},
    isbn = {9781954085527},
    doi = {10.18653/v1/2021.acl-long.295},
    arxivId = {2012.15723}
}

@inproceedings{Paul2024,
    title = {{Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning}},
    year = {2024},
    booktitle = {ACL},
    author = {Paul, Debjit and West, Robert and Bosselut, Antoine and Faltings, Boi},
    pages = {15012--15032},
    url = {http://arxiv.org/abs/2402.13950},
    arxivId = {2402.13950}
}

@inproceedings{Mancini2024a,
    title = {{MAMKit: A Comprehensive Multimodal Argument Mining Toolkit}},
    year = {2024},
    booktitle = {Proceedings of the 11th Workshop on Argument Mining (ArgMining 2024)},
    author = {Mancini, Eleonora and Ruggeri, Federico and Colamonaco, Stefano and Zecca, Andrea and Marro, Samuele and Torroni, Paolo},
    pages = {69--82},
    url = {https://github.com/lt-nlp-lab-unibo/mamkit}
}

@article{Mathet2012,
    title = {{Manual Corpus Annotation: Giving Meaning to the Evaluation Metrics}},
    year = {2012},
    author = {Mathet, Yann and Widl{\"{o}}cher, Antoine and Fort, Karën and Fran{\c{c}}ois, Claire and Galibert, Olivier and Grouin, Cyril and Kahn, Juliette and Rosset, Sophie and Zweigenbaum, Pierre},
    number = {December 2012},
    pages = {809--818},
    url = {http://www.aclweb.org/anthology/C12-2079},
    keywords = {evaluation 809, inter-annotator agreement, manual corpus annotation}
}

@article{Priniski2021,
    title = {{Mapping Moral Valence of Tweets Following the Killing of George Floyd}},
    year = {2021},
    author = {Priniski, J Hunter and Mokhberian, Negar and Harandizadeh, Bahareh and Morstatter, Fred and Lerman, Kristina and Lu, Hongjing and Brantingham, P Jeffrey}
}

@article{Camara2021,
    title = {{Mapping the Multilingual Margins : Intersectional Biases of Sentiment Analysis Systems}},
    year = {2021},
    author = {C{\^{a}}mara, António and Taneja, Nina and Azad, Tamjeed and Allaway, Emily and Zemel, Richard},
    arxivId = {arXiv:2204.03558v1}
}

@inproceedings{Camara2022,
    title = {{Mapping the Multilingual Margins: Intersectional Biases of Sentiment Analysis Systems in English, Spanish, and Arabic}},
    year = {2022},
    booktitle = {LTEDI 2022 - 2nd Workshop on Language Technology for Equality, Diversity and Inclusion, Proceedings of the Workshop},
    author = {C{\^{a}}mara, António and Taneja, Nina and Azad, Tamjeed and Allaway, Emily and Zemel, Richard},
    pages = {90--106},
    isbn = {9781955917438},
    doi = {10.18653/v1/2022.ltedi-1.11},
    arxivId = {2204.03558}
}

@article{He2020a,
    title = {{Mask R-CNN}},
    year = {2020},
    journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
    author = {He, Kaiming and Gkioxari, Georgia and Doll{\'{a}}r, Piotr and Girshick, Ross},
    number = {2},
    pages = {386--397},
    volume = {42},
    doi = {10.1109/TPAMI.2018.2844175},
    issn = {19393539},
    pmid = {29994331},
    arxivId = {1703.06870},
    keywords = {Instance segmentation, convolutional neural network, object detection, pose estimation}
}

@inproceedings{Salazar2020,
    title = {{Masked language model scoring}},
    year = {2020},
    booktitle = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Salazar, Julian and Liang, Davis and Nguyen, Toan Q and Kirchhoff, Katrin},
    number = {Figure 1},
    pages = {2699--2712},
    isbn = {9781952148255},
    doi = {10.18653/v1/2020.acl-main.240},
    issn = {0736587X},
    arxivId = {1910.14659}
}

@inproceedings{Meng2022,
    title = {{Mass-Editing Memory in a Transformer}},
    year = {2023},
    booktitle = {ICLR},
    author = {Meng, Kevin and Sharma, Arnab Sen and Andonian, Alex and Belinkov, Yonatan and Bau, David},
    url = {http://arxiv.org/abs/2210.07229},
    arxivId = {2210.07229}
}

@article{Rahimi2020,
    title = {{Massively multilingual transfer for NER}},
    year = {2020},
    journal = {ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Rahimi, Afshin and Li, Yuan and Cohn, Trevor},
    pages = {151--164},
    isbn = {9781950737482},
    doi = {10.18653/v1/p19-1015},
    arxivId = {1902.00193}
}

@article{Varab2021,
    title = {{MassiveSumm: a very large-scale, very multilingual, newswire summarisation dataset}},
    year = {2021},
    journal = {EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings},
    author = {Varab, Daniel and Schluter, Natalie},
    number = {Section 5},
    pages = {10150--10161},
    isbn = {9781955917094},
    doi = {10.18653/v1/2021.emnlp-main.797}
}

@inproceedings{Barriere2019,
    title = {{May I Check Again? -- A simple but efficient way to generate and use contextual dictionaries for Named Entity Recognition. Application to French Legal Texts}},
    year = {2019},
    booktitle = {NoDaLiDa},
    author = {Barriere, Valentin and Fouret, Amaury},
    url = {http://arxiv.org/abs/1909.03453},
    arxivId = {1909.03453}
}

@article{Zhang2022,
    title = {{MCSE: Multimodal Contrastive Learning of Sentence Embeddings}},
    year = {2022},
    author = {Zhang, Miaoran and Mosbach, Marius and Adelani, David Ifeoluwa and Hedderich, Michael A. and Klakow, Dietrich},
    url = {http://arxiv.org/abs/2204.10931},
    arxivId = {2204.10931}
}

@article{Passonneau2006,
    title = {{Measuring agreement on set-valued items (MASI) for semantic and pragmatic annotation}},
    year = {2006},
    journal = {Proceedings of the 5th International Conference on Language Resources and Evaluation, LREC 2006},
    author = {Passonneau, Rebecca},
    pages = {831--836}
}

@article{Press2022,
    title = {{Measuring and Narrowing the Compositionality Gap in Language Models}},
    year = {2022},
    author = {Press, Ofir and Zhang, Muru and Min, Sewon and Schmidt, Ludwig and Smith, Noah A. and Lewis, Mike},
    url = {http://arxiv.org/abs/2210.03350},
    arxivId = {2210.03350}
}

@article{Kurita2019a,
    title = {{Measuring Bias in Contextualized Word Representations}},
    year = {2019},
    author = {Kurita, Keita and Vyas, Nidhi and Pareek, Ayush and Black, Alan W and Tsvetkov, Yulia},
    pages = {166--172},
    doi = {10.18653/v1/w19-3823},
    arxivId = {1906.07337}
}

@article{Kurita2019,
    title = {{Measuring Bias in Contextualized Word Representations}},
    year = {2019},
    author = {Kurita, Keita and Vyas, Nidhi and Pareek, Ayush and Black, Alan W and Tsvetkov, Yulia},
    pages = {166--172},
    doi = {10.18653/v1/w19-3823},
    arxivId = {1906.07337}
}

@article{Lanham2023,
    title = {{Measuring Faithfulness in Chain-of-Thought Reasoning}},
    year = {2023},
    author = {Lanham, Tamera and Chen, Anna and Radhakrishnan, Ansh and Steiner, Benoit and Denison, Carson and Hernandez, Danny and Li, Dustin and Durmus, Esin and Hubinger, Evan and Kernion, Jackson and Luko{\v{s}}i{\={u}}t{\.{e}}, Kamilė and Nguyen, Karina and Cheng, Newton and Joseph, Nicholas and Schiefer, Nicholas and Rausch, Oliver and Larson, Robin and McCandlish, Sam and Kundu, Sandipan and Kadavath, Saurav and Yang, Shannon and Henighan, Thomas and Maxwell, Timothy and Telleen-Lawton, Timothy and Hume, Tristan and Hatfield-Dodds, Zac and Kaplan, Jared and Brauner, Jan and Bowman, Samuel R. and Perez, Ethan},
    url = {http://arxiv.org/abs/2307.13702},
    arxivId = {2307.13702}
}

@inproceedings{Hendrycks2020,
    title = {{Measuring Massive Multitask Language Understanding}},
    year = {2021},
    booktitle = {ICLR},
    author = {Hendrycks, Dan and Burns, Collin and Basart, Steven and Zou, Andy and Mazeika, Mantas and Song, Dawn and Steinhardt, Jacob},
    url = {http://arxiv.org/abs/2009.03300},
    arxivId = {2009.03300}
}

@article{Hendrycks2021,
    title = {{MEASURING MASSIVE MULTITASK LANGUAGE UNDERSTANDING}},
    year = {2021},
    journal = {Iclr},
    author = {Hendrycks, Dan and Mazeika, Mantas and Burns, Collin and Song, Dawn and Zou, Andy and Steinhardt, Jacob and Berkeley, U C}
}

@article{Wang2022d,
    title = {{Measuring Representational Harms in Image Captioning}},
    year = {2022},
    journal = {ACM International Conference Proceeding Series},
    author = {Wang, Angelina and Barocas, Solon and Laird, Kristen and Wallach, Hanna},
    number = {1},
    pages = {324--335},
    volume = {1},
    publisher = {Association for Computing Machinery},
    isbn = {9781450393522},
    doi = {10.1145/3531146.3533099},
    arxivId = {2206.07173},
    keywords = {fairness measurement, harm propagation, image captioning}
}

@article{Alam2022,
    title = {{MEDIC: a multi-task learning dataset for disaster image classification}},
    year = {2022},
    journal = {Neural Computing and Applications},
    author = {Alam, Firoj and Alam, Tanvirul and Hasan, Md Arid and Hasnat, Abul and Imran, Muhammad and Ofli, Ferda},
    doi = {10.1007/s00521-022-07717-0},
    issn = {14333058},
    arxivId = {2108.12828},
    keywords = {Crisis informatics, Dataset, Deep learning, Image classification, Multi-task learning, Natural disasters, Social media images}
}

@inproceedings{Firdaus2020,
    title = {{MEISD : A Multimodal Multi-Label Emotion , Intensity and Sentiment Dialogue Dataset for Emotion Recognition and Sentiment Analysis in Conversations}},
    year = {2020},
    booktitle = {COLING},
    author = {Firdaus, Mauajama and Chauhan, Hardik and Ekbal, Asif and Bhattacharyya, Pushpak},
    pages = {4441--4453}
}

@inproceedings{Poria2019a,
    title = {{MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations}},
    year = {2019},
    booktitle = {ACL},
    author = {Poria, Soujanya and Hazarika, Devamanyu and Majumder, Navonil and Naik, Gautam and Cambria, Erik and Mihalcea, Rada},
    pages = {527--536},
    doi = {10.18653/v1/p19-1050},
    arxivId = {1810.02508}
}

@article{Matero2021,
    title = {{MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection}},
    year = {2021},
    journal = {Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021},
    author = {Matero, Matthew and Soni, Nikita and Balasubramanian, Niranjan and Schwartz, H. Andrew},
    number = {2},
    pages = {2959--2966},
    isbn = {9781955917100},
    doi = {10.18653/v1/2021.findings-emnlp.253},
    arxivId = {2109.08113}
}

@phdthesis{Pochet2021,
    title = {{M{\'{e}}moire de Master: ANALYSE DE LA JUXTAPOSITION DE CRISES AU BURKINA FASO}},
    year = {2021},
    author = {Pochet, Anne-Sophie},
    school = {ULi{\`{e}}ge ; UCLouvain}
}

@inproceedings{Zadeh2018a,
    title = {{Memory Fusion Network for Multi-view Sequential Learning}},
    year = {2018},
    booktitle = {AAAI},
    author = {Zadeh, Amir and Liang, Paul Pu and Mazumder, Navonil and Poria, Soujanya and Cambria, Erik and Morency, Louis-Philippe},
    arxivId = {arXiv:1802.00927v1}
}

@article{Wu2022,
    title = {{MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition}},
    year = {2022},
    author = {Wu, Chao-Yuan and Li, Yanghao and Mangalam, Karttikeya and Fan, Haoqi and Xiong, Bo and Malik, Jitendra and Feichtenhofer, Christoph},
    pages = {13577--13587},
    doi = {10.1109/cvpr52688.2022.01322},
    arxivId = {2201.08383}
}

@article{Tam2023,
    title = {{Merging by Matching Models in Task Subspaces}},
    year = {2023},
    author = {Tam, Derek and Bansal, Mohit and Raffel, Colin},
    pages = {1--24},
    url = {http://arxiv.org/abs/2312.04339},
    arxivId = {2312.04339}
}

@article{Pham2021,
    title = {{Meta Pseudo Labels}},
    year = {2021},
    journal = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
    author = {Pham, Hieu and Dai, Zihang and Xie, Qizhe and Le, Quoc V.},
    pages = {11553--11563},
    isbn = {9781665445092},
    doi = {10.1109/CVPR46437.2021.01139},
    issn = {10636919},
    arxivId = {2003.10580}
}

@inproceedings{Russwurm2019meta,
    title = {{Meta-Learning for Few-Shot Land Cover Classification}},
    year = {2019},
    booktitle = {IEEE/CVF conference on computer vision and pattern recognition workshops},
    author = {Ru{\ss}wurm, Marc and Wang, Sherrie and K{\"{o}}rner, Marco and Lobell, David}
}

@article{Wang2020c,
    title = {{Meta-learning for few-shot time series classification}},
    year = {2020},
    journal = {CVPR Workshops},
    author = {Wang, Sherrie and Ruswurm, Marc and Korner, Marco and Lobell, David B.},
    pages = {7041--7044},
    volume = {2020-Janua},
    doi = {10.1109/IGARSS39084.2020.9441016},
    arxivId = {1909.07155},
    keywords = {MODIS, Meta learning, classification, deep learning, land cover, time series, transfer learning}
}

@article{Wang2020cb,
    title = {{Meta-learning for few-shot time series classification}},
    year = {2020},
    journal = {CVPR Workshops},
    author = {Wang, Sherrie and Ruswurm, Marc and Korner, Marco and Lobell, David B.},
    pages = {7041--7044},
    volume = {2020-Janua},
    doi = {10.1109/IGARSS39084.2020.9441016},
    arxivId = {1909.07155},
    keywords = {MODIS, Meta learning, classification, deep learning, land cover, time series, transfer learning}
}

@article{Ruwurm2024,
    title = {{Meta-learning to address diverse Earth observation problems across resolutions}},
    year = {2024},
    journal = {Nature Communications -- Earth and environment},
    author = {Ru{\ss}wurm, Marc and Wang, Sherrie and Kellenberger, Benjamin and Roscher, Ribana and Tuia, Devis},
    pages = {1--14},
    volume = {5},
    publisher = {Springer US},
    doi = {10.1038/s43247-023-01146-0}
}

@article{Ruwurm2024b,
    title = {{Meta-learning to address diverse Earth observation problems across resolutions}},
    year = {2024},
    journal = {Nature Communications -- Earth and environment},
    author = {Ru{\ss}wurm, Marc and Wang, Sherrie and Kellenberger, Benjamin and Roscher, Ribana and Tuia, Devis},
    pages = {1--14},
    volume = {5},
    publisher = {Springer US},
    doi = {10.1038/s43247-023-01146-0}
}

@article{Min2021,
    title = {{MetaICL: Learning to Learn In Context}},
    year = {2021},
    author = {Min, Sewon and Lewis, Mike and Zettlemoyer, Luke and Hajishirzi, Hannaneh},
    number = {1},
    url = {http://arxiv.org/abs/2110.15943},
    arxivId = {2110.15943}
}

@article{Lavie2007,
    title = {{METEOR: An automatic metric for MT evaluation with high levels of correlation with human judgments}},
    year = {2007},
    journal = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Lavie, Alon and Agarwal, Abhaya},
    number = {June},
    pages = {228--231},
    issn = {0736587X}
}

@article{Perez-Rua2019,
    title = {{MFAS: Multimodal fusion architecture search}},
    year = {2019},
    journal = {arXiv},
    author = {P{\'{e}}rez-R{\'{u}}a, Juan Manuel and Vielzeuf, Valentin and Pateux, Stéphane and Baccouche, Moez and Jurie, Frederic},
    issn = {23318422}
}

@inproceedings{Lin2014,
    title = {{Microsoft COCO: Common objects in context}},
    year = {2014},
    booktitle = {ECCV},
    author = {Lin, Tsung Yi and Maire, Michael and Belongie, Serge and Hays, James and Perona, Pietro and Ramanan, Deva and Doll{\'{a}}r, Piotr and Zitnick, C Lawrence},
    number = {PART 5},
    pages = {740--755},
    volume = {8693 LNCS},
    url = {https://cocodataset.org/#home},
    doi = {10.1007/978-3-319-10602-1{\_}48},
    issn = {16113349},
    arxivId = {1405.0312}
}

@inproceedings{Gu2024,
    title = {{Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments}},
    year = {2024},
    booktitle = {EMNLP},
    author = {Gu, Yu and Shu, Yiheng and Yu, Hao and Liu, Xiao and Dong, Yuxiao and Tang, Jie and Srinivasa, Jayanth and Latapie, Hugo and Su, Yu},
    url = {http://arxiv.org/abs/2402.14672},
    arxivId = {2402.14672}
}

@article{Fornaciari2018,
    title = {{MilaNLP @ WASSA : Does BERT Feel Sad When You Cry ?}},
    year = {2018},
    author = {Fornaciari, Tommaso and Nozza, Debora and Bianchi, Federico and Hovy, Dirk},
    pages = {1--4}
}

@inproceedings{Lazaridou2021,
    title = {{Mind the Gap: Assessing Temporal Generalization in Neural Language Models}},
    year = {2021},
    booktitle = {NEURIPS},
    author = {Lazaridou, Angeliki and Kuncoro, Adhiguna and Gribovskaya, Elena and Agrawal, Devang and Liska, Adam and Terzi, Tayfun and Gimenez, Mai and D'Autume, Cyprien de Masson and Kocisky, Tomas and Ruder, Sebastian and Yogatama, Dani and Cao, Kris and Young, Susannah and Blunsom, Phil},
    number = {NeurIPS},
    volume = {3},
    url = {http://arxiv.org/abs/2102.01951},
    arxivId = {2102.01951}
}

@article{Hazarika2020,
    title = {{MISA: Modality-invariant and -specific representations for multimodal sentiment analysis}},
    year = {2020},
    journal = {arXiv},
    author = {Hazarika, Devamanyu and Zimmermann, Roger and Poria, Soujanya},
    isbn = {9781450379885},
    issn = {23318422},
    arxivId = {2005.03545},
    keywords = {Multimodal sentiment analysis, representation lear}
}

@article{Sun2019c,
    title = {{Mitigating gender bias in natural language processing: Literature review}},
    year = {2019},
    journal = {arXiv},
    author = {Sun, Tony and Gaut, Andrew and Tang, Shirlyn and Huang, Yuxin and ElSherief, Mai and Zhao, Jieyu and Mirza, Diba and Belding, Elizabeth and Chang, Kai Wei and Wang, William Yang},
    number = {2017},
    pages = {1630--1640}
}

@article{Lahnala2022,
    title = {{Mitigating Toxic Degeneration with Empathetic Data: Exploring the Relationship Between Toxicity and Empathy}},
    year = {2022},
    journal = {NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference},
    author = {Lahnala, Allison and Welch, Charles and Neuendorf, Béla and Flek, Lucie},
    pages = {4926--4938},
    isbn = {9781955917711},
    doi = {10.18653/v1/2022.naacl-main.363},
    arxivId = {2205.07233}
}

@article{Zhang2018c,
    title = {{Mitigating Unwanted Biases with Adversarial Learning}},
    year = {2018},
    journal = {AIES 2018 - Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society},
    author = {Zhang, Brian Hu and Lemoine, Blake and Mitchell, Margaret},
    pages = {335--340},
    isbn = {9781450360128},
    doi = {10.1145/3278721.3278779},
    arxivId = {1801.07593},
    keywords = {adversarial learning, debiasing, multi-task learning, unbiasing}
}

@article{Jiang2024,
    title = {{Mixtral of Experts}},
    year = {2024},
    author = {Jiang, Albert Q. and Sablayrolles, Alexandre and Roux, Antoine and Mensch, Arthur and Savary, Blanche and Bamford, Chris and Chaplot, Devendra Singh and Casas, Diego de las and Hanna, Emma Bou and Bressand, Florian and Lengyel, Gianna and Bour, Guillaume and Lample, Guillaume and Lavaud, Lélio Renard and Saulnier, Lucile and Lachaux, Marie-Anne and Stock, Pierre and Subramanian, Sandeep and Yang, Sophia and Antoniak, Szymon and Scao, Teven Le and Gervet, Théophile and Lavril, Thibaut and Wang, Thomas and Lacroix, Timothée and Sayed, William El},
    url = {http://arxiv.org/abs/2401.04088},
    arxivId = {2401.04088}
}

@article{Liang2024,
    title = {{Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models}},
    year = {2024},
    author = {Liang, Weixin and Yu, Lili and Luo, Liang and Iyer, Srinivasan and Dong, Ning and Zhou, Chunting and Ghosh, Gargi and Lewis, Mike and Yih, Wen-tau and Zettlemoyer, Luke and Lin, Xi Victoria},
    url = {http://arxiv.org/abs/2411.04996},
    arxivId = {2411.04996}
}

@article{Nie2021,
    title = {{MLP Architectures for Vision-and-Language Modeling: An Empirical Study}},
    year = {2021},
    author = {Nie, Yixin and Li, Linjie and Gan, Zhe and Wang, Shuohang and Zhu, Chenguang and Zeng, Michael and Liu, Zicheng and Bansal, Mohit and Wang, Lijuan},
    url = {http://arxiv.org/abs/2112.04453},
    arxivId = {2112.04453}
}

@article{Yang2020a,
    title = {{MMED: A multi-domain and Multi-modality event dataset}},
    year = {2020},
    journal = {Information Processing and Management},
    author = {Yang, Zhenguo and Lin, Zehang and Guo, Lingni and Li, Qing and Liu, Wenyin},
    number = {6},
    volume = {57},
    doi = {10.1016/j.ipm.2020.102315},
    issn = {03064573},
    arxivId = {1904.02354},
    keywords = {Benchmark dataset, Cross-modal retrieval, Real-world event detection}
}

@inproceedings{Li2024f,
    title = {{MMedAgent: Learning to Use Medical Tools with Multi-modal Agent}},
    year = {2024},
    booktitle = {EMNLP},
    author = {Li, Binxu and Yan, Tiankai and Pan, Yuanting and Xu, Zhe and Luo, Jie and Ji, Ruiyang and Liu, Shilong and Dong, Haoyu and Lin, Zihao and Wang, Yixin},
    url = {http://arxiv.org/abs/2407.02483},
    arxivId = {2407.02483}
}

@inproceedings{Wang2024f,
    title = {{MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark}},
    year = {2024},
    booktitle = {NeurIPS},
    author = {Wang, Yubo and Ma, Xueguang and Zhang, Ge and Ni, Yuansheng and Chandra, Abhranil and Guo, Shiguang and Ren, Weiming and Arulraj, Aaran and He, Xuan and Jiang, Ziyan and Li, Tianle and Ku, Max and Wang, Kai and Zhuang, Alex and Fan, Rongqi and Yue, Xiang and Chen, Wenhu},
    pages = {1--24},
    url = {http://arxiv.org/abs/2406.01574},
    arxivId = {2406.01574}
}

@article{Wortsman2022,
    title = {{Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time}},
    year = {2022},
    author = {Wortsman, Mitchell and Ilharco, Gabriel and Gadre, Samir Yitzhak and Roelofs, Rebecca and Gontijo-Lopes, Raphael and Morcos, Ari S. and Namkoong, Hongseok and Farhadi, Ali and Carmon, Yair and Kornblith, Simon and Schmidt, Ludwig},
    url = {http://arxiv.org/abs/2203.05482},
    arxivId = {2203.05482}
}

@article{Finn2017,
    title = {{Model-agnostic meta-learning for fast adaptation of deep networks}},
    year = {2017},
    journal = {34th International Conference on Machine Learning, ICML 2017},
    author = {Finn, Chelsea and Abbeel, Pieter and Levine, Sergey},
    pages = {1856--1868},
    volume = {3},
    isbn = {9781510855144},
    arxivId = {1703.03400}
}

@article{Gong2023,
    title = {{Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers}},
    year = {2023},
    author = {Gong, Linyuan and Xiong, Chenyan and Liu, Xiaodong and Bajaj, Payal and Xie, Yiqing and Cheung, Alvin and Gao, Jianfeng and Song, Xia},
    url = {http://arxiv.org/abs/2305.12567},
    arxivId = {2305.12567}
}

@article{Buechel2020,
    title = {{Modeling empathy and distress in reaction to news stories}},
    year = {2018},
    journal = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018},
    author = {Buechel, Sven and Buffone, Anneke and Slaff, Barry and Ungar, Lyle and Sedoc, João},
    number = {2017},
    pages = {4758--4765},
    isbn = {9781948087841},
    doi = {10.18653/v1/d18-1507},
    arxivId = {1808.10399}
}

@article{Yalcn2020,
    title = {{Modeling empathy: building a link between affective and cognitive processes}},
    year = {2020},
    journal = {Artificial Intelligence Review},
    author = {Yal{\c{c}}ın, Özge Nilay and DiPaola, Steve},
    number = {4},
    pages = {2983--3006},
    volume = {53},
    publisher = {Springer Netherlands},
    url = {https://doi.org/10.1007/s10462-019-09753-0},
    doi = {10.1007/s10462-019-09753-0},
    issn = {15737462},
    keywords = {Affective computing, Artificial agents, Cognitive modeling, Empathy}
}

@article{Ajjour2019a,
    title = {{Modeling frames in argumentation}},
    year = {2019},
    journal = {EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference},
    author = {Ajjour, Yamen and Alshomary, Milad and Wachsmuth, Henning and Stein, Benno},
    pages = {2922--2932},
    isbn = {9781950737901},
    doi = {10.18653/v1/d19-1290}
}

@inproceedings{Bousmalis2011,
    title = {{Modeling hidden dynamics of multimodal cues for spontaneous agreement and disagreement recognition}},
    year = {2011},
    booktitle = {2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011},
    author = {Bousmalis, Konstantinos and Morency, Louis-Philippe and Pantic, Maja},
    isbn = {9781424491407},
    doi = {10.1109/FG.2011.5771341}
}

@article{Hofmann2022,
    title = {{Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity}},
    year = {2022},
    journal = {Findings of the Association for Computational Linguistics: NAACL 2022 - Findings},
    author = {Hofmann, Valentin and Dong, Xiaowen and Pierrehumbert, Janet B. and Sch{\"{u}}tze, Hinrich},
    pages = {536--550},
    isbn = {9781955917766},
    doi = {10.18653/v1/2022.findings-naacl.41},
    arxivId = {2104.08829}
}

@article{Petukhova2015,
    title = {{Modelling argumentation in parliamentary debates}},
    year = {2015},
    journal = {Proceedings of CMNA 2015},
    author = {Petukhova, Volha and Malchanau, Andrei and Bunt, Harry},
    url = {http://cmna.csc.liv.ac.uk/CMNA15/paper 6.pdf}
}

@article{Petukhova2016,
    title = {{Modelling argumentative behaviour in parliamentary debates: Data collection, analysis and test case}},
    year = {2017},
    journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    author = {Petukhova, Volha and Malchanau, Andrei and Bunt, Harry},
    pages = {26--46},
    volume = {9935 LNAI},
    isbn = {9783319462172},
    doi = {10.1007/978-3-319-46218-9{\_}3},
    issn = {16113349}
}

@article{Fang2022a,
    title = {{Modelling Stance Detection as Textual Entailment Recognition and Leveraging Measurement Knowledge from Social Sciences}},
    year = {2022},
    author = {Fang, Qixiang and Giachanou, Anastasia and Bagheri, Ayoub},
    url = {http://arxiv.org/abs/2212.06543},
    arxivId = {2212.06543}
}

@article{Deitke2024,
    title = {{Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models}},
    year = {2024},
    author = {Deitke, Matt and Clark, Christopher and Lee, Sangho and Tripathi, Rohun and Yang, Yue and Park, Jae Sung and Salehi, Mohammadreza and Muennighoff, Niklas and Lo, Kyle and Soldaini, Luca and Lu, Jiasen and Anderson, Taira and Bransom, Erin and Ehsani, Kiana and Ngo, Huong and Chen, Yensung and Patel, Ajay and Yatskar, Mark and Callison-Burch, Chris and Head, Andrew and Hendrix, Rose and Bastani, Favyen and VanderBilt, Eli and Lambert, Nathan and Chou, Yvonne and Chheda, Arnavi and Sparks, Jenna and Skjonsberg, Sam and Schmitz, Michael and Sarnat, Aaron and Bischoff, Byron and Walsh, Pete and Newell, Chris and Wolters, Piper and Gupta, Tanmay and Zeng, Kuo-Hao and Borchardt, Jon and Groeneveld, Dirk and Dumas, Jen and Nam, Crystal and Lebrecht, Sophie and Wittlif, Caitlin and Schoenick, Carissa and Michel, Oscar and Krishna, Ranjay and Weihs, Luca and Smith, Noah A and Hajishirzi, Hannaneh and Girshick, Ross and Farhadi, Ali and Kembhavi, Aniruddha},
    url = {http://arxiv.org/abs/2409.17146},
    arxivId = {2409.17146}
}

@article{Sander2021,
    title = {{Momentum Residual Neural Networks}},
    year = {2021},
    author = {Sander, Michael E. and Ablin, Pierre and Blondel, Mathieu and Peyr{\'{e}}, Gabriel},
    url = {http://arxiv.org/abs/2102.07870},
    arxivId = {2102.07870}
}

@article{Tanev2017,
    title = {{Monitoring disaster impact: Detecting micro-events and eyewitness reports in mainstream and social media}},
    year = {2017},
    journal = {Proceedings of the International ISCRAM Conference},
    author = {Tanev, Hristo and Zavarella, Vanni and Steinberger, Josef},
    number = {May},
    pages = {592--602},
    volume = {2017-May},
    issn = {24113387},
    keywords = {Crisis computing, Disaster effects, Machine learning, Natural language processing, Social media}
}

@article{Boryan2011,
    title = {{Monitoring US agriculture: The US department of agriculture, national agricultural statistics service, cropland data layer program}},
    year = {2011},
    journal = {Geocarto International},
    author = {Boryan, Claire and Yang, Zhengwei and Mueller, Rick and Craig, Mike},
    number = {5},
    pages = {341--358},
    volume = {26},
    doi = {10.1080/10106049.2011.562309},
    issn = {10106049},
    keywords = {Advanced wide field sensor, Agriculture, Crop estimates, Cropland classification}
}

@book{Graham2013,
    title = {{Moral Foundations Theory: The Pragmatic Validity of Moral Pluralism}},
    year = {2013},
    booktitle = {Advances in Experimental Social Psychology},
    author = {Graham, Jesse and Haidt, Jonathan and Koleva, Sena and Motyl, Matt and Iyer, Ravi and Wojcik, Sean P. and Ditto, Peter H.},
    edition = {1},
    pages = {55--130},
    volume = {47},
    publisher = {Copyright {\textcopyright} 2013, Elsevier Inc. All rights reserved.},
    url = {http://dx.doi.org/10.1016/B978-0-12-407236-7.00002-4},
    isbn = {9780124072367},
    doi = {10.1016/B978-0-12-407236-7.00002-4},
    issn = {00652601},
    keywords = {Cultural learning, Intuition, Method-theory coevolution, Morality, Nativism, Pluralism}
}

@article{Hoover2020,
    title = {{Moral Foundations Twitter Corpus: A Collection of 35k Tweets Annotated for Moral Sentiment}},
    year = {2020},
    journal = {Social Psychological and Personality Science},
    author = {Hoover, Joe and Portillo-Wightman, Gwenyth and Yeh, Leigh and Havaldar, Shreya and Davani, Aida Mostafazadeh and Lin, Ying and Kennedy, Brendan and Atari, Mohammad and Kamel, Zahra and Mendlen, Madelyn and Moreno, Gabriela and Park, Christina and Chang, Tingyee E. and Chin, Jenna and Leong, Christian and Leung, Jun Yen and Mirinjian, Arineh and Dehghani, Morteza},
    number = {8},
    pages = {1057--1071},
    volume = {11},
    doi = {10.1177/1948550619876629},
    issn = {19485514},
    keywords = {Moral Foundations Theory, NLP, morality, sentiment, text analysis}
}

@article{Mokhberian2020,
    title = {{Moral Framing and Ideological Bias of News}},
    year = {2020},
    journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    author = {Mokhberian, Negar and Abeliuk, Andrés and Cummings, Patrick and Lerman, Kristina},
    pages = {206--219},
    volume = {12467 LNCS},
    isbn = {9783030609740},
    doi = {10.1007/978-3-030-60975-7{\_}16},
    issn = {16113349},
    arxivId = {2009.12979},
    keywords = {Bias, Framing, Moral foundation theory, News}
}

@article{DosSantos2019,
    title = {{Moral stance recognition and polarity classification from twitter and elicited text}},
    year = {2019},
    journal = {International Conference Recent Advances in Natural Language Processing, RANLP},
    author = {Dos Santos, Wesley Ramos and Paraboni, Ivandré},
    pages = {1069--1075},
    volume = {2019-Septe},
    isbn = {9789544520557},
    doi = {10.26615/978-954-452-056-4{\_}123},
    issn = {13138502}
}

@article{Yao2020,
    title = {{MORSE: MultimOdal sentiment analysis for Real-life SEttings}},
    year = {2020},
    journal = {ICMI 2020 - Proceedings of the 2020 International Conference on Multimodal Interaction},
    author = {Yao, Yiqun and P{\'{e}}rez-Rosas, Verónica and Abouelenien, Mohamed and Burzo, Mihai},
    pages = {387--396},
    isbn = {9781450375818},
    doi = {10.1145/3382507.3418821},
    keywords = {dataset, imbalanced learning, multimodal sentiment analysis, transfer learning, transformer}
}

@article{Hua2024,
    title = {{mOthello: When Do Cross-Lingual Representation Alignment and Cross-Lingual Transfer Emerge in Multilingual Models?}},
    year = {2024},
    author = {Hua, Tianze and Yun, Tian and Pavlick, Ellie},
    url = {http://arxiv.org/abs/2404.12444},
    arxivId = {2404.12444}
}

@article{Zhao2020,
    title = {{Moverscore: Text generation evaluating with contextualized embeddings and earth mover distance}},
    year = {2019},
    journal = {EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference},
    author = {Zhao, Wei and Peyrard, Maxime and Liu, Fei and Gao, Yang and Meyer, Christian M. and Eger, Steffen},
    pages = {563--578},
    isbn = {9781950737901},
    doi = {10.18653/v1/d19-1053},
    arxivId = {1909.02622}
}

@article{Rashkin2022,
    title = {{MP-Dialog}},
    year = {2022},
    journal = {MP Jahrgang 4, Heft 3},
    author = {Rashkin, Hannah and Smith, Eric Michael and Li, Margaret and Boureau, Y-lan},
    pages = {66--66},
    doi = {10.1515/9783112610909-002}
}

@article{Song2020,
    title = {{MPNet: Masked and permuted pre-training for language understanding}},
    year = {2020},
    journal = {arXiv},
    author = {Song, Kaitao and Tan, Xu and Qin, Tao and Lu, Jianfeng and Liu, Tie Yan},
    number = {NeurIPS},
    pages = {1--11},
    arxivId = {2004.09297}
}

@inproceedings{Zhu2021a,
    title = {{MSNet: A Multilevel Instance Segmentation Network for Natural Disaster Damage Assessment in Aerial Videos}},
    year = {2021},
    booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
    author = {Zhu, Xiaoyu and Liang, Junwei and Hauptmann, Alexander and Box, House},
    pages = {2023--2032},
    url = {https://github.com/zgzxy001/MSNET}
}

@inproceedings{Bai2024,
    title = {{MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues}},
    year = {2024},
    booktitle = {ACL},
    author = {Bai, Ge and Liu, Jie and Bu, Xingyuan and He, Yancheng and Liu, Jiaheng and Zhou, Zhanhui and Lin, Zhuoran and Su, Wenbo and Ge, Tiezheng and Zheng, Bo and Ouyang, Wanli},
    url = {http://arxiv.org/abs/2402.14762},
    isbn = {9798891760943},
    issn = {0736587X},
    arxivId = {2402.14762}
}

@article{Xue2020,
    title = {{mT5: A massively multilingual pre-trained text-to-text transformer}},
    year = {2020},
    author = {Xue, Linting and Constant, Noah and Roberts, Adam and Kale, Mihir and Al-Rfou, Rami and Siddhant, Aditya and Barua, Aditya and Raffel, Colin},
    pages = {1--13},
    url = {http://arxiv.org/abs/2010.11934},
    arxivId = {2010.11934}
}

@article{Chi2021,
    title = {{MT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs}},
    year = {2021},
    author = {Chi, Zewen and Dong, Li and Ma, Shuming and Mao, Shaohan Huang Xian-Ling and Huang, Heyan and Wei, Furu},
    url = {http://arxiv.org/abs/2104.08692},
    doi = {10.18653/v1/2021.emnlp-main.125},
    arxivId = {2104.08692}
}

@inproceedings{Yang2020mtgat,
    title = {{MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences}},
    year = {2021},
    booktitle = {NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference},
    author = {Yang, Jianing and Wang, Yongxin and Yi, Ruitao and Zhu, Yuying and Rehman, Azaan and Zadeh, Amir and Poria, Soujanya and Morency, Louis Philippe},
    pages = {1009--1021},
    isbn = {9781954085466},
    doi = {10.18653/v1/2021.naacl-main.79},
    arxivId = {2010.11985}
}

@article{Ranasinghe2021a,
    title = {{MUDES: Multilingual Detection of Offensive Spans}},
    year = {2021},
    journal = {Naacl-2015},
    author = {Ranasinghe, Tharindu and Zampieri, Marcos},
    url = {http://arxiv.org/abs/2102.09665},
    arxivId = {2102.09665}
}

@article{Zhou2022,
    title = {{Mugs: A Multi-Granular Self-Supervised Learning Framework}},
    year = {2022},
    author = {Zhou, Pan and Zhou, Yichen and Si, Chenyang and Yu, Weihao and Ng, Teck Khim and Yan, Shuicheng},
    url = {http://arxiv.org/abs/2203.14415},
    arxivId = {2203.14415},
    keywords = {multi-granular representation, self-supervised learning}
}

@article{Kim2019,
    title = {{MULE: Multimodal Universal Language Embedding}},
    year = {2019},
    author = {Kim, Donghyun and Saito, Kuniaki and Saenko, Kate and Sclaroff, Stan and Plummer, Bryan A.},
    url = {http://arxiv.org/abs/1909.03493},
    doi = {10.1609/aaai.v34i07.6785},
    issn = {2374-3468},
    arxivId = {1909.03493}
}

@article{Rudner2019,
    title = {{Multi 3 Net : Segmenting Flooded Buildings via Fusion of Multiresolution , Multisensor , and Multitemporal Satellite Imagery Background : Earth Observation}},
    year = {2019},
    journal = {The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)},
    author = {Rudner, Tim G J and Ru{\ss}wurm, Marc and Fil, Jakub and Pelich, Ramona and Bischke, Benjamin and Kopa{\v{c}}kov{\'{a}}, Veronika and Bili, Piotr},
    number = {2},
    pages = {702--709}
}

@article{Gan2020,
    title = {{Multi-entity sentiment analysis using self-attention based hierarchical dilated convolutional neural network}},
    year = {2020},
    journal = {Future Generation Computer Systems},
    author = {Gan, Chenquan and Wang, Lu and Zhang, Zufan},
    pages = {116--125},
    volume = {112},
    publisher = {Elsevier B.V.},
    url = {https://doi.org/10.1016/j.future.2020.05.022},
    doi = {10.1016/j.future.2020.05.022},
    issn = {0167739X},
    keywords = {Hierarchical dilated convolutional neural network, Multi-entity sentiment analysis, Self-attention, Sequence labeling}
}

@article{Tu2020,
    title = {{Multi-hop reading comprehension across multiple documents by reasoning over heterogeneous graphs}},
    year = {2020},
    journal = {ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Tu, Ming and Wang, Guangtao and Huang, Jing and Tang, Yun and He, Xiaodong and Zhou, Bowen},
    pages = {2704--2713},
    isbn = {9781950737482},
    doi = {10.18653/v1/p19-1260},
    arxivId = {1905.07374}
}

@article{Xu2019a,
    title = {{Multi-Interactive Memory Network for Aspect Based Multimodal Sentiment Analysis}},
    year = {2019},
    journal = {The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)},
    author = {Xu, Nan and Mao, Wenji and Chen, Guandan},
    number = {July},
    pages = {371--378},
    volume = {33},
    doi = {10.1609/aaai.v33i01.3301371}
}

@article{Ravenscroft2016,
    title = {{Multi-label annotation in scientific articles - The multi-label cancer risk assessment corpus}},
    year = {2016},
    journal = {Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016},
    author = {Ravenscroft, James and Oellrich, Anika and Saha, Shyamasree and Liakata, Maria},
    pages = {4115--4123},
    isbn = {9782951740891},
    keywords = {Cancer risk assessment, Core Scientific concepts, Functional discourse, Multi-label annotations, Scientific discourse}
}

@article{Ameer2022,
    title = {{Multi-Label Emotion Classification on Code-Mixed Text: Data and Methods}},
    year = {2022},
    journal = {IEEE Access},
    author = {Ameer, Iqra and Sidorov, Grigori and Gomez-Adorno, Helena and Nawab, Rao Muhammad Adeel},
    pages = {8779--8789},
    volume = {10},
    doi = {10.1109/ACCESS.2022.3143819},
    issn = {21693536},
    keywords = {Annotations, Benchmark testing, Electronic mail, Guidelines, Social networking (online), Standards, Task analysis}
}

@article{Janghorbani2023,
    title = {{Multi-Modal Bias: Introducing a Framework for Stereotypical Bias Assessment beyond Gender and Race in Vision-Language Models}},
    year = {2023},
    journal = {EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Janghorbani, Sepehr and de Melo, Gerard},
    pages = {1717--1727},
    isbn = {9781959429449},
    arxivId = {2303.12734}
}

@article{Sainte2021a,
    title = {{Multi-modal temporal attention models for crop mapping from satellite time series}},
    year = {2022},
    journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
    author = {Sainte Fare Garnot, Vivien and Landrieu, Loic and Chehata, Nesrine},
    pages = {294--305},
    volume = {187},
    doi = {10.1016/j.isprsjprs.2022.03.012},
    issn = {09242716},
    arxivId = {2112.07558},
    keywords = {Data fusion, Deep learning, Multi-temporal fusion, SAR, Sentinel satellite, Temporal attention}
}

@article{Sainte2021ab,
    title = {{Multi-modal temporal attention models for crop mapping from satellite time series}},
    year = {2022},
    journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
    author = {Sainte Fare Garnot, Vivien and Landrieu, Loic and Chehata, Nesrine},
    pages = {294--305},
    volume = {187},
    doi = {10.1016/j.isprsjprs.2022.03.012},
    issn = {09242716},
    arxivId = {2112.07558},
    keywords = {Data fusion, Deep learning, Multi-temporal fusion, SAR, Sentinel satellite, Temporal attention}
}

@article{Muangkammuen2020,
    title = {{Multi-task Learning for Automated Essay Scoring with Sentiment Analysis}},
    year = {2020},
    journal = {Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop},
    author = {Muangkammuen, Panitan and Fukumoto, Fumiyo},
    number = {2015},
    pages = {116--123},
    url = {https://www.aclweb.org/anthology/2020.aacl-srw.17}
}

@article{Augenstein2018b,
    title = {{Multi-Task learning of pairwise sequence classification tasks over disparate label spaces}},
    year = {2018},
    journal = {NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference},
    author = {Augenstein, Isabelle and Ruder, Sebastian and S{\o}gaard, Anders},
    pages = {1896--1906},
    volume = {1},
    isbn = {9781948087278},
    doi = {10.18653/v1/n18-1172},
    arxivId = {1802.09913}
}

@article{Russwurm2018,
    title = {{Multi-temporal land cover classification with sequential recurrent encoders}},
    year = {2018},
    journal = {ISPRS International Journal of Geo-Information},
    author = {Ru{\ss}wurm, Marc and K{\"{o}}rner, Marco},
    number = {4},
    volume = {7},
    doi = {10.3390/ijgi7040129},
    issn = {22209964},
    arxivId = {1802.02080},
    keywords = {Crop classification, Deep learning, Land cover classification, Land use, Multi-temporal classification, Recurrent networks, Sentinel 2, Sequence encoder, Sequence-to-sequence}
}

@article{Chalkidis2021b,
    title = {{MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer}},
    year = {2021},
    journal = {EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings},
    author = {Chalkidis, Ilias and Fergadiotis, Manos and Androutsopoulos, Ion},
    pages = {6974--6996},
    isbn = {9781955917094},
    doi = {10.18653/v1/2021.emnlp-main.559},
    arxivId = {2109.00904}
}

@article{Augenstein2019,
    title = {{MultiFC: A real-world multi-domain dataset for evidence-based fact checking of claims}},
    year = {2019},
    journal = {arXiv},
    author = {Augenstein, Isabelle and Lioma, Christina and Wang, Dongsheng and Lima, Lucas Chaves and Hansen, Casper and Hansen, Christian and Simonsen, Jakob Grue},
    pages = {4685--4697}
}

@article{Eisenschlos2019,
    title = {{MultiFiT : Efficient Multi-lingual Language Model Fine-tuning}},
    year = {2019},
    author = {Eisenschlos, Julian and Ruder, Sebastian and Czapla, Piotr and Howard, Jeremy},
    pages = {5702--5707}
}

@article{Eisenschlos2020,
    title = {{MultiFit: Efficient multi-lingual language model fine-tuning}},
    year = {2020},
    journal = {EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference},
    author = {Eisenschlos, Julian and Ruder, Sebastian and Czapla, Piotr and Kardas, Marcin and Gugger, Sylvain and Howard, Jeremy},
    pages = {5702--5707},
    isbn = {9781950737901},
    doi = {10.18653/v1/d19-1572},
    arxivId = {1909.04761}
}

@article{Cao2020,
    title = {{Multilingual Alignment of Contextual Word Representations}},
    year = {2020},
    author = {Cao, Steven and Kitaev, Nikita and Klein, Dan},
    pages = {1--15},
    url = {http://arxiv.org/abs/2002.03518},
    arxivId = {2002.03518}
}

@inproceedings{Toledo-Ronen2020a,
    title = {{Multilingual Argument Mining : Datasets and Analysis}},
    year = {2020},
    booktitle = {EMNLP},
    author = {Toledo-Ronen, Orith and Orbach, Matan and Bilu, Yonatan and Spector, Artem and Slonim, Noam},
    pages = {1--10},
    arxivId = {arXiv:2010.06432v1}
}

@article{Steinberger2011,
    title = {{Multilingual entity-centered sentiment analysis evaluated by parallel corpora}},
    year = {2011},
    journal = {International Conference Recent Advances in Natural Language Processing, RANLP},
    author = {Steinberger, Josef and Lenkova, Polina and Kabadjov, Mijail and Steinberger, Ralf and Van Der Goot, Erik},
    number = {September},
    pages = {770--775},
    issn = {13138502}
}

@article{Barriere2023,
    title = {{Multilingual Multi-target Stance Recognition in Online Public Consultations}},
    year = {2023},
    journal = {MDPI Mathematics -- Special issue on Human Language Technollogy},
    author = {Barriere, Valentin and Balahur, Alexandra},
    number = {9},
    pages = {2161},
    volume = {11},
    url = {https://www.mdpi.com/2227-7390/11/9/2161}
}

@article{Ranasinghe2020,
    title = {{Multilingual offensive language identification with cross-lingual embeddings}},
    year = {2020},
    journal = {EMNLP},
    author = {Ranasinghe, Tharindu and Zampieri, Marcos},
    pages = {5838--5844},
    doi = {10.18653/v1/2020.emnlp-main.470},
    issn = {23318422},
    arxivId = {2010.05324}
}

@inproceedings{Balahur2012,
    title = {{Multilingual Sentiment Analysis using Machine Translation?}},
    year = {2012},
    booktitle = {Multilingual Sentiment Analysis using Machine Translation},
    author = {Balahur, Alexandra and Turchi, Marco},
    number = {July},
    pages = {52–60},
    issn = {16130073}
}

@inproceedings{Akbik2018a,
    title = {{Multilingual Sequence Labeling With One Model}},
    year = {2018},
    booktitle = {Northern Lights Deep Learning Workshop},
    author = {Akbik, Alan and Bergmann, Tanja and Vollgraf, Roland},
    pages = {1--3}
}

@article{Lai2020,
    title = {{Multilingual stance detection in social media political debates}},
    year = {2020},
    journal = {Computer Speech and Language},
    author = {Lai, Mirko and Cignarella, Alessandra Teresa and Hern{\'{a}}ndez Far{\'{i}}as, Delia Irazú and Bosco, Cristina and Patti, Viviana and Rosso, Paolo},
    volume = {63},
    doi = {10.1016/j.csl.2020.101075},
    issn = {10958363},
    keywords = {Contextual features, Multilingual, Political debates, Stance detection, Twitter}
}

@article{Zotova2020,
    title = {{Multilingual stance detection: The catalonia independence corpus}},
    year = {2020},
    journal = {LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings},
    author = {Zotova, Elena and Agerri, Rodrigo and Nu{\~{n}}ez, Manuel and Rigau, German},
    number = {May},
    pages = {1368--1375},
    isbn = {9791095546344},
    arxivId = {2004.00050},
    keywords = {Less-Resourced Languages, Stance Detection, Text Categorization}
}

@article{Banea2008,
    title = {{Multilingual subjectivity analysis using machine translation}},
    year = {2008},
    journal = {EMNLP 2008 - 2008 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference: A Meeting of SIGDAT, a Special Interest Group of the ACL},
    author = {Banea, Carmen and Mihalcea, Rada and Wiebe, Janyce and Hassan, Samer},
    number = {October},
    pages = {127--135},
    doi = {10.3115/1613715.1613734}
}

@article{Banea2010,
    title = {{Multilingual subjectivity: Are more languages better?}},
    year = {2010},
    journal = {Coling 2010 - 23rd International Conference on Computational Linguistics, Proceedings of the Conference},
    author = {Banea, Carmen and Mihalcea, Rada and Wiebe, Janyce},
    number = {August},
    pages = {28--36},
    volume = {2}
}

@article{Huang2020a,
    title = {{Multilingual twitter corpus and baselines for evaluating demographic bias in hate speech recognition}},
    year = {2020},
    journal = {LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings},
    author = {Huang, Xiaolei and Xing, Linzi and Dernoncourt, Franck and Paul, Michael J.},
    pages = {1440--1448},
    isbn = {9791095546344},
    arxivId = {2002.10361},
    keywords = {Demographic bias, Document classification, Fairness, Hate speech, Multilingual}
}

@article{Mozetic2016,
    title = {{Multilingual twitter sentiment classification: The role of human annotators}},
    year = {2016},
    journal = {PLoS ONE},
    author = {Mozeti{\v{c}}, Igor and Gr{\v{c}}ar, Miha and Smailovi{\'{c}}, Jasmina},
    number = {5},
    pages = {1--26},
    volume = {11},
    doi = {10.1371/journal.pone.0155036},
    issn = {19326203},
    pmid = {27149621},
    arxivId = {1602.07563}
}

@article{Yang2020,
    title = {{Multilingual Universal Sentence Encoder for Semantic Retrieval}},
    year = {2020},
    author = {Yang, Yinfei and Cer, Daniel and Ahmad, Amin and Guo, Mandy and Law, Jax and Constant, Noah and Abrego, Gustavo Hernandez and Yuan, Steve and Tar, Chris and Sung, Yun-hsuan and Strope, Brian and Kurzweil, Ray},
    pages = {87--94},
    doi = {10.18653/v1/2020.acl-demos.12},
    arxivId = {1907.04307}
}

@article{Ohba2022,
    title = {{Multimodal Analysis for Communication Skill and Self-Efficacy Level Estimation in Job Interview Scenario}},
    year = {2022},
    journal = {ACM International Conference Proceeding Series},
    author = {Ohba, Tomoya and Mawalim, Candy Olivia and Katada, Shun and Kuroki, Haruki and Okada, Shogo},
    pages = {110--120},
    isbn = {9781450398213},
    doi = {10.1145/3568444.3568461},
    keywords = {communication skill, job interview, multimodal modeling, self-efficacy, virtual agent}
}

@article{Kantharaju2020,
    title = {{Multimodal analysis of cohesion in multi-party interactions}},
    year = {2020},
    journal = {LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings},
    author = {Kantharaju, Reshmashree B. and Langlet, Caroline and Barange, Mukesh and Clavel, Chloé and Pelachaud, Catherine},
    number = {May},
    pages = {498--507},
    isbn = {9791095546344},
    keywords = {Cohesion, Dialogue acts, Interruptions, Non-verbal behaviours}
}

@inproceedings{Yang2022a,
    title = {{Multimodal Analysis of Interruptions}},
    year = {2022},
    booktitle = {HCII},
    author = {Yang, Liu and Achard, Catherine and Pelachaud, Catherine and Yang, Liu and Achard, Catherine and Pelachaud, Catherine and Analysis, Multimodal and Yang, Liu and Achard, Catherine and Pelachaud, Catherine}
}

@article{Mancini2022,
    title = {{Multimodal Argument Mining: A Case Study in Political Debates}},
    year = {2022},
    journal = {Proceedings of the 9th Workshop on Argument Mining},
    author = {Mancini, Eleonora and Ruggeri, Federico and Galassi, Andrea and Torroni, Paolo},
    pages = {158--170},
    url = {https://aclanthology.org/2022.argmining-1.15/}
}

@article{Pelachaud2021,
    title = {{Multimodal Behavior Modeling for Socially Interactive Agents}},
    year = {2021},
    journal = {The Handbook on Socially Interactive Agents},
    author = {Pelachaud, Catherine and Busso, Carlos and Heylen, Dirk},
    pages = {259--310},
    volume = {1},
    doi = {10.1145/3477322.3477331}
}

@inproceedings{Abavisani2020,
    title = {{Multimodal Categorization of Crisis Events in Social Media}},
    year = {2020},
    booktitle = {CVPR20},
    author = {Abavisani, Mahdi and Hu, Shengli and Tetreault, Joel and Jaimes, Alejandro},
    arxivId = {arXiv:2004.04917v1}
}

@article{Duong2015,
    title = {{Multimodal Classification for Analysing Social Media}},
    year = {2015},
    author = {Duong, Chi Thang and Lebret, Remi and Aberer, Karl},
    arxivId = {arXiv:1708.02099v1}
}

@article{Frohlich2019,
    title = {{Multimodal communication and language origins: integrating gestures and vocalizations}},
    year = {2019},
    journal = {Biological Reviews},
    author = {Fr{\"{o}}hlich, Marlen and Sievers, Christine and Townsend, Simon W. and Gruber, Thibaud and van Schaik, Carel P.},
    number = {5},
    pages = {1809--1829},
    volume = {94},
    doi = {10.1111/brv.12535},
    issn = {1469185X},
    pmid = {31250542},
    keywords = {cognition, comparative approach, evolution of language, gestural origins, learning, multimodality, ontogeny, primates, vocal origins}
}

@article{Fukui2016,
    title = {{Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding}},
    year = {2016},
    author = {Fukui, Akira and Park, Dong Huk and Yang, Daylen and Rohrbach, Anna and Darrell, Trevor and Rohrbach, Marcus},
    url = {http://arxiv.org/abs/1606.01847},
    arxivId = {1606.01847}
}

@inproceedings{Barriere2022cdceo,
    title = {{Multimodal Crop Type Classification Fusing Multi-Spectral Satellite Time Series with Farmers Crop Rotations and Local Crop Distribution}},
    year = {2022},
    booktitle = {Proceedings of 2nd Workshop on Complex Data Challenges in Earth Observation, IJCAI},
    author = {Barriere, Valentin and Claverie, Martin},
    pages = {50--57},
    volume = {3207},
    issn = {16130073},
    arxivId = {2208.10838},
    keywords = {Farmer's Rotations, Hierarchical Model, Multimodal System, Remote Sensing}
}

@article{Giannakos2019,
    title = {{Multimodal data as a means to understand the learning experience}},
    year = {2019},
    journal = {International Journal of Information Management},
    author = {Giannakos, Michail N. and Sharma, Kshitij and Pappas, Ilias O. and Kostakos, Vassilis and Velloso, Eduardo},
    number = {March},
    pages = {108--119},
    volume = {48},
    publisher = {Elsevier},
    url = {https://doi.org/10.1016/j.ijinfomgt.2019.02.003},
    doi = {10.1016/j.ijinfomgt.2019.02.003},
    issn = {02684012},
    keywords = {Human learning, Machine learning, Multimodal data, Multimodal learning analytics, Skill acquisition, User-generated data}
}

@article{Sen2020,
    title = {{Multimodal Deception Detection using Real-Life Trial Data}},
    year = {2020},
    journal = {IEEE Transactions on Affective Computing},
    author = {Sen, Umut Mehmet and Perez-Rosas, Veronica and Yanikoglu, Berrin and Abouelenien, Mohamed and Burzo, Mihai and Mihalcea, Rada},
    pages = {1--14},
    doi = {10.1109/TAFFC.2020.3015684},
    issn = {19493045},
    keywords = {Acoustics, Electronic mail, Eyebrows, Feature extraction, Linguistics, Videos, Visualization, acoustic, classification, deception detection, linguistic, multimodal, real-life trial, visual}
}

@article{Illendula2019,
    title = {{Multimodal emotion classification}},
    year = {2019},
    journal = {The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019},
    author = {Illendula, Anurag and Sheth, Amit},
    pages = {439--449},
    volume = {2},
    isbn = {9781450366755},
    doi = {10.1145/3308560.3316549},
    arxivId = {1903.12520},
    keywords = {Emoji Understanding, Emotion Classification, Multimodal Analysis}
}

@inproceedings{Pelachaud2005,
    title = {{Multimodal Expressive Embodied Conversational Agents}},
    year = {2005},
    booktitle = {Proceedings of the 13th annual ACM international conference on Multimedia},
    author = {Pelachaud, Catherine},
    pages = {683--689},
    isbn = {1595930442},
    doi = {10.1145/1101149.1101301},
    keywords = {expressive gesture, interactive embodied conversational agent, multimodal in-, terface}
}

@inproceedings{Pelachaud2005a,
    title = {{Multimodal expressive embodied conversational agents: Multimodal expressive ECAs}},
    year = {2005},
    booktitle = {Proceedings of the 13th ACM International Conference on Multimedia, MM 2005},
    author = {Pelachaud, Catherine},
    pages = {683--689},
    isbn = {1595930442},
    doi = {10.1145/1101149.1101301},
    keywords = {Expressive gesture, Interactive embodied conversational agent, Multimodal interface}
}

@article{Mancini2024,
    title = {{Multimodal Fallacy Classification in Political Debates}},
    year = {2024},
    journal = {EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Mancini, Eleonora and Ruggeri, Federico and Torroni, Paolo},
    pages = {170--178},
    volume = {2},
    isbn = {9798891760899}
}

@article{Tsimpoukelli2021,
    title = {{Multimodal Few-Shot Learning with Frozen Language Models}},
    year = {2021},
    author = {Tsimpoukelli, Maria and Menick, Jacob and Cabi, Serkan and Eslami, S. M. Ali and Vinyals, Oriol and Hill, Felix},
    url = {http://arxiv.org/abs/2106.13884},
    arxivId = {2106.13884}
}

@article{Liang2023b,
    title = {{Multimodal Fusion Interactions: A Study of Human and Automatic Quantification}},
    year = {2023},
    journal = {ACM International Conference Proceeding Series},
    author = {Liang, Paul Pu and Cheng, Yun and Salakhutdinov, Ruslan and Morency, Louis-Philippe},
    pages = {425--435},
    isbn = {9798400700552},
    doi = {10.1145/3577190.3614151},
    arxivId = {arXiv:2306.04125v2},
    keywords = {Affective computing, Multimodal fusion, Multimodal interactions}
}

@article{hemamou2021multimodal,
    title = {{Multimodal Hierarchical Attention Neural Network: Looking for Candidates Behaviour which Impact Recruiter's Decision}},
    year = {2021},
    journal = {IEEE Transactions on Affective Computing},
    author = {Hemamou, Leo and Guillon, Arthur and Martin, Jean-Claude and Clavel, Chloe},
    publisher = {IEEE}
}

@inproceedings{Liang2018,
    title = {{Multimodal Language Analysis with Recurrent Multistage Fusion}},
    year = {2018},
    booktitle = {EMNLP},
    author = {Liang, Paul Pu and Liu, Ziyin and Zadeh, Amir and Morency, Louis-Philippe},
    url = {http://arxiv.org/abs/1808.03920},
    arxivId = {1808.03920}
}

@article{Tavabi2019,
    title = {{Multimodal learning for identifying opportunities for empathetic responses}},
    year = {2019},
    journal = {ICMI 2019 - Proceedings of the 2019 International Conference on Multimodal Interaction},
    author = {Tavabi, Leili and Stefanov, Kalin and Gilani, Setareh Nasihati and Traum, David and Soleymani, Mohammad},
    pages = {95--104},
    isbn = {9781450368605},
    doi = {10.1145/3340555.3353750},
    keywords = {Empathy, Human behavior, Machine learning, Multimodal sentiment, Virtual human}
}

@article{The2013,
    title = {{MULTIMODAL LEARNING WITHOUT LABELED MULTI- MODAL DATA: GUARANTEES AND APPLICATIONS}},
    year = {2024},
    author = {Liang, Paul Pu and Ling, Chun Kai and Cheng, Yun and Obolenskiy, Alex and Liu, Yudong and Pandey, Rohan and Wilf, Alex and Morency, Louis-Philippe and Salakhutdinov, Ruslan},
    pages = {555--628},
    volume = {361},
    arxivId = {arXiv:2306.04539v2}
}

@inproceedings{Liang2023c,
    title = {{Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications}},
    year = {2024},
    booktitle = {International Conference on Learning Representations},
    author = {Liang, Paul Pu and Ling, Chun Kai and Cheng, Yun and Obolenskiy, Alex and Liu, Yudong and Pandey, Rohan and Wilf, Alex and Morency, Louis-Philippe and Salakhutdinov, Ruslan},
    url = {http://arxiv.org/abs/2306.04539},
    arxivId = {2306.04539}
}

@article{Baltrusaitis,
    title = {{Multimodal Machine Learning: A Survey and Taxonomy}},
    year = {2017},
    author = {Baltru{\v{s}}aitis, Tadas and Ahuja, Chaitanya and Morency, Louis-Philippe},
    pages = {1--20},
    arxivId = {1705.09406},
    keywords = {Index Terms—Multimodal, introductory, machine learning, survey}
}

@article{Petukhova2017a,
    title = {{Multimodal markers of persuasive speech: Designing a Virtual Debate Coach}},
    year = {2017},
    journal = {Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH},
    author = {Petukhova, Volha and Raju, Manoj and Bunt, Harry},
    number = {1},
    pages = {142--146},
    volume = {2017-Augus},
    doi = {10.21437/Interspeech.2017-98},
    issn = {19909772},
    keywords = {Multimodal paralinguistics, Multimodality in argumentative discourse, Perception of multimodal paralinguistic phenomena}
}

@article{Zhou2013a,
    title = {{Multimodal Prediction of Psychological Disorders: Learning Verbal and Nonverbal Commonalities in Adjacency Pairs}},
    year = {2013},
    journal = {Proceedings of the 17th Workshop on the Semantics and Pragmatics of Dialogue},
    author = {Zhou, Yu and Scherer, Stefen and Devault, David and Gratch, Jonathan and Stratou, Giota and Morency, Louis-philippe and Cassell, Justine},
    pages = {160--169}
}

@article{Sahay2018,
    title = {{Multimodal Relational Tensor Network for Sentiment and Emotion Classification}},
    year = {2018},
    author = {Sahay, Saurav and Kumar, Shachi H and Xia, Rui and Huang, Jonathan and Nachman, Lama},
    url = {http://arxiv.org/abs/1806.02923},
    arxivId = {1806.02923}
}

@article{Liao2021,
    title = {{Multimodal Representation Learning via Maximization of Local Mutual Information}},
    year = {2021},
    journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    author = {Liao, Ruizhi and Moyer, Daniel and Cha, Miriam and Quigley, Keegan and Berkowitz, Seth and Horng, Steven and Golland, Polina and Wells, William M.},
    number = {Mi},
    pages = {273--283},
    volume = {12902 LNCS},
    isbn = {9783030871956},
    doi = {10.1007/978-3-030-87196-3{\_}26},
    issn = {16113349},
    arxivId = {2103.04537},
    keywords = {Local feature representations, Multimodal representation learning, Mutual information maximization}
}

@article{Tsai2020routing,
    title = {{Multimodal Routing: Improving Local and Global Interpretability of Multimodal Language Analysis}},
    year = {2020},
    author = {Tsai, Yao-hung Hubert and Q. Ma, Martin and Yang, Muqiao and Salakhutdinov, Ruslan and Morency, Louis-philippe},
    arxivId = {arXiv:2004.14198v2}
}

@inproceedings{Sirbu2022,
    title = {{Multimodal Semi-supervised Learning for Disaster Tweet Classification}},
    year = {2022},
    booktitle = {COLING},
    author = {Sirbu, Iustin and Sosea, Tiberiu and Caragea, Cornelia and Caragea, Doina and Rebedea, Traian},
    pages = {2711--2723},
    url = {https://aclanthology.org/2022.coling-1.239}
}

@article{Hu2018a,
    title = {{Multimodal sentiment analysis to explore the structure of emotions}},
    year = {2018},
    journal = {Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
    author = {Hu, Anthony and Flaxman, Seth},
    pages = {350--358},
    isbn = {9781450355520},
    doi = {10.1145/3219819.3219853},
    arxivId = {1805.10205},
    keywords = {Deep learning, Natural language processing, Sentiment analysis, Transfer learning, Visual analysis}
}

@inproceedings{Chen2017b,
    title = {{Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning}},
    year = {2017},
    booktitle = {ICMI 2017},
    author = {Chen, Minghai and Wang, Sen and Liang, Paul Pu and Baltru{\v{s}}aitis, Tadas and Zadeh, Amir and Morency, Louis-philippe},
    pages = {163--171},
    isbn = {9781450355438},
    keywords = {acm reference format, deep learning, human com-, multimodal fusion, multimodal sentiment analysis, munication, reinforcement learning}
}

@article{Raaijmakers2008,
    title = {{Multimodal subjectivity analysis of multiparty conversation}},
    year = {2008},
    journal = {EMNLP 2008 - 2008 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference: A Meeting of SIGDAT, a Special Interest Group of the ACL},
    author = {Raaijmakers, Stephan and Truong, Khiet and Wilson, Theresa},
    number = {October},
    pages = {466--474},
    doi = {10.3115/1613715.1613774}
}

@inproceedings{Tsai2019,
    title = {{Multimodal Transformer for Unaligned Multimodal Language Sequences}},
    year = {2019},
    booktitle = {ACL},
    author = {Tsai, Yao-Hung Hubert and Bai, Shaojie and Liang, Paul Pu and Kolter, J. Zico and Morency, Louis-Philippe and Salakhutdinov, Ruslan},
    url = {http://arxiv.org/abs/1906.00295},
    arxivId = {1906.00295}
}

@article{Bhamra2023,
    title = {{Multimodal Wildland Fire Smoke Detection}},
    year = {2023},
    journal = {Remote Sensing},
    author = {Bhamra, Jaspreet Kaur and Anantha Ramaprasad, Shreyas and Baldota, Siddhant and Luna, Shane and Zen, Eugene and Ramachandra, Ravi and Kim, Harrison and Schmidt, Chris and Arends, Chris and Block, Jessica and Perez, Ismael and Crawl, Daniel and Altintas, Ilkay and Cottrell, Garrison W. and Nguyen, Mai H.},
    number = {11},
    pages = {1--17},
    volume = {15},
    doi = {10.3390/rs15112790},
    issn = {20724292},
    arxivId = {2212.14143},
    keywords = {deep learning, image analysis, multimodal remote sensing, smoke detection, wildfire mitigation}
}

@article{Li2022mtl,
    title = {{Multitask Learning for Emotion and Personality Detection}},
    year = {2022},
    journal = {Neurocomputing},
    author = {Li, Yang and Kazameini, Amirmohammad and Mehta, Yash and Cambria, Erik},
    url = {http://arxiv.org/abs/2101.02346},
    arxivId = {2101.02346}
}

@article{Sanh2021,
    title = {{Multitask Prompted Training Enables Zero-Shot Task Generalization}},
    year = {2021},
    author = {Sanh, Victor and Webson, Albert and Raffel, Colin and Bach, Stephen H. and Sutawika, Lintang and Alyafeai, Zaid and Chaffin, Antoine and Stiegler, Arnaud and Scao, Teven Le and Raja, Arun and Dey, Manan and Bari, M Saiful and Xu, Canwen and Thakker, Urmish and Sharma, Shanya Sharma and Szczechla, Eliza and Kim, Taewoon and Chhablani, Gunjan and Nayak, Nihal and Datta, Debajyoti and Chang, Jonathan and Jiang, Mike Tian-Jian and Wang, Han and Manica, Matteo and Shen, Sheng and Yong, Zheng Xin and Pandey, Harshit and Bawden, Rachel and Wang, Thomas and Neeraj, Trishala and Rozen, Jos and Sharma, Abheesht and Santilli, Andrea and Fevry, Thibault and Fries, Jason Alan and Teehan, Ryan and Biderman, Stella and Gao, Leo and Bers, Tali and Wolf, Thomas and Rush, Alexander M.},
    url = {http://arxiv.org/abs/2110.08207},
    arxivId = {2110.08207}
}

@article{Liang2022,
    title = {{MultiViz: An Analysis Benchmark for Visualizing and Understanding Multimodal Models}},
    year = {2022},
    author = {Liang, Paul Pu and Lyu, Yiwei and Chhablani, Gunjan and Jain, Nihal and Deng, Zihao and Wang, Xingbo and Morency, Louis-Philippe and Salakhutdinov, Ruslan},
    number = {2},
    url = {http://arxiv.org/abs/2207.00056},
    arxivId = {2207.00056}
}

@article{Liang2023,
    title = {{MultiZoo {\&} MultiBench: A Standardized Toolkit for Multimodal Deep Learning}},
    year = {2023},
    author = {Liang, Paul Pu and Lyu, Yiwei and Fan, Xiang and Agarwal, Arav and Cheng, Yun and Morency, Louis-Philippe and Salakhutdinov, Ruslan},
    pages = {1--7},
    volume = {24},
    url = {http://arxiv.org/abs/2306.16413},
    arxivId = {2306.16413},
    keywords = {benchmarks, multimodal learning, open source software, representation learning}
}

@article{Hiware2020,
    title = {{NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities}},
    year = {2020},
    author = {Hiware, Kaustubh and Dutt, Ritam and Sinha, Sayan and Patro, Sohan and Ghosh, Kripabandhu and Ghosh, Saptarshi},
    url = {http://arxiv.org/abs/2005.13524},
    arxivId = {2005.13524}
}

@inproceedings{Venkit2023,
    title = {{Nationality Bias in Text Generation}},
    year = {2023},
    booktitle = {EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Venkit, Pranav Narayanan and Gautam, Sanjana and Panchanadikar, Ruchi and Huang, Ting Hao and Wilson, Shomir},
    pages = {116--122},
    isbn = {9781959429449},
    arxivId = {2302.02463}
}

@inproceedings{Hernandez2022,
    title = {{NATURAL LANGUAGE DESCRIPTIONS OF DEEP VISUAL FEATURES}},
    year = {2022},
    booktitle = {ICLR},
    author = {Hernandez, Evan and Schwettmann, Sarah and Bau, David and Bagashvili, Teona and Torralba, Antonio and Andreas, Jacob},
    pages = {1--21},
    arxivId = {arXiv:2201.11114v1}
}

@article{Joshi2024,
    title = {{Natural Language Processing for Dialects of a Language: A Survey}},
    year = {2024},
    author = {Joshi, Aditya and Dabre, Raj and Kanojia, Diptesh and Li, Zhuang and Zhan, Haolan and Haffari, Gholamreza and Dippold, Doris},
    number = {1},
    pages = {1--33},
    volume = {1},
    url = {http://arxiv.org/abs/2401.05632},
    arxivId = {2401.05632}
}

@book{Bird2009,
    title = {{Natural Language Processing with Python}},
    year = {2009},
    booktitle = {Text},
    author = {Bird, Steven and Klein, Ewan and Loper, Edward},
    pages = {479},
    volume = {43},
    url = {http://www.amazon.com/dp/0596516495},
    isbn = {9780596516499},
    doi = {10.1097/00004770-200204000-00018},
    issn = {00992399},
    pmid = {12043876}
}

@article{Yazdi2022,
    title = {{Nemo: An Open-Source Transformer-Supercharged Benchmark for Fine-Grained Wildfire Smoke Detection}},
    year = {2022},
    journal = {Remote Sensing},
    author = {Yazdi, Amirhessam and Qin, Heyang and Jordan, Connor B. and Yang, Lei and Yan, Feng},
    number = {16},
    pages = {1--44},
    volume = {14},
    doi = {10.3390/rs14163979},
    issn = {20724292},
    keywords = {attention mechanism, benchmark, computer vision, deep learning, direct set prediction, encoder–decoder Transformer, incipient stage, smoke, smoke density detection, wildfire}
}

@misc{YazdiGithub2022,
    title = {{Nemo: Nevada Smoke Detection Benchmark}},
    year = {2022},
    author = {Yazdi, Amir Hessam}
}

@inproceedings{Sennrich2016BPE,
    title = {{Neural Machine Translation of Rare Words with Subword Units}},
    year = {2016},
    booktitle = {ACL},
    author = {Sennrich, Rico and Haddow, Barry and Birch, Alexandra},
    pages = {1715--1725},
    url = {http://arxiv.org/abs/1508.07909},
    arxivId = {1508.07909}
}

@article{Ruder2019,
    title = {{Neural Transfer Learning for Natural Language Processing}},
    year = {2019},
    author = {Ruder, Sebastian}
}

@article{Howard2022,
    title = {{NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation}},
    year = {2022},
    author = {Howard, Phillip and Singer, Gadi and Lal, Vasudev and Choi, Yejin and Swayamdipta, Swabha},
    url = {http://arxiv.org/abs/2210.12365},
    arxivId = {2210.12365}
}

@article{Lepori2023a,
    title = {{NeuroSurgeon: A Toolkit for Subnetwork Analysis}},
    year = {2023},
    author = {Lepori, Michael A. and Pavlick, Ellie and Serre, Thomas},
    url = {http://arxiv.org/abs/2309.00244},
    arxivId = {2309.00244}
}

@article{Chen2021,
    title = {{Neutral bots probe political bias on social media}},
    year = {2021},
    journal = {Nature Communications},
    author = {Chen, Wen and Pacheco, Diogo and Yang, Kai Cheng and Menczer, Filippo},
    number = {1},
    pages = {1--10},
    volume = {12},
    publisher = {Springer US},
    doi = {10.1038/s41467-021-25738-6},
    issn = {20411723},
    pmid = {34552073},
    arxivId = {2005.08141}
}

@article{Piskorski2021,
    title = {{New Benchmark Corpus and Models for Fine-grained Event Classification: To BERT or not to BERT?}},
    year = {2021},
    author = {Piskorski, Jakub and Haneczok, Jacek and Jacquet, Guillaume},
    pages = {6663--6678},
    doi = {10.18653/v1/2020.coling-main.584}
}

@article{Raza2022,
    title = {{News recommender system: a review of recent progress, challenges, and opportunities}},
    year = {2022},
    journal = {Artificial Intelligence Review},
    author = {Raza, Shaina and Ding, Chen},
    number = {1},
    pages = {749--800},
    volume = {55},
    doi = {10.1007/s10462-021-10043-x},
    issn = {15737462},
    keywords = {Beyond-accuracy, Datasets, Deep learning, Evaluation measures, News, Recommender system, User behavior}
}

@article{Wu2021b,
    title = {{NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application}},
    year = {2021},
    author = {Wu, Chuhan and Wu, Fangzhao and Yu, Yang and Qi, Tao and Huang, Yongfeng and Liu, Qi},
    pages = {3285--3295},
    doi = {10.18653/v1/2021.findings-emnlp.280},
    arxivId = {2102.04887}
}

@inproceedings{Wu2021c,
    title = {{NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application}},
    year = {2021},
    booktitle = {EMNLP},
    author = {Wu, Chuhan and Wu, Fangzhao and Yu, Yang and Qi, Tao and Huang, Yongfeng and Liu, Qi},
    pages = {3285--3295},
    isbn = {1234567245},
    doi = {10.18653/v1/2021.findings-emnlp.280},
    arxivId = {2102.04887},
    keywords = {knowledge distillation, news applica-, pre-trained language model}
}

@article{Luo2021,
    title = {{NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media}},
    year = {2021},
    journal = {EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings},
    author = {Luo, Grace and Darrell, Trevor and Rohrbach, Anna},
    pages = {6801--6817},
    isbn = {9781955917094},
    doi = {10.18653/v1/2021.emnlp-main.545},
    arxivId = {2104.05893}
}

@article{Huot2022,
    title = {{Next Day Wildfire Spread: A Machine Learning Dataset to Predict Wildfire Spreading From Remote-Sensing Data}},
    year = {2022},
    journal = {IEEE Transactions on Geoscience and Remote Sensing},
    author = {Huot, Fantine and Hu, R. Lily and Goyal, Nita and Sankar, Tharun and Ihme, Matthias and Chen, Yi Fan},
    pages = {1--17},
    volume = {60},
    doi = {10.1109/TGRS.2022.3192974},
    issn = {15580644},
    arxivId = {2112.02447},
    keywords = {Earth Engine, machine learning, remote sensing, wildfire}
}

@inproceedings{Desai2021,
    title = {{Nice perfume. How long did you marinate in it? Multimodal Sarcasm Explanation}},
    year = {2022},
    booktitle = {AAAI},
    author = {Desai, Poorav and Chakraborty, Tanmoy and Akhtar, Md Shad},
    url = {http://arxiv.org/abs/2112.04873},
    arxivId = {2112.04873}
}

@inproceedings{An2023,
    title = {{Nichelle and Nancy : The Influence of Demographic Attributes and Tokenization Length on First Name Biases}},
    year = {2023},
    booktitle = {ACL},
    author = {An, Haozhe and Rudinger, Rachel},
    pages = {388--401},
    volume = {2}
}

@article{Dhole2021,
    title = {{NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation}},
    year = {2021},
    author = {Dhole, Kaustubh D. and Gangal, Varun and Gehrmann, Sebastian and Gupta, Aadesh and Li, Zhenhao and Mahamood, Saad and Mahendiran, Abinaya and Mille, Simon and Srivastava, Ashish and Tan, Samson and Wu, Tongshuang and Sohl-Dickstein, Jascha and Choi, Jinho D. and Hovy, Eduard and Dusek, Ondrej and Ruder, Sebastian and Anand, Sajant and Aneja, Nagender and Banjade, Rabin and Barthe, Lisa and Behnke, Hanna and Berlot-Attwell, Ian and Boyle, Connor and Brun, Caroline and Cabezudo, Marco Antonio Sobrevilla and Cahyawijaya, Samuel and Chapuis, Emile and Che, Wanxiang and Choudhary, Mukund and Clauss, Christian and Colombo, Pierre and Cornell, Filip and Dagan, Gautier and Das, Mayukh and Dixit, Tanay and Dopierre, Thomas and Dray, Paul-Alexis and Dubey, Suchitra and Ekeinhor, Tatiana and Di Giovanni, Marco and Gupta, Rishabh and Gupta, Rishabh and Hamla, Louanes and Han, Sang and Harel-Canada, Fabrice and Honore, Antoine and Jindal, Ishan and Joniak, Przemyslaw K. and Kleyko, Denis and Kovatchev, Venelin and Krishna, Kalpesh and Kumar, Ashutosh and Langer, Stefan and Lee, Seungjae Ryan and Levinson, Corey James and Liang, Hualou and Liang, Kaizhao and Liu, Zhexiong and Lukyanenko, Andrey and Marivate, Vukosi and de Melo, Gerard and Meoni, Simon and Meyer, Maxime and Mir, Afnan and Moosavi, Nafise Sadat and Muennighoff, Niklas and Mun, Timothy Sum Hon and Murray, Kenton and Namysl, Marcin and Obedkova, Maria and Oli, Priti and Pasricha, Nivranshu and Pfister, Jan and Plant, Richard and Prabhu, Vinay and Pais, Vasile and Qin, Libo and Raji, Shahab and Rajpoot, Pawan Kumar and Raunak, Vikas and Rinberg, Roy and Roberts, Nicolas and Rodriguez, Juan Diego and Roux, Claude and S., Vasconcellos P. H. and Sai, Ananya B. and Schmidt, Robin M. and Scialom, Thomas and Sefara, Tshephisho and Shamsi, Saqib N. and Shen, Xudong and Shi, Haoyue and Shi, Yiwen and Shvets, Anna and Siegel, Nick and Sileo, Damien and Simon, Jamie and Singh, Chandan and Sitelew, Roman and Soni, Priyank and Sorensen, Taylor and Soto, William and Srivastava, Aman and Srivatsa, KV Aditya and Sun, Tony and T, Mukund Varma and Tabassum, A and Tan, Fiona Anting and Teehan, Ryan and Tiwari, Mo and Tolkiehn, Marie and Wang, Athena and Wang, Zijian and Wang, Gloria and Wang, Zijie J. and Wei, Fuxuan and Wilie, Bryan and Winata, Genta Indra and Wu, Xinyi and Wydma{\'{n}}ski, Witold and Xie, Tianbao and Yaseen, Usama and Yee, M. and Zhang, Jing and Zhang, Yue},
    url = {http://arxiv.org/abs/2112.02721},
    arxivId = {2112.02721}
}

@inproceedings{Misra2016semeval,
    title = {{NLDS-UCSC at SemEval-2016 Task 6: A Semi-Supervised Approach to Detecting Stance in Tweets}},
    year = {2016},
    booktitle = {SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings},
    author = {Misra, Amita and Ecker, Brian and Handleman, Theodore and Hahn, Nicolas and Walker, Marilyn},
    pages = {420--427},
    arxivId = {arXiv:1709.01895v1}
}

@article{Santy2023,
    title = {{NLPositionality: Characterizing Design Biases of Datasets and Models}},
    year = {2023},
    author = {Santy, Sebastin and Liang, Jenny T. and Bras, Ronan Le and Reinecke, Katharina and Sap, Maarten},
    pages = {9080--9102},
    volume = {1},
    url = {http://arxiv.org/abs/2306.01943},
    arxivId = {2306.01943}
}

@article{Ahuja2020,
    title = {{No gestures left behind: learning relationships between spoken language and freeform gestures}},
    year = {2020},
    journal = {Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020},
    author = {Ahuja, Chaitanya and Lee, Dong Won and Ishii, Ryo and Morency, Louis Philippe},
    pages = {1884--1895},
    isbn = {9781952148903},
    doi = {10.18653/v1/2020.findings-emnlp.170}
}

@inproceedings{Jundi2023,
    title = {{Node Placement in Argument Maps: Modeling Unidirectional Relations in High {\&} Low-Resource Scenarios}},
    year = {2023},
    booktitle = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Jundi, Iman and Falk, Neele and Vecchi, Eva Maria and Lapesa, Gabriella},
    pages = {5854--5876},
    volume = {1},
    isbn = {9781959429722},
    doi = {10.18653/v1/2023.acl-long.322},
    issn = {0736587X}
}

@article{Min2021a,
    title = {{Noisy Channel Language Model Prompting for Few-Shot Text Classification}},
    year = {2021},
    author = {Min, Sewon and Lewis, Mike and Hajishirzi, Hannaneh and Zettlemoyer, Luke},
    url = {http://arxiv.org/abs/2108.04106},
    arxivId = {2108.04106}
}

@article{slawski2013non,
    title = {{Non-negative least squares for high-dimensional linear models: Consistency and sparse recovery without regularization}},
    year = {2013},
    author = {Slawski, Martin and Hein, Matthias}
}

@incollection{Andre2011,
    title = {{Non-verbal persuasion and communication in an affective agent}},
    year = {2011},
    booktitle = {Cognitive Technologies},
    author = {Andr{\'{e}}, Elisabeth and Bevacqua, Elisabetta and Heylen, Dirk and Niewiadomski, Radoslaw and Pelachaud, Catherine and Peters, Christopher and Poggi, Isabella and Rehm, Matthias},
    number = {9783642151835},
    pages = {585--608},
    isbn = {9783642151842},
    doi = {10.1007/978-3-642-15184-2{\_}30},
    issn = {16112482}
}

@inproceedings{Heimerl2019,
    title = {{NOVA - A tool for eXplainable Cooperative Machine Learning}},
    year = {2019},
    booktitle = {2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII)},
    author = {Heimerl, Alexander and Baur, Tobias and {Florian Lingenfelser} and Wagner, Johannes and Andr{\'{e}}, Elisabeth}
}

@inproceedings{Baur2020,
    title = {{NOVA: A Tool for Explanatory Multimodal Behavior Analysis and Its Application to Psychotherapy}},
    year = {2020},
    booktitle = {International Conference on Multimedia Modeling},
    author = {Baur, Tobias and Clausen, Sina and Heimerl, Alexander and Lingenfelser, Florian and Lutz, Wolfgang and Andr{\'{e}}, Elisabeth},
    pages = {577–588}
}

@article{Puli2022,
    title = {{Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation}},
    year = {2022},
    author = {Puli, Aahlad and Joshi, Nitish and He, He and Ranganath, Rajesh},
    pages = {1--17},
    url = {http://arxiv.org/abs/2210.01302},
    arxivId = {2210.01302}
}

@article{Mokady2022,
    title = {{Null-text Inversion for Editing Real Images using Guided Diffusion Models}},
    year = {2022},
    author = {Mokady, Ron and Hertz, Amir and Aberman, Kfir and Pritch, Yael and Cohen-Or, Daniel},
    url = {http://arxiv.org/abs/2211.09794},
    arxivId = {2211.09794}
}

@inproceedings{Laurencon2023,
    title = {{OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents}},
    year = {2023},
    booktitle = {Advances in Neural Information Processing Systems},
    author = {Lauren{\c{c}}on, Hugo and Saulnier, Lucile and Tronchon, Léo and Bekman, Stas and Singh, Amanpreet and Lozhkov, Anton and Wang, Thomas and Karamcheti, Siddharth and Rush, Alexander M. and Kiela, Douwe and Cord, Matthieu and Sanh, Victor},
    number = {NeurIPS},
    pages = {1--20},
    volume = {36},
    issn = {10495258},
    arxivId = {2306.16527}
}

@article{Gbodjo2020,
    title = {{Object-based multi-temporal and multi-source land cover mapping leveraging hierarchical class relationships}},
    year = {2020},
    journal = {Remote Sensing},
    author = {Gbodjo, Yawogan Jean Eudes and Ienco, Dino and Leroux, Louise and Interdonato, Roberto and Gaetano, Raffaele and Ndao, Babacar},
    number = {17},
    pages = {1--28},
    volume = {12},
    doi = {10.3390/rs12172814},
    issn = {20724292},
    arxivId = {1911.08815},
    keywords = {Deep learning, Land cover classification, Multi-source remote sensing, Neural networks pretraining, Object based image analysis, Satellite image time series}
}

@article{Sigurbergsson2020,
    title = {{Offensive language and hate speech detection for danish}},
    year = {2020},
    journal = {LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings},
    author = {Sigurbergsson, Gudbjartur Ingi and Derczynski, Leon},
    pages = {3498--3508},
    isbn = {9791095546344},
    arxivId = {1908.04531},
    keywords = {Abusive language, Danish, Hate speech detection}
}

@article{Groeneveld2024,
    title = {{OLMo: Accelerating the Science of Language Models}},
    year = {2024},
    author = {Groeneveld, Dirk and Beltagy, Iz and Walsh, Pete and Bhagia, Akshita and Kinney, Rodney and Tafjord, Oyvind and Jha, Ananya Harsh and Ivison, Hamish and Magnusson, Ian and Wang, Yizhong and Arora, Shane and Atkinson, David and Authur, Russell and Chandu, Khyathi Raghavi and Cohan, Arman and Dumas, Jennifer and Elazar, Yanai and Gu, Yuling and Hessel, Jack and Khot, Tushar and Merrill, William and Morrison, Jacob and Muennighoff, Niklas and Naik, Aakanksha and Nam, Crystal and Peters, Matthew E. and Pyatkin, Valentina and Ravichander, Abhilasha and Schwenk, Dustin and Shah, Saurabh and Smith, Will and Strubell, Emma and Subramani, Nishant and Wortsman, Mitchell and Dasigi, Pradeep and Lambert, Nathan and Richardson, Kyle and Zettlemoyer, Luke and Dodge, Jesse and Lo, Kyle and Soldaini, Luca and Smith, Noah A and Hajishirzi, Hannaneh},
    url = {http://arxiv.org/abs/2402.00838},
    arxivId = {2402.00838}
}

@inproceedings{Srivastava2024,
    title = {{OmniVec: Learning robust representations with cross modal sharing}},
    year = {2024},
    booktitle = {Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024},
    author = {Srivastava, Siddharth and Sharma, Gaurav},
    pages = {1225--1237},
    isbn = {9798350318920},
    doi = {10.1109/WACV57701.2024.00127},
    arxivId = {2311.05709},
    keywords = {Algorithms, Image recognition and understanding, Vision + language and/or other modalities}
}

@inproceedings{Vashishtha2023,
    title = {{On Evaluating and Mitigating Gender Biases in Multilingual Settings}},
    year = {2023},
    booktitle = {Findings of ACL: ACL 2023},
    author = {Vashishtha, Aniket and Ahuja, Kabir and Sitaram, Sunayana},
    pages = {307--318}
}

@article{Brunner2019,
    title = {{On identifiability in transformers}},
    year = {2019},
    journal = {arXiv},
    author = {Brunner, Gino and Liu, Yang and Pascual, Damián and Richter, Oliver and Ciaramita, Massimiliano and Wattenhofer, Roger},
    pages = {1--35},
    arxivId = {1908.04211}
}

@article{Izza2022,
    title = {{On Tackling Explanation Redundancy in Decision Trees}},
    year = {2022},
    journal = {Journal of Artificial Intelligence Research},
    author = {Izza, Yacine and Ignatiev, Alexey and Marques-Silva, Joao},
    pages = {261--321},
    volume = {75},
    doi = {10.1613/jair.1.13575},
    issn = {10769757},
    arxivId = {2205.09971}
}

@article{Artetxe2019a,
    title = {{On the cross-lingual transferability of monolingual representations}},
    year = {2019},
    journal = {arXiv},
    author = {Artetxe, Mikel and Ruder, Sebastian and Yogatama, Dani},
    pages = {4623--4637},
    doi = {10.18653/v1/2020.acl-main.421},
    arxivId = {1910.11856}
}

@article{Ferreira2021,
    title = {{On the dynamics of political discussions on Instagram: A network perspective}},
    year = {2021},
    journal = {Online Social Networks and Media},
    author = {Ferreira, Carlos H.G. and Murai, Fabricio and Silva, Ana P.C. and Almeida, Jussara M. and Trevisan, Martino and Vassio, Luca and Mellia, Marco and Drago, Idilio},
    volume = {25},
    doi = {10.1016/j.osnem.2021.100155},
    issn = {24686964},
    arxivId = {2109.09152},
    keywords = {Community dynamics, Information dissemination, Instagram, Network backbone extraction, Political discussions}
}

@article{Serrurier2022a,
    title = {{On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective}},
    year = {2022},
    author = {Serrurier, Mathieu and Mamalet, Franck and Fel, Thomas and B{\'{e}}thune, Louis and Boissin, Thibaut},
    url = {http://arxiv.org/abs/2206.06854},
    arxivId = {2206.06854}
}

@inproceedings{Valentini2021,
    title = {{On the interpretation and significance of bias metrics in texts: a PMI-based approach}},
    year = {2023},
    booktitle = {ACL},
    author = {Valentini, Francisco and Rosati, Germán and Blasi, Damián and Slezak, Diego Fernandez and Altszyler, Edgar},
    number = {1},
    pages = {509--520},
    volume = {2},
    url = {http://arxiv.org/abs/2104.06474},
    arxivId = {2104.06474}
}

@article{Cao2022,
    title = {{On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations}},
    year = {2022},
    journal = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Cao, Yang Trista and Pruksachatkun, Yada and Chang, Kai Wei and Gupta, Rahul and Kumar, Varun and Dhamala, Jwala and Galstyan, Aram},
    pages = {561--570},
    volume = {2},
    isbn = {9781955917223},
    doi = {10.18653/v1/2022.acl-short.62},
    issn = {0736587X},
    arxivId = {2203.13928}
}

@article{Talat2022,
    title = {{On the Machine Learning of Ethical Judgments from Natural Language}},
    year = {2022},
    journal = {NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference},
    author = {Talat, Zeerak and Blix, Hagen and Valvoda, Josef and Ganesh, Maya Indira and Cotterell, Ryan and Williams, Adina},
    pages = {769--779},
    isbn = {9781955917711},
    doi = {10.18653/v1/2022.naacl-main.56}
}

@article{Kojima2024,
    title = {{On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons}},
    year = {2024},
    author = {Kojima, Takeshi and Okimura, Itsuki and Iwasawa, Yusuke and Yanaka, Hitomi and Matsuo, Yutaka},
    url = {http://arxiv.org/abs/2404.12444},
    arxivId = {2404.12444}
}

@inproceedings{Godey2024,
    title = {{On the Scaling Laws of Geographical Representation in Language Models}},
    year = {2024},
    booktitle = {LREC-COLING},
    author = {Godey, Nathan and de la Clergerie, Éric and Sagot, Benoît},
    url = {https://arxiv.org/abs/2402.19406v1},
    arxivId = {2402.19406},
    keywords = {bias, geographic, language models}
}

@article{Costa2020,
    title = {{On the Use of Cameras for the Detection of Critical Events in Sensors-Based Emergency Alerting Systems}},
    year = {2020},
    journal = {Journal of Sensor and Actuator Networks},
    author = {Costa, Daniel G. and Vasques, Francisco and Portugal, Paulo and Aguiar, Ana},
    number = {4},
    volume = {9},
    doi = {10.3390/jsan9040046},
    issn = {22242708},
    keywords = {Emergency alerting, Internet of Things, Sensor networks, Smart cities, Visual sensing}
}

@article{Su2022,
    title = {{One Embedder, Any Task: Instruction-Finetuned Text Embeddings}},
    year = {2022},
    author = {Su, Hongjin and Shi, Weijia and Kasai, Jungo and Wang, Yizhong and Hu, Yushi and Ostendorf, Mari and Yih, Wen-tau and Smith, Noah A. and Zettlemoyer, Luke and Yu, Tao},
    url = {http://arxiv.org/abs/2212.09741},
    arxivId = {2212.09741}
}

@inproceedings{Schmidt2023,
    title = {{One For All {\&} All For One: Bypassing Hyperparameter Tuning with Model Averaging for Cross-Lingual Transfer}},
    year = {2023},
    booktitle = {EMNLP},
    author = {Schmidt, Fabian and Vuli{\'{c}}, Ivan and Glava{\v{s}}, Goran},
    pages = {12186--12193},
    isbn = {9798891760615},
    doi = {10.18653/v1/2023.findings-emnlp.815}
}

@article{GariSoler2022,
    title = {{One Word, Two Sides: Traces of Stance in Contextualized Word Representations}},
    year = {2022},
    journal = {Proceedings of the 29th International Conference on Computational Linguistics},
    author = {Gar{\textbackslash}'{\textbackslash}i Soler, Aina and Labeau, Matthieu and Clavel, Chloé},
    pages = {3950--3959},
    url = {https://aclanthology.org/2022.coling-1.347}
}

@article{Ong2014,
    title = {{Ontology-Based Argument Mining and Automatic Essay Scoring}},
    year = {2014},
    journal = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Ong, Nathan and Litman, Diane and Brusilovsky, Alexandra},
    pages = {24--28},
    isbn = {9781941643068},
    doi = {10.3115/v1/w14-2104},
    issn = {0736587X}
}

@techreport{fouret2019open,
    title = {{Open Justice}},
    year = {2019},
    author = {Fouret, Amaury and Perez, Mathieu and Barri{\`{e}}re, Valentin and Rottier, Edouard and Buat-M{\'{e}}nard, Éloi},
    institution = {Technical report, Direction interminist{\'{e}}rielle du num{\'{e}}rique}
}

@article{Xia2023,
    title = {{OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping}},
    year = {2023},
    journal = {Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023},
    author = {Xia, Junshi and Yokoya, Naoto and Adriano, Bruno and Broni-Bediako, Clifford},
    pages = {6243--6253},
    isbn = {9781665493468},
    doi = {10.1109/WACV56688.2023.00619},
    arxivId = {2210.10732},
    keywords = {Applications: Remote Sensing, Image recognition and understanding (object detect}
}

@article{Wang2024b,
    title = {{OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs}},
    year = {2024},
    author = {Wang, Yuxia and Wang, Minghan and Iqbal, Hasan and Georgiev, Georgi and Geng, Jiahui and Nakov, Preslav},
    url = {http://arxiv.org/abs/2405.05583},
    arxivId = {2405.05583}
}

@article{Johnson2022,
    title = {{OpenSentinelMap: A Large-Scale Land Use Dataset using OpenStreetMap and Sentinel-2 Imagery}},
    year = {2022},
    journal = {IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops},
    author = {Johnson, Noah and Treible, Wayne and Crispell, Daniel},
    pages = {1332--1340},
    volume = {2022-June},
    isbn = {9781665487399},
    doi = {10.1109/CVPRW56347.2022.00139},
    issn = {21607516}
}

@misc{Gokaslan2019OpenWeb,
    title = {{OpenWebText Corpus}},
    year = {2019},
    author = {Gokaslan, Aaron and Cohen, Vanya},
    howpublished = {{\textbackslash}url{\{}http://Skylion007.github.io/OpenWebTextCorpus{\}}}
}

@inproceedings{Barriere2017,
    title = {{Opinion Dynamics Modeling for Movie Review Transcripts Classification with Hidden Conditional Random Fields}},
    year = {2017},
    booktitle = {INTERSPEECH},
    author = {Barriere, Valentin and Clavel, Chloe and Essid, Slim}
}

@article{Pang2008,
    title = {{Opinion Mining and Sentiment Analysis}},
    year = {2008},
    journal = {Foundations and Trends in Information Retrieval},
    author = {Pang, Bo and Lee, Lillian},
    number = {1–2},
    pages = {1--135},
    volume = {2},
    url = {http://www.nowpublishers.com/product.aspx?product=INR&doi=1500000001},
    isbn = {1601981503},
    doi = {10.1561/1500000001},
    issn = {1554-0669},
    pmid = {191},
    arxivId = {cs/0112017}
}

@article{Barriere2022opinions,
    title = {{Opinions in Interactions : New Annotations of the SEMAINE Database}},
    year = {2022},
    journal = {Proceedings of the Language Resources and Evaluation Conference},
    author = {Barriere, Valentin and Essid, Slim and Clavel, Chloé},
    number = {June},
    pages = {7049--7055},
    url = {https://aclanthology.org/2022.lrec-1.762},
    keywords = {interactions, multimodal machine learning, opinion}
}

@article{Visani2020,
    title = {{OptiLIME: Optimized lime explanations for diagnostic computer algorithms}},
    year = {2020},
    journal = {CEUR Workshop Proceedings},
    author = {Visani, Giorgio and Bagli, Enrico and Chesani, Federico},
    volume = {2699},
    issn = {16130073},
    arxivId = {2006.05714},
    keywords = {Explainable AI (XAI), Explanation, Healthcare, Interpretable Machine Learning, LIME, Model Agnostic, Stability}
}

@article{Li2020a,
    title = {{Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks}},
    year = {2020},
    author = {Li, Xiujun and Yin, Xi and Li, Chunyuan and Zhang, Pengchuan and Hu, Xiaowei and Zhang, Lei and Wang, Lijuan and Hu, Houdong and Dong, Li and Wei, Furu and Choi, Yejin and Gao, Jianfeng},
    url = {http://arxiv.org/abs/2004.06165},
    arxivId = {2004.06165},
    keywords = {object semantics, pre-training, vision-and-language}
}

@article{Shaar2020a,
    title = {{Overview of CheckThat ! 2020 English : Automatic Identification and Verification of Claims in Social Media}},
    year = {2020},
    author = {Shaar, Shaden and Nikolov, Alex and Babulkov, Nikolay and Alam, Firoj and Barron-Cedeno, Alberto},
    pages = {22--25}
}

@inproceedings{Barron-Cedeno2020,
    title = {{Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media}},
    year = {2020},
    booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    author = {Barr{\'{o}}n-Cede{\~{n}}o, Alberto and Elsayed, Tamer and Nakov, Preslav and Da San Martino, Giovanni and Hasanain, Maram and Suwaileh, Reem and Haouari, Fatima and Babulkov, Nikolay and Hamdan, Bayan and Nikolov, Alex and Shaar, Shaden and Ali, Zien Sheikh},
    pages = {215--236},
    volume = {12260 LNCS},
    isbn = {9783030582180},
    doi = {10.1007/978-3-030-58219-7{\_}17},
    issn = {16113349},
    arxivId = {2007.07997},
    keywords = {Check-worthiness estimation, Computational journalism, Detecting previously fact-checked claims, Evidence-based verification, Fact-checking, Social media verification, Veracity}
}

@article{Chinchor1999,
    title = {{OVERVIEW OF MUC-7/MET-2 Overviews of English and Multilingual Tasks}},
    year = {1999},
    journal = {Proceedings of the Message Understanding Conference (MUC-7)},
    author = {Chinchor, Nancy A},
    url = {www.muc.saic.com}
}

@article{Seki2010,
    title = {{Overview of Multilingual Opinion analysis Task at NTCIR-8}},
    year = {2010},
    journal = {Proceddings of NTCIR-8 Workshop Meeting},
    author = {Seki, Yohei and Ku, Lun-Wei and Chen, Hsin-Hsi and Sun, Le and Kando, Noriko},
    pages = {209--220}
}

@article{Martinez-Camara2018,
    title = {{Overview of TASS 2018: Opinions, Health and Emotions Resumen de TASS 2018: Opiniones, Salud y Emociones}},
    year = {2018},
    journal = {CEUR Workshop Proceedings},
    author = {Mart{\'{i}}nez-C{\'{a}}mara, Eugenio and Almeida-Cruz, Yudivián and Carlos D{\'{i}}az-Galiano, Manuel and Est{\'{e}}vez-Velarde, Suilan and Garc{\'{i}}a-Cumbreras, Migueí A and Garc{\'{i}}a-Vega, Manuel and Guti{\'{e}}rrez, Yoan and Montejo-R{\'{a}}ez, Arturo and Montoyo, Andrés and Mu{\~{n}}oz, Rafael and Piad-Morffis, Alejandro and Villena-Rom{\'{a}}n, Julio},
    pages = {13--27},
    volume = {2172},
    url = {http://rua.ua.es/dspace/handle/10045/81394%0Ahttp://www.sepln.org/workshops/tass},
    issn = {1613-0073},
    keywords = {Affect Computing, An{\'{a}}lisis de Sentimientos, Inform{\'{a}}tica Afectiva, Lenguajes y Sistemas Inform{\'{a}}ticos, Medios Sociales, Miner{\'{i}}a de Opiniones, Opinion Mining, Salud, Sentiment Analysis, Social Media, e, eHealth}
}

@article{Diaz-Galiano2019,
    title = {{Overview of TASS 2019: One more further for the global Spanish sentiment analysis corpus}},
    year = {2019},
    journal = {CEUR Workshop Proceedings},
    author = {D{\'{i}}az-Galiano, Manuel Carlos and Garc{\'{i}}a-Vega, Manuel and Casasola, Edgar and Chiruzzo, Luis and Garc{\'{i}}a-Cumbreras, Miguel and C{\'{a}}mara, Eugenio Martínez and Moctezuma, Daniela and R{\'{a}}ez, Arturo Montejo and Cabezudo, Marco Antonio Sobrevilla and Tellez, Eric and Graff, Mario and Miranda, Sabino},
    pages = {550--560},
    volume = {2421},
    isbn = {2018094653},
    issn = {16130073},
    keywords = {Opinion mining, Sentiment analysis, Social media}
}

@article{Nakov2018a,
    title = {{Overview of the CLEF-2018 CheckThat ! Lab on Automatic Identification and Verification of Political Claims}},
    year = {2018},
    author = {Nakov, Preslav and Barr, Alberto}
}

@inproceedings{Nakov2018,
    title = {{Overview of the CLEF-2018 checkthat! lab on automatic identification and verification of political claimss. Task 2: Factuality}},
    year = {2018},
    booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    author = {Nakov, Preslav and Barr{\'{o}}n-Cede{\~{n}}o, Alberto and Elsayed, Tamer and Suwaileh, Reem and M{\`{a}}rquez, Lluís and Zaghouani, Wajdi and Atanasova, Pepa and Kyuchukov, Spas and Da San Martino, Giovanni},
    pages = {372--387},
    volume = {11018 LNCS},
    isbn = {9783319989310},
    doi = {10.1007/978-3-319-98932-7{\_}32},
    issn = {16113349},
    keywords = {Check-worthiness estimation, Computational journalism, Fact-checking, Veracity}
}

@article{Atanasova2018,
    title = {{Overview of the CLEF-2019 checkthat! Lab on automatic identification and verification of political claims. Task 1: Check-Worthiness}},
    year = {2018},
    journal = {arXiv},
    author = {Atanasova, Pepa and Nakov, Preslav and Karadzhov, Georgi and Mohtarami, Mitra and Da San Martino, Giovanni},
    pages = {9--12},
    volume = {1},
    issn = {23318422},
    keywords = {Check-worthiness, Computational journalism, Fact-checking, Veracity}
}

@article{Elsayed2019,
    title = {{Overview of the CLEF-2019 CheckThat! Lab: Automatic Identification and Verification of Claims}},
    year = {2019},
    journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    author = {Elsayed, Tamer and Nakov, Preslav and Barr{\'{o}}n-Cede{\~{n}}o, Alberto and Hasanain, Maram and Suwaileh, Reem and Da San Martino, Giovanni and Atanasova, Pepa},
    pages = {301--321},
    volume = {11696 LNCS},
    isbn = {9783030285760},
    doi = {10.1007/978-3-030-28577-7{\_}25},
    issn = {16113349},
    keywords = {Check-worthiness estimation, Computational journalism, Evidence-based verification, Fact-checking, Fake news detection, Veracity}
}

@article{Barbieri2016,
    title = {{Overview of the evalita 2016 sentiment polarity classification task}},
    year = {2016},
    journal = {CEUR Workshop Proceedings},
    author = {Barbieri, Francesco and Basile, Valerio and Croce, Danilo and Nissim, Malvina and Novielli, Nicole and Patti, Viviana},
    volume = {1749},
    issn = {16130073}
}

@article{Bosco2018,
    title = {{Overview of the EVALITA 2018 hate speech detection task}},
    year = {2018},
    journal = {CEUR Workshop Proceedings},
    author = {Bosco, Cristina and Sanguinetti, Manuela and Dell’Orletta, Felice and Poletto, Fabio and Tesconi, Maurizio},
    volume = {2263},
    doi = {10.4000/books.aaccademia.4503},
    issn = {16130073}
}

@article{VonDaniken2020,
    title = {{Overview of the germeval 2020 shared task on Swiss German language identification}},
    year = {2020},
    journal = {CEUR Workshop Proceedings},
    author = {von D{\"{a}}niken, Pius and H{\"{u}}rlimann, Manuela and Cieliebak, Mark},
    volume = {2624},
    issn = {16130073}
}

@inproceedings{Bondarenko2023,
    title = {{Overview of Touch{\'{e}},2023: Argument and Causal Retrieval}},
    year = {2023},
    booktitle = {ECIR},
    author = {Bondarenko, Alexander and Fr{\"{o}}be, Maik and Kiesel, Johannes and Schlatt, Ferdinand and Barriere, Valentin and Ravenet, Brian and Hemamou, Léo and Luck, Simon and Reimer, Jan-Heinrich and Stein, Benno and Potthast, Martin and Hagen, Matthias}
}

@article{Li2021e,
    title = {{P-Stance: A Large Dataset for Stance Detection in Political Domain}},
    year = {2021},
    journal = {Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021},
    author = {Li, Yingjie and Sosea, Tiberiu and Sawant, Aditya and Nair, Ajith Jayaraman and Inkpen, Diana and Caragea, Cornelia},
    pages = {2355--2365},
    isbn = {9781954085541},
    doi = {10.18653/v1/2021.findings-acl.208}
}

@article{Liu2022b,
    title = {{P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks}},
    year = {2022},
    author = {Liu, Xiao and Ji, Kaixuan and Fu, Yicheng and Tam, Weng and Du, Zhengxiao and Yang, Zhilin and Tang, Jie},
    pages = {61--68},
    doi = {10.18653/v1/2022.acl-short.8},
    arxivId = {arXiv:2110.07602v3}
}

@article{Ben-David2021,
    title = {{PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains}},
    year = {2021},
    author = {Ben-David, Eyal and Oved, Nadav and Reichart, Roi},
    url = {http://arxiv.org/abs/2102.12206},
    doi = {10.1162/tacl{\_}a{\_}00468},
    arxivId = {2102.12206}
}

@article{Google2023,
    title = {{PaLM 2 Technical Report}},
    year = {2023},
    author = {{Google}},
    number = {May},
    arxivId = {arXiv:2305.10403v3}
}

@article{Chowdhery2022palm,
    title = {{PaLM : Scaling Language Modeling with Pathways}},
    journal = {arXiv},
    author = {Chowdhery, Aakanksha and Narang, Sharan and Devlin, Jacob and Reif, Emily and Barham, Paul and Bradbury, James and Gur-ari, Guy and Wei, Jason and Oct, C L and Yin, Pengcheng and Zhou, Denny and Dai, Andrew M and Robinson, Kevin and Lee, Katherine and Zoph, Barret and Diaz, Mark and Meier-hellstern, Kathy},
    pages = {1--87},
    arxivId = {arXiv:2204.02311v5}
}

@article{Garnot2021,
    title = {{Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks}},
    year = {2021},
    journal = {Proceedings of the IEEE International Conference on Computer Vision},
    author = {Garnot, Vivien Sainte Fare and Landrieu, Loic},
    pages = {4852--4861},
    isbn = {9781665428125},
    doi = {10.1109/ICCV48922.2021.00483},
    issn = {15505499},
    arxivId = {2107.07933}
}

@article{Garnot2021b,
    title = {{Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks}},
    year = {2021},
    journal = {Proceedings of the IEEE International Conference on Computer Vision},
    author = {Garnot, Vivien Sainte Fare and Landrieu, Loic},
    pages = {4852--4861},
    isbn = {9781665428125},
    doi = {10.1109/ICCV48922.2021.00483},
    issn = {15505499},
    arxivId = {2107.07933}
}

@article{Chalkidis2021,
    title = {{Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases}},
    year = {2021},
    author = {Chalkidis, Ilias and Fergadiotis, Manos and Tsarapatsanis, Dimitrios and Aletras, Nikolaos and Androutsopoulos, Ion and Malakasiotis, Prodromos},
    pages = {226--241},
    doi = {10.18653/v1/2021.naacl-main.22},
    arxivId = {2103.13084}
}

@article{Mallinson2017,
    title = {{Paraphrasing revisited with neural machine translation}},
    year = {2017},
    journal = {15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of Conference},
    author = {Mallinson, Jonathan and Sennrich, Rico and Lapata, Mirella},
    number = {2003},
    pages = {881--893},
    volume = {1},
    isbn = {9781510838604},
    doi = {10.18653/v1/e17-1083}
}

@inproceedings{Du2023,
    title = {{PARCS : A Deployment-Oriented AI System for Robust Parcel-Level Cropland Segmentation of Satellite Images}},
    year = {2023},
    booktitle = {AAAI},
    author = {Du, Chen and Wang, Yiwei and Yang, Zhicheng and Zhou, Hang and Han, Mei and Lai, Jui-hsin}
}

@inproceedings{Zelikman2022,
    title = {{Parsel: Algorithmic Reasoning with Language Models by Composing Decompositions}},
    year = {2023},
    author = {Zelikman, Eric and Huang, Qian and Poesia, Gabriel and Goodman, Noah D. and Haber, Nick},
    number = {NeurIPS},
    pages = {1--58},
    url = {http://arxiv.org/abs/2212.10561},
    arxivId = {2212.10561}
}

@article{Boone2021,
    title = {{ParSNIP: Generative Models of Transient Light Curves with Physics-enabled Deep Learning}},
    year = {2021},
    journal = {The Astronomical Journal},
    author = {Boone, Kyle},
    number = {6},
    pages = {275},
    volume = {162},
    doi = {10.3847/1538-3881/ac2a2d},
    issn = {0004-6256},
    arxivId = {2109.13999},
    keywords = {classification, supernovae, transient sources}
}

@article{Golovneva2023,
    title = {{PathFinder: Guided Search over Multi-Step Reasoning Paths}},
    year = {2023},
    author = {Golovneva, Olga and O'Brien, Sean and Pasunuru, Ramakanth and Wang, Tianlu and Zettlemoyer, Luke and Fazel-Zarandi, Maryam and Celikyilmaz, Asli},
    url = {http://arxiv.org/abs/2312.05180},
    arxivId = {2312.05180}
}

@article{Praet2021,
    title = {{Patterns of democracy? Social network analysis of parliamentary Twitter networks in 12 countries}},
    year = {2021},
    journal = {Online Social Networks and Media},
    author = {Praet, Stiene and Martens, David and Van Aelst, Peter},
    number = {May},
    pages = {100154},
    volume = {24},
    publisher = {Elsevier B.V.},
    url = {https://doi.org/10.1016/j.osnem.2021.100154},
    doi = {10.1016/j.osnem.2021.100154},
    issn = {24686964},
    keywords = {Comparative research, Elite polarization, Parliamentary Twitter networks, Social network analysis}
}

@article{Dumeur2024,
    title = {{Paving the way toward foundation models for irregular and unaligned Satellite Image Time Series}},
    year = {2024},
    author = {Dumeur, Iris and Valero, Silvia and Inglada, Jordi},
    pages = {1--13},
    url = {http://arxiv.org/abs/2407.08448},
    arxivId = {2407.08448}
}

@article{Allaway2022,
    title = {{Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions}},
    year = {2022},
    author = {Allaway, Emily and Hwang, Jena D. and Bhagavatula, Chandra and McKeown, Kathleen and Downey, Doug and Choi, Yejin},
    number = {Cdc},
    url = {http://arxiv.org/abs/2205.11658},
    arxivId = {2205.11658}
}

@article{Jaegle2021,
    title = {{Perceiver IO: A General Architecture for Structured Inputs {\&} Outputs}},
    year = {2021},
    author = {Jaegle, Andrew and Borgeaud, Sebastian and Alayrac, Jean-Baptiste and Doersch, Carl and Ionescu, Catalin and Ding, David and Koppula, Skanda and Zoran, Daniel and Brock, Andrew and Shelhamer, Evan and H{\'{e}}naff, Olivier and Botvinick, Matthew M. and Zisserman, Andrew and Vinyals, Oriol and Carreira, João},
    url = {http://arxiv.org/abs/2107.14795},
    arxivId = {2107.14795}
}

@article{Jaegle2021a,
    title = {{Perceiver IO: A General Architecture for Structured Inputs {\&} Outputs}},
    year = {2021},
    author = {Jaegle, Andrew and Borgeaud, Sebastian and Alayrac, Jean-Baptiste and Doersch, Carl and Ionescu, Catalin and Ding, David and Koppula, Skanda and Zoran, Daniel and Brock, Andrew and Shelhamer, Evan and H{\'{e}}naff, Olivier and Botvinick, Matthew M. and Zisserman, Andrew and Vinyals, Oriol and Carreira, Joāo},
    url = {http://arxiv.org/abs/2107.14795},
    arxivId = {2107.14795}
}

@article{Jang2023,
    title = {{Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging}},
    year = {2023},
    author = {Jang, Joel and Kim, Seungone and Lin, Bill Yuchen and Wang, Yizhong and Hessel, Jack and Zettlemoyer, Luke and Hajishirzi, Hannaneh and Choi, Yejin and Ammanabrolu, Prithviraj},
    pages = {1--18},
    url = {http://arxiv.org/abs/2310.11564},
    arxivId = {2310.11564}
}

@article{Longpre2019,
    title = {{Persuasion of the undecided: Language vs. The listener}},
    year = {2019},
    journal = {ACL 2019 - 6th Workshop on Argument Mining, ArgMining 2019 - Proceedings of the Workshop},
    author = {Longpre, Liane and Durmus, Esin and Cardie, Claire},
    pages = {167--176},
    isbn = {9781950737338},
    doi = {10.18653/v1/w19-4519}
}

@article{Hidey2018,
    title = {{Persuasive influence detection: The role of argument sequencing}},
    year = {2018},
    journal = {32nd AAAI Conference on Artificial Intelligence, AAAI 2018},
    author = {Hidey, Christopher and McKeown, Kathleen},
    pages = {5173--5180},
    isbn = {9781577358008},
    doi = {10.1609/aaai.v32i1.12003},
    issn = {2159-5399},
    keywords = {Natural Language Processing and Machine Learning T}
}

@article{Elaraby2024,
    title = {{Persuasiveness of Generated Free-Text Rationales in Subjective Decisions: A Case Study on Pairwise Argument Ranking}},
    year = {2024},
    author = {Elaraby, Mohamed and Litman, Diane and Li, Xiang Lorraine and Magooda, Ahmed},
    pages = {14311--14329},
    url = {http://arxiv.org/abs/2406.13905},
    arxivId = {2406.13905}
}

@article{Borzunov2022,
    title = {{Petals: Collaborative Inference and Fine-tuning of Large Models}},
    year = {2022},
    author = {Borzunov, Alexander and Baranchuk, Dmitry and Dettmers, Tim and Ryabinin, Max and Belkada, Younes and Chumachenko, Artem and Samygin, Pavel and Raffel, Colin},
    url = {http://arxiv.org/abs/2209.01188},
    arxivId = {2209.01188}
}

@article{Wang2021a,
    title = {{Phenology Alignment Network : A Novel Framework for Cross-Regional Time Series Crop Classification}},
    year = {2021},
    journal = {2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
    author = {Wang, Ziqiao and Zhang, Hongyan and He, Wei and Zhang, Liangpei},
    pages = {2934--2943},
    publisher = {IEEE},
    isbn = {9781665448994},
    doi = {10.1109/CVPRW53098.2021.00329}
}

@article{Fibaek2024,
    title = {{PhilEO Bench: Evaluating Geo-Spatial Foundation Models}},
    year = {2024},
    author = {Fibaek, Casper and Camilleri, Luke and Luyts, Andreas and Dionelis, Nikolaos and Saux, Bertrand Le},
    pages = {3--8},
    url = {http://arxiv.org/abs/2401.04464},
    arxivId = {2401.04464}
}

@article{Kashinath2021,
    title = {{Physics-informed machine learning: Case studies for weather and climate modelling}},
    year = {2021},
    journal = {Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences},
    author = {Kashinath, K. and Mustafa, M. and Albert, A. and Wu, J. L. and Jiang, C. and Esmaeilzadeh, S. and Azizzadenesheli, K. and Wang, R. and Chattopadhyay, A. and Singh, A. and Manepalli, A. and Chirila, D. and Yu, R. and Walters, R. and White, B. and Xiao, H. and Tchelepi, H. A. and Marcus, P. and Anandkumar, A. and Hassanzadeh, P. and {Prabhat}},
    number = {2194},
    volume = {379},
    doi = {10.1098/rsta.2020.0093},
    issn = {1364503X},
    pmid = {33583262},
    keywords = {neural networks, physical constraints, physics-informed machine learning, turbulent flows, weather and climate modeling}
}

@article{Henderson2022,
    title = {{Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset}},
    year = {2022},
    author = {Henderson, Peter and Krass, Mark S. and Zheng, Lucia and Guha, Neel and Manning, Christopher D. and Jurafsky, Dan and Ho, Daniel E.},
    url = {http://arxiv.org/abs/2207.00220},
    arxivId = {2207.00220}
}

@article{Nozza2022,
    title = {{Pipelines for Social Bias Testing of Large Language Models}},
    year = {2022},
    journal = {2022 Challenges and Perspectives in Creating Large Language Models, Proceedings of the Workshop},
    author = {Nozza, Debora and Bianchi, Federico and Hovy, Dirk},
    pages = {68--74},
    isbn = {9781955917261},
    doi = {10.18653/v1/2022.bigscience-1.6}
}

@inproceedings{Li2024,
    title = {{PLAES : Prompt-generalized and Level-aware Learning Framework for Cross-prompt Automated Essay Scoring}},
    year = {2024},
    booktitle = {LREC-COLING},
    author = {Li, Xia and Chen, Yuan},
    pages = {12775--12786},
    keywords = {automated essay scoring, chen, contrastive learning, cross-prompt aes, meta learning, xia li and yuan}
}

@article{Mishra2024,
    title = {{Please Donate to Save a Life: Inducing Politeness to Handle Resistance in Persuasive Dialogue Agents}},
    year = {2024},
    journal = {IEEE/ACM Transactions on Audio Speech and Language Processing},
    author = {Mishra, Kshitij and Firdaus, Mauajama and Ekbal, Asif},
    pages = {2202--2212},
    volume = {32},
    doi = {10.1109/TASLP.2024.3357032},
    issn = {23299304},
    keywords = {Politeness, persuasion, politeness coherence, politeness transfer, reinforcement learning, resistance, transformers}
}

@article{Chi2023,
    title = {{PLUE : Language Understanding Evaluation Benchmark for Privacy Policies in English}},
    year = {2023},
    journal = {ACL},
    author = {Chi, Jianfeng and Uddin, Wasi and Yuan, Ahmad and Chang, Tian Kai-wei},
    number = {1}
}

@inproceedings{Mai2020,
    title = {{Plug and play autoencoders for conditional text generation}},
    year = {2020},
    booktitle = {EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference},
    author = {Mai, Florian and Pappas, Nikolaos and Montero, Ivan and Smith, Noah A and Henderson, James},
    pages = {6076--6092},
    isbn = {9781952148606},
    doi = {10.18653/v1/2020.emnlp-main.491},
    arxivId = {2010.02983}
}

@article{Madaan2020,
    title = {{Politeness transfer: A tag and generate approach}},
    year = {2020},
    journal = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Madaan, Aman and Setlur, Amrith and Parekh, Tanmay and Poczos, Barnabas and Neubig, Graham and Yang, Yiming and Salakhutdinov, Ruslan and Black, Alan W. and Prabhumoye, Shrimai},
    pages = {1869--1881},
    isbn = {9781952148255},
    doi = {10.18653/v1/2020.acl-main.169},
    issn = {0736587X},
    arxivId = {2004.14257}
}

@article{Glas2015b,
    title = {{Politeness versus Perceived Engagement: An Experimental Study}},
    year = {2015},
    journal = {Natural Language Processing and Cognitive Science},
    author = {Glas, Nadine and Pelachaud, Catherine},
    pages = {135--148},
    doi = {10.1515/9781501501289.135}
}

@article{Bharti2023,
    title = {{PolitePEER: does peer review hurt? A dataset to gauge politeness intensity in the peer reviews}},
    year = {2023},
    journal = {Language Resources and Evaluation},
    author = {Bharti, Prabhat Kumar and Navlakha, Meith and Agarwal, Mayank and Ekbal, Asif},
    number = {0123456789},
    publisher = {Springer Netherlands},
    url = {https://doi.org/10.1007/s10579-023-09662-3},
    isbn = {1057902309662},
    doi = {10.1007/s10579-023-09662-3},
    issn = {15728412},
    keywords = {Dataset applications, Digital libraries, Politeness scaling, Review comments}
}

@article{Zaberer2023,
    title = {{Political claim identification and categorization in a multilingual setting: First experiments}},
    year = {2023},
    author = {Zaberer, Urs and Pad{\'{o}}, Sebastian and Lapesa, Gabriella},
    url = {http://arxiv.org/abs/2310.09256},
    arxivId = {2310.09256}
}

@article{Rottger2024,
    title = {{Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models}},
    year = {2024},
    author = {R{\"{o}}ttger, Paul and Hofmann, Valentin and Pyatkin, Valentina and Hinck, Musashi and Kirk, Hannah Rose and Sch{\"{u}}tze, Hinrich and Hovy, Dirk},
    pages = {15295--15311},
    volume = {1},
    url = {http://arxiv.org/abs/2402.16786},
    isbn = {9798891760943},
    issn = {0736587X},
    arxivId = {2402.16786}
}

@article{Mulcaire2019,
    title = {{Polyglot Contextual Representations Improve Crosslingual Transfer}},
    year = {2019},
    author = {Mulcaire, Phoebe and Kasai, Jungo and Smith, Noah A},
    pages = {3912--3918}
}

@article{Al-Rfou2015,
    title = {{POLYGLOT-NER: Massive Multilingual named entity recognition}},
    year = {2015},
    journal = {SIAM International Conference on Data Mining 2015, SDM 2015},
    author = {Al-Rfou, Rami and Kulkarni, Vivek and Perozzi, Bryan and Skiena, Steven},
    pages = {586--594},
    isbn = {9781510811522},
    doi = {10.1137/1.9781611974010.66},
    arxivId = {1410.3791}
}

@inproceedings{Akbik2019,
    title = {{Pooled Contextualized Embeddings for Named Entity Recognition}},
    year = {2019},
    booktitle = {NAACL-HLT},
    author = {Akbik, Alan and Bergmann, Tanja and Vollgraf, Roland}
}

@article{Opitz1999,
    title = {{Popular Ensemble Methods: An Empirical Study}},
    year = {1999},
    journal = {Journal of Artificial Intelligence Research},
    author = {Opitz, David and Maclin, Richard},
    pages = {169--198},
    volume = {11},
    doi = {10.1613/jair.614},
    issn = {10769757},
    arxivId = {1106.0257}
}

@inproceedings{Sorensen2024,
    title = {{Position: A Roadmap to Pluralistic Alignment}},
    year = {2024},
    booktitle = {Proceedings of the 41 st International Conference on Machine Learning},
    author = {Sorensen, Taylor and Moore, Jared and Fisher, Jillian and Gordon, Mitchell and Mireshghallah, Niloofar and Rytting, Christopher Michael and Ye, Andre and Jiang, Liwei and Lu, Ximing and Dziri, Nouha and Althoff, Tim and Choi, Yejin},
    url = {http://arxiv.org/abs/2402.05070},
    arxivId = {2402.05070}
}

@article{Pei2022,
    title = {{POTATO: The Portable Text Annotation Tool}},
    year = {2022},
    author = {Pei, Jiaxin and Ananthasubramaniam, Aparna and Wang, Xingyao and Zhou, Naitian and Sargent, Jackson and Dedeloudis, Apostolos and Jurgens, David},
    url = {http://arxiv.org/abs/2212.08620},
    arxivId = {2212.08620}
}

@article{Basu2013,
    title = {{Powergrading: a Clustering Approach to Amplify Human Effort for Short Answer Grading}},
    year = {2013},
    journal = {Transactions of the Association for Computational Linguistics},
    author = {Basu, Sumit and Jacobs, Chuck and Vanderwende, Lucy},
    pages = {391--402},
    volume = {1},
    doi = {10.1162/tacl{\_}a{\_}00236}
}

@article{Gu2021,
    title = {{PPT: Pre-trained Prompt Tuning for Few-shot Learning}},
    year = {2021},
    author = {Gu, Yuxian and Han, Xu and Liu, Zhiyuan and Huang, Minlie},
    url = {http://arxiv.org/abs/2109.04332},
    arxivId = {2109.04332}
}

@article{Imran2013a,
    title = {{Practical extraction of disaster-relevant information from social media}},
    year = {2013},
    journal = {WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web},
    author = {Imran, Muhammad and Elbassuoni, Shady and Castillo, Carlos and Diaz, Fernando and Meier, Patrick},
    pages = {1021--1024},
    isbn = {9781450320382},
    doi = {10.1145/2487788.2488109},
    keywords = {Information extraction, Information filtering, Social media}
}

@article{Yaramasu2020,
    title = {{Pre-season crop type mapping using deep neural networks}},
    year = {2020},
    journal = {Computers and Electronics in Agriculture},
    author = {Yaramasu, Raghu and Bandaru, Varaprasad and Pnvr, Koutilya},
    number = {March},
    pages = {105664},
    volume = {176},
    publisher = {Elsevier},
    url = {https://doi.org/10.1016/j.compag.2020.105664},
    doi = {10.1016/j.compag.2020.105664},
    issn = {01681699},
    keywords = {BiConvLSTM, Corn, Crop classification, Machine learning, Neural networks, Soybean}
}

@inproceedings{Bai2021,
    title = {{Pre-train or Annotate? Domain Adaptation with a Constrained Budget}},
    year = {2021},
    booktitle = {EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings},
    author = {Bai, Fan and Ritter, Alan and Xu, Wei},
    pages = {5002--5015},
    isbn = {9781955917094},
    doi = {10.18653/v1/2021.emnlp-main.409},
    arxivId = {2109.04711}
}

@inproceedings{dunn2024pre,
    title = {{Pre-Trained Language Models Represent Some Geographic Populations Better than Others}},
    year = {2024},
    booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
    author = {Dunn, Jonathan and Adams, Benjamin and Madabushi, Harish Tayyar},
    pages = {12966--12976}
}

@article{Clark2020,
    title = {{Pre-Training Transformers as Energy-Based Cloze Models}},
    year = {2020},
    author = {Clark, Kevin and Luong, Minh-Thang and Le, Quoc and Manning, Christopher D.},
    pages = {285--294},
    doi = {10.18653/v1/2020.emnlp-main.20},
    arxivId = {2012.08561}
}

@article{Beauchamp2017,
    title = {{Predicting and Interpolating State-Level Polls Using Twitter Textual Data}},
    year = {2017},
    journal = {American Journal of Political Science},
    author = {Beauchamp, Nicholas},
    number = {2},
    pages = {490--503},
    volume = {61},
    doi = {10.1111/ajps.12274},
    issn = {15405907}
}

@article{Nihei2014,
    title = {{Predicting influential statements in group discussions using speech and head motion information}},
    year = {2014},
    journal = {ICMI 2014 - Proceedings of the 2014 International Conference on Multimodal Interaction},
    author = {Nihei, Fumio and Nakano, Yukiko I. and Hayashi, Yuki and Huang, Hung Hsuan and Okada, Shogo},
    pages = {136--143},
    isbn = {9781450328852},
    doi = {10.1145/2663204.2663248},
    keywords = {Facilitation, Group discussion, Influential statements, Nonverbal information}
}

@article{Castillo2013,
    title = {{Predicting information credibility in time-sensitive social media}},
    year = {2013},
    journal = {Internet Research},
    author = {Castillo, Carlos and Mendoza, Marcelo and Poblete, Barbara},
    number = {5},
    pages = {560--588},
    volume = {23},
    doi = {10.1108/IntR-05-2012-0095},
    issn = {10662243},
    keywords = {Information credibility, Model transfer, Online social networks, Social media prediction, Time sensitiveness}
}

@article{Zampieri2019,
    title = {{Predicting the type and target of offensive posts in social media}},
    year = {2019},
    journal = {arXiv},
    author = {Zampieri, Marcos and Malmasi, Shervin and Nakov, Preslav and Rosenthal, Sara and Farra, Noura and Kumar, Ritesh},
    pages = {1415--1420},
    issn = {23318422}
}

@article{zambrano2018prediction,
    title = {{Prediction of drought-induced reduction of agricultural productivity in Chile from MODIS, rainfall estimates, and climate oscillation indices}},
    year = {2018},
    journal = {Remote sensing of environment},
    author = {Zambrano, Francisco and Vrieling, Anton and Nelson, Andy and Meroni, Michele and Tadesse, Tsegaye},
    pages = {15--30},
    volume = {219},
    publisher = {Elsevier}
}

@article{marszalek2022prediction,
    title = {{Prediction of multi-year winter wheat yields at the field level with satellite and climatological data}},
    year = {2022},
    journal = {Computers and Electronics in Agriculture},
    author = {Marszalek, Michael and K{\"{o}}rner, Marco and Schmidhalter, Urs},
    pages = {106777},
    volume = {194},
    publisher = {Elsevier}
}

@article{Kursuncu2018,
    title = {{Predictive analysis on twitter: Techniques and applications}},
    year = {2018},
    journal = {arXiv},
    author = {Kursuncu, Ugur and Gaur, Manas and Lokala, Usha and Thirunarayan, Krishnaprasad and Sheth, Amit and Arpinar, I. Budak},
    pages = {1--37},
    doi = {10.1007/978-3-319-94105-9{\_}4},
    issn = {23318422},
    arxivId = {1806.02377},
    keywords = {Citizen sensing, Community evolution, Demographic prediction, Drug trends, Election prediction, Event analysis, Harassment detection, Machine Learning, Mental health, Semantic Social Computing, Sentiment-emotion-intent analysis, Social media analysis, Spatio-temporalthematic analysis, Stock Market prediction}
}

@inproceedings{Li2021g,
    title = {{Prefix-tuning: Optimizing continuous prompts for generation}},
    year = {2021},
    booktitle = {ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference},
    author = {Li, Xiang Lisa and Liang, Percy},
    pages = {4582--4597},
    isbn = {9781954085527},
    doi = {10.18653/v1/2021.acl-long.353},
    arxivId = {2101.00190}
}

@article{Govil2020,
    title = {{Preliminary results from a wildfire detection system using deep learning on remote camera images}},
    year = {2020},
    journal = {Remote Sensing},
    author = {Govil, Kinshuk and Welch, Morgan L. and Ball, J. Timothy and Pennypacker, Carlton R.},
    number = {1},
    volume = {12},
    doi = {10.3390/RS12010166},
    issn = {20724292},
    keywords = {Fire detection, Machine learning, Smoke detection}
}

@article{Korbak2023,
    title = {{Pretraining Language Models with Human Preferences}},
    year = {2023},
    journal = {arXiv},
    author = {Korbak, Tomasz and Shi, Kejian and Chen, Angelica and Bhalerao, Rasika and Buckley, Christopher L and Phang, Jason and Bowman, Samuel R and Perez, Ethan},
    url = {http://arxiv.org/abs/2302.08582},
    arxivId = {2302.08582}
}

@article{Chen2020a,
    title = {{Proactive Discovery of Fake News Domains from Real-Time Social Media Feeds}},
    year = {2020},
    journal = {The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020},
    author = {Chen, Zhouhan and Freire, Juliana},
    pages = {584--592},
    isbn = {9781450370240},
    doi = {10.1145/3366424.3385772},
    keywords = {fake news discovery, misinformation, social network analysis}
}

@article{Belinkov2022,
    title = {{Probing Classifiers: Promises, Shortcomings, and Advances}},
    year = {2022},
    journal = {Computational Linguistics},
    author = {Belinkov, Yonatan},
    number = {1},
    pages = {207--219},
    volume = {48},
    doi = {10.1162/COLI{\_}a{\_}00422},
    issn = {15309312},
    arxivId = {2102.12452}
}

@inproceedings{abercrombie2022proceedings,
    title = {{Proceedings of the 1st Workshop on Perspectivist Approaches to NLP@ LREC2022}},
    year = {2022},
    booktitle = {Proceedings of the 1st Workshop on Perspectivist Approaches to NLP@ LREC2022},
    author = {Abercrombie, Gavin and Basile, Valerio and Tonelli, Sara and Rieser, Verena and Uma, Alexandra}
}

@inproceedings{abercrombie2024proceedings,
    title = {{Proceedings of the 3rd Workshop on Perspectivist Approaches to NLP (NLPerspectives)@ LREC-COLING 2024}},
    year = {2024},
    booktitle = {Proceedings of the 3rd Workshop on Perspectivist Approaches to NLP (NLPerspectives)@ LREC-COLING 2024},
    author = {Abercrombie, Gavin and Basile, Valerio and Bernadi, Davide and Dudy, Shiran and Frenda, Simona and Havens, Lucy and Tonelli, Sara}
}

@inproceedings{ACL23proceedings,
    title = {{Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)}},
    year = {2023},
    booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
    author = {Rogers, Anna and Boyd-Graber, Jordan and Okazaki, Naoaki}
}

@book{Ogrodniczuk2019,
    title = {{Proceedings of the PolEval 2019 Workshop}},
    year = {2019},
    author = {Ogrodniczuk, Maciej and Kobyli{\'{n}}ski, Łukasz},
    isbn = {978-83-63159-28-3}
}

@article{Alam2018d,
    title = {{Processing Social Media Images by Combining Human and Machine Computing during Crises}},
    year = {2018},
    journal = {International Journal of Human-Computer Interaction},
    author = {Alam, Firoj and Ofli, Ferda and Imran, Muhammad},
    number = {4},
    pages = {311--327},
    volume = {34},
    doi = {10.1080/10447318.2018.1427831},
    issn = {15327590}
}

@article{Razdaibiedina2023,
    title = {{Progressive Prompts: Continual Learning for Language Models}},
    year = {2023},
    author = {Razdaibiedina, Anastasia and Mao, Yuning and Hou, Rui and Khabsa, Madian and Lewis, Mike and Almahairi, Amjad},
    pages = {1--22},
    url = {http://arxiv.org/abs/2301.12314},
    arxivId = {2301.12314}
}

@inproceedings{Kambhatla2024,
    title = {{Promoting Constructive Deliberation: Reframing for Receptiveness}},
    year = {2024},
    booktitle = {EMNLP},
    author = {Kambhatla, Gauri and Lease, Matthew and Rajadesingan, Ashwin},
    number = {2020},
    arxivId = {2405.15067v2}
}

@inproceedings{Khashabi2022,
    title = {{PROMPT WAYWARDNESS : The Curious Case of Discretized Interpretation of Continuous Prompts}},
    year = {2022},
    booktitle = {NAACL},
    author = {Khashabi, Daniel and Lyu, Xinxi and Min, Sewon and Qin, Lianhui and Richardson, Kyle and Welleck, Sean and Hajishirzi, Hannaneh and Khot, Tushar and Sabharwal, Ashish and Singh, Sameer and Choi, Yejin},
    pages = {3631--3643}
}

@inproceedings{Li2021c,
    title = {{Prompt-based Pre-trained Model for Personality and Interpersonal Reactivity Prediction}},
    year = {2022},
    booktitle = {WASSA},
    author = {Li, Bin and Weng, Yixuan and Song, Qiya and Ma, Fuyan and Sun, Bin and Li, Shutao},
    number = {2016}
}

@article{Hertz2022,
    title = {{Prompt-to-Prompt Image Editing with Cross Attention Control}},
    year = {2022},
    author = {Hertz, Amir and Mokady, Ron and Tenenbaum, Jay and Aberman, Kfir and Pritch, Yael and Cohen-Or, Daniel},
    pages = {1--19},
    url = {http://arxiv.org/abs/2208.01626},
    arxivId = {2208.01626}
}

@article{Cox2023,
    title = {{Prompting a Large Language Model to Generate Diverse Motivational Messages: A Comparison with Human-Written Messages}},
    year = {2023},
    journal = {ACM International Conference Proceeding Series},
    author = {Cox, Samuel Rhys and Abdul, Ashraf and Ooi, Wei Tsang},
    pages = {378--380},
    isbn = {9798400708244},
    doi = {10.1145/3623809.3623931},
    arxivId = {2308.13479},
    keywords = {Creativity, Crowdsourcing, Large Language Models, Prompt Engineering}
}

@article{Meincke2024,
    title = {{Prompting Diverse Ideas: Increasing AI Idea Variance}},
    year = {2024},
    journal = {SSRN Electronic Journal},
    author = {Meincke, Lennart and Mollick, Ethan R. and Terwiesch, Christian},
    doi = {10.2139/ssrn.4708466},
    keywords = {ai, artificial intelligence, chatgpt, creative problem solving, creativity, idea generation, idea space, innovation, language models, large-scale, llm, prompt engineering}
}

@article{Lee2024arxiv,
    title = {{Prompting Large Language Models for Zero-shot Essay Scoring via Multi-trait Specialization}},
    year = {2024},
    author = {Lee, Sanwoo and Cai, Yida and Meng, Desong and Wang, Ziyang and Wu, Yunfang},
    url = {http://arxiv.org/abs/2404.04941},
    arxivId = {2404.04941}
}

@article{Ju2021,
    title = {{Prompting Visual-Language Models for Efficient Video Understanding}},
    year = {2021},
    author = {Ju, Chen and Han, Tengda and Zheng, Kunhao and Zhang, Ya and Xie, Weidi},
    url = {http://arxiv.org/abs/2112.04478},
    arxivId = {2112.04478}
}

@article{Puranik2023,
    title = {{PROTEGE: Prompt-based Diverse Question Generation from Web Articles}},
    year = {2023},
    journal = {Findings of the Association for Computational Linguistics: EMNLP 2023},
    author = {Puranik, Vinayak S. and Majumder, Anirban and Chaoji, Vineet},
    pages = {5449--5463},
    isbn = {9798891760615},
    doi = {10.18653/v1/2023.findings-emnlp.362}
}

@article{Cui2021,
    title = {{Prototypical Verbalizer for Prompt-based Few-shot Tuning}},
    year = {2021},
    author = {Cui, Ganqu and Hu, Shengding and Ding, Ning and Huang, Longtao and Liu, Zhiyuan and Group, Alibaba},
    arxivId = {arXiv:2203.09770v1}
}

@article{Izza2022a,
    title = {{Provably Precise, Succinct and Efficient Explanations for Decision Trees}},
    year = {2022},
    author = {Izza, Yacine and Ignatiev, Alexey and Narodytska, Nina and Cooper, Martin C. and Marques-Silva, Joao},
    pages = {1--8},
    url = {http://arxiv.org/abs/2205.09569},
    arxivId = {2205.09569}
}

@article{lottridge2023psychometric,
    title = {{Psychometric considerations when using deep learning for automated scoring}},
    year = {2023},
    journal = {Advancing Natural Language Processing in Educational Assessment},
    author = {Lottridge, Susan and Ormerod, Chris and Jafari, Amir},
    pages = {15},
    publisher = {Routledge}
}

@article{Han,
    title = {{PTR: Prompt Tuning with Rules for Text Classification}},
    author = {Han, Xu and Zhao, Weilin and Ding, Ning and Liu, Zhiyuan and Sun, Maosong},
    arxivId = {arXiv:2105.11259v3}
}

@article{Talukder2021,
    title = {{Public support for deliberative democracy. A specific look at the attitudes of citizens from disadvantaged groups}},
    year = {2021},
    journal = {Innovation: The European Journal of Social Science Research},
    author = {Talukder, David and Pilet, Jean Benoit},
    number = {5},
    pages = {656--676},
    volume = {34},
    url = {https://doi.org/10.1080/13511610.2021.1978284},
    doi = {10.1080/13511610.2021.1978284},
    issn = {14698412},
    keywords = {Deliberative democracy, deliberation, democracy, democratic reforms, disadvantaged groups, representation}
}

@article{Kempeneers2019,
    title = {{Pyjeo: A python package for the analysis of geospatial data}},
    year = {2019},
    journal = {ISPRS International Journal of Geo-Information},
    author = {Kempeneers, Pieter and Pesek, Ondrej and De Marchi, Davide and Soille, Pierre},
    number = {10},
    pages = {1--14},
    volume = {8},
    doi = {10.3390/ijgi8100461},
    issn = {22209964},
    keywords = {Geospatial data, Image processing, Open-source software}
}

@misc{pyrovision2019,
    title = {{Pyrovision: wildfire early detection}},
    year = {2019},
    author = {Contributors, Pyronear},
    publisher = {Github},
    url = {https://github.com/pyronear/pyro-vision}
}

@article{Lv2023,
    title = {{pyShore: A deep learning toolkit for shoreline structure mapping with high-resolution orthographic imagery and convolutional neural networks}},
    year = {2023},
    journal = {Computers and Geosciences},
    author = {Lv, Zhonghui and Nunez, Karinna and Brewer, Ethan and Runfola, Dan},
    number = {September 2022},
    volume = {171},
    publisher = {Elsevier Ltd},
    doi = {10.1016/j.cageo.2022.105296},
    issn = {00983004},
    keywords = {Coastal management, Deep learning, Remote sensing, Semantic segmentation}
}

@article{EleutherAI2023,
    title = {{Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling — EleutherAI}},
    year = {2023},
    author = {{eleutherAI}},
    url = {https://www.eleuther.ai/papers-blog/pythia-a-suite-for-analyzing-large-language-modelsacross-training-and-scaling},
    arxivId = {arXiv:2304.01373v1}
}

@article{Paszke2019,
    title = {{PyTorch: An imperative style, high-performance deep learning library}},
    year = {2019},
    journal = {Advances in Neural Information Processing Systems},
    author = {Paszke, Adam and Gross, Sam and Massa, Francisco and Lerer, Adam and Bradbury, James and Chanan, Gregory and Killeen, Trevor and Lin, Zeming and Gimelshein, Natalia and Antiga, Luca and Desmaison, Alban and K{\"{o}}pf, Andreas and Yang, Edward and DeVito, Zach and Raison, Martin and Tejani, Alykhan and Chilamkurthy, Sasank and Steiner, Benoit and Fang, Lu and Bai, Junjie and Chintala, Soumith},
    number = {NeurIPS},
    volume = {32},
    issn = {10495258},
    arxivId = {1912.01703}
}

@article{Yu2018,
    title = {{QaNet: Combining local convolution with global self-attention for reading comprehension}},
    year = {2018},
    journal = {6th International Conference on Learning Representations, ICLR 2018 - Conference Track Proceedings},
    author = {Yu, Adams Wei and Dohan, David and Luong, Minh Thang and Zhao, Rui and Chen, Kai and Norouzi, Mohammad and Le, Quoc V.},
    number = {1},
    pages = {1--16},
    arxivId = {1804.09541}
}

@article{Choi2018e,
    title = {{QUAC: Question answering in context}},
    year = {2018},
    journal = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018},
    author = {Choi, Eunsol and He, He and Iyyer, Mohit and Yatskar, Mark and Yih, Wen Tau and Choi, Yejin and Liang, Percy and Zettlemoyer, Luke},
    pages = {2174--2184},
    isbn = {9781948087841},
    doi = {10.18653/v1/d18-1241},
    arxivId = {1808.07036}
}

@article{Liang2023f,
    title = {{Quantifying {\&} Modeling Multimodal Interactions: An Information Decomposition Framework}},
    year = {2023},
    journal = {Advances in Neural Information Processing Systems},
    author = {Liang, Paul Pu and Cheng, Yun and Fan, Xiang and Ling, Chun Kai and Nie, Suzanne and Chen, Richard J. and Deng, Zihao and Allen, Nicholas and Auerbach, Randy and Mahmood, Faisal and Salakhutdinov, Ruslan and Morency, Louis Philippe},
    number = {NeurIPS},
    pages = {1--43},
    volume = {36},
    issn = {10495258},
    arxivId = {2302.12247}
}

@article{Abnar2020,
    title = {{Quantifying Attention Flow in Transformers}},
    year = {2020},
    journal = {arXiv},
    author = {Abnar, Samira and Zuidema, Willem},
    doi = {10.18653/v1/2020.acl-main.385},
    arxivId = {2005.00928}
}

@article{Czarnowska2021,
    title = {{Quantifying social biases in nlp: A generalization and empirical comparison of extrinsic fairness metrics}},
    year = {2021},
    journal = {Transactions of the Association for Computational Linguistics},
    author = {Czarnowska, Paula and Vyas, Yogarshi and Shah, Kashif},
    pages = {1249--1267},
    volume = {9},
    doi = {10.1162/tacl{\_}a{\_}00425},
    issn = {2307387X},
    arxivId = {2106.14574}
}

@article{Seshadri2022,
    title = {{Quantifying Social Biases Using Templates is Unreliable}},
    year = {2022},
    author = {Seshadri, Preethi and Pezeshkpour, Pouya and Singh, Sameer},
    number = {Tsrml},
    url = {http://arxiv.org/abs/2210.04337},
    arxivId = {2210.04337}
}

@article{Hirota2022,
    title = {{Quantifying Societal Bias Amplification in Image Captioning}},
    year = {2022},
    journal = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
    author = {Hirota, Yusuke and Nakashima, Yuta and Garcia, Noa},
    pages = {13440--13449},
    volume = {2022-June},
    isbn = {9781665469463},
    doi = {10.1109/CVPR52688.2022.01309},
    issn = {10636919},
    keywords = {Transparency, Vision + language, accountability, fairness, privacy and ethics in vision}
}

@article{Hu2024,
    title = {{Quantifying the Persona Effect in LLM Simulations}},
    year = {2024},
    author = {Hu, Tiancheng and Collier, Nigel},
    number = {Section 4},
    url = {http://arxiv.org/abs/2402.10811},
    arxivId = {2402.10811}
}

@article{Chen2023f,
    title = {{Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness}},
    year = {2023},
    author = {Chen, Jiuhai and Mueller, Jonas},
    pages = {1--14},
    url = {http://arxiv.org/abs/2308.16175},
    isbn = {9798891760943},
    issn = {0736587X},
    arxivId = {2308.16175}
}

@inproceedings{Liang,
    title = {{Querying as Prompt: Parameter-Efficient Learning for Multimodal Language Model}},
    year = {2024},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern RecognitionProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
    author = {Liang, Tian and Huang, Jing and Kong, Ming and Chen, Luyuan and Zhu, Qiang},
    pages = {26855--26865},
    volume = {1},
    url = {https://github.com/Rainlt/QaP.}
}

@article{Radhakrishnan2023,
    title = {{Question Decomposition Improves the Faithfulness of Model-Generated Reasoning}},
    year = {2023},
    author = {Radhakrishnan, Ansh and Nguyen, Karina and Chen, Anna and Chen, Carol and Denison, Carson and Hernandez, Danny and Durmus, Esin and Hubinger, Evan and Kernion, Jackson and Luko{\v{s}}i{\={u}}t{\.{e}}, Kamilė and Cheng, Newton and Joseph, Nicholas and Schiefer, Nicholas and Rausch, Oliver and McCandlish, Sam and Showk, Sheer El and Lanham, Tamera and Maxwell, Tim and Chandrasekaran, Venkatesa and Hatfield-Dodds, Zac and Kaplan, Jared and Brauner, Jan and Bowman, Samuel R. and Perez, Ethan},
    url = {http://arxiv.org/abs/2307.11768},
    arxivId = {2307.11768}
}

@article{Nakamura2020a,
    title = {{r/Fakeddit: A new multimodal benchmark dataset for fine-grained fake news detection}},
    year = {2020},
    journal = {LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings},
    author = {Nakamura, Kai and Levy, Sharon and Wang, William Yang},
    number = {May},
    pages = {6149--6157},
    isbn = {9791095546344},
    arxivId = {1911.03854},
    keywords = {Fake news, Machine learning, Multimodal}
}

@article{Acl-ijcnlp2021,
    title = {{R3F-EZ : Easy Regularized Fine-Tuning on Dialogue Models}},
    year = {2021},
    author = {Acl-ijcnlp, Anonymous},
    pages = {1--11}
}

@article{Emnlp2020c,
    title = {{Randomized Deep Structured Prediction for Argumentation Mining}},
    year = {2020},
    author = {Emnlp, Anonymous},
    pages = {1--10}
}

@article{Imran2020a,
    title = {{Rapid Damage Assessment Using Social Media Images by Combining Human and Machine Intelligence}},
    year = {2020},
    journal = {Proceedings of the International ISCRAM Conference},
    author = {Imran, Muhammad and Alam, Firoj and Qazi, Umair and Peterson, Steve and Ofli, Ferda},
    number = {May},
    url = {http://arxiv.org/abs/2004.06675},
    arxivId = {2004.06675},
    keywords = {artificial intelligence, damage assessment, image processing, social media}
}

@article{Yao2023,
    title = {{React: Synergizing Reasoning and Acting in Language Models}},
    year = {2023},
    journal = {11th International Conference on Learning Representations, ICLR 2023},
    author = {Yao, Shunyu and Zhao, Jeffrey and Yu, Dian and Du, Nan and Shafran, Izhak and Narasimhan, Karthik and Cao, Yuan},
    pages = {1--33},
    arxivId = {2210.03629}
}

@article{Mishra2020,
    title = {{Reading Comprehension as Natural Language Inference: A Semantic Analysis}},
    year = {2020},
    author = {Mishra, Anshuman and Patel, Dhruvesh and Vijayakumar, Aparna and Li, Xiang and Kapanipathi, Pavan and Talamadupula, Kartik},
    url = {http://arxiv.org/abs/2010.01713},
    arxivId = {2010.01713}
}

@article{Foggia2015TCS,
    title = {{Real-Time Fire Detection for Video-Surveillance Applications Using a Combination of Experts Based on Color, Shape, and Motion}},
    year = {2015},
    journal = {IEEE Transactions on Circuits and Systems for Video Technology},
    author = {Foggia, Pasquale and Saggese, Alessia and Vento, Mario},
    number = {9},
    pages = {1545--1556},
    volume = {25},
    doi = {10.1109/TCSVT.2015.2392531}
}

@article{Reis2023,
    title = {{Real-Time Flying Object Detection with YOLOv8}},
    year = {2023},
    author = {Reis, Dillon and Kupec, Jordan and Hong, Jacqueline and Daoudi, Ahmad},
    url = {http://arxiv.org/abs/2305.09972},
    arxivId = {2305.09972}
}

@article{Harjoko2022,
    title = {{Real-Time Forest Fire Detection Framework Based on Artificial Intelligence Using Color Probability Model and Motion Feature Analysis}},
    year = {2022},
    author = {Harjoko, Agus and Dharmawan, Andi and Adhinata, Faisal Dharma and Kosala, Gamma}
}

@article{Jeong2023,
    title = {{Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement}},
    year = {2023},
    journal = {EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Jeong, Soyeong and Baek, Jinheon and Hwang, Sung Ju and Park, Jong C.},
    pages = {477--490},
    isbn = {9781959429449},
    doi = {10.18653/v1/2023.eacl-main.35},
    arxivId = {2302.05137}
}

@article{Li2023d,
    title = {{Recent Advances in Intelligent Processing of Satellite Video : Challenges , Methods , and Applications}},
    year = {2023},
    journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
    author = {Li, Shengyang and Sun, Xian and Member, Senior and Gu, Yanfeng and Member, Senior and Lv, Yixuan},
    pages = {6776--6798},
    volume = {16},
    publisher = {IEEE},
    doi = {10.1109/JSTARS.2023.3296451}
}

@article{Marin2019recipe,
    title = {{Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images}},
    year = {2019},
    journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
    author = {Marin, Javier and Biswas, Aritro and Ofli, Ferda and Hynes, Nicholas and Salvador, Amaia and Aytar, Yusuf and Weber, Ingmar and Torralba, Antonio},
    number = {1},
    pages = {187--203},
    volume = {43},
    doi = {10.1109/TPAMI.2019.2927476},
    issn = {19393539},
    arxivId = {1810.06553},
    keywords = {Cross-modal, cooking recipes, deep learning, food images}
}

@article{Karayev2014,
    title = {{Recognizing image style}},
    year = {2014},
    journal = {BMVC 2014 - Proceedings of the British Machine Vision Conference 2014},
    author = {Karayev, Sergey and Trentacoste, Matthew and Han, Helen and Agarwala, Aseem and Darrell, Trevor and Hertzmann, Aaron and Winnemoeller, Holger},
    pages = {1--20},
    doi = {10.5244/c.28.122},
    arxivId = {1311.3715}
}

@inproceedings{Somasundaran2010ideo,
    title = {{Recognizing Stances in Ideological On-Line Debates}},
    year = {2010},
    booktitle = {NAACL Workshop},
    author = {Somasundaran, Swapna and Wiebe, Janyce}
}

@article{Somasundaran2009b,
    title = {{Recognizing stances in online debates}},
    year = {2009},
    journal = {ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.},
    author = {Somasundaran, Swapna and Wiebe, Janyce},
    pages = {226--234},
    isbn = {9781617382581},
    doi = {10.3115/1687878.1687912}
}

@article{Waller2023a,
    title = {{Recommendations for Bias Mitigation Methods: Applicability and Legality}},
    year = {2023},
    journal = {CEUR Workshop Proceedings},
    author = {Waller, Madeleine and Rodrigues, Odinaldo and Cocarascu, Oana},
    volume = {3523},
    issn = {16130073},
    keywords = {bias mitigation, fairness, machine learning, regulation}
}

@article{Socher2013,
    title = {{Recursive deep models for semantic compositionality over a sentiment treebank}},
    year = {2013},
    journal = {EMNLP-2013: Conference on Empirical Methods in Natural Language Processing},
    author = {Socher, Richard and Perelygin, Alex and Wu, Jy},
    pages = {1631--1642},
    url = {http://nlp.stanford.edu/~socherr/EMNLP2013_RNTN.pdf%5Cnhttp://www.aclweb.org/anthology/D13-1170%5Cnhttp://aclweb.org/supplementals/D/D13/D13-1170.Attachment.pdf%5Cnhttp://oldsite.aclweb.org/anthology-new/D/D13/D13-1170.pdf},
    isbn = {9781937284978},
    doi = {10.1371/journal.pone.0073791},
    issn = {1932-6203},
    pmid = {24086296},
    arxivId = {1512.03385}
}

@inproceedings{Barikeri2021,
    title = {{REDDITBIAS: A real-world resource for bias evaluation and debiasing of conversational language models}},
    year = {2021},
    booktitle = {ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference},
    author = {Barikeri, Soumya and Lauscher, Anne and Vulic, Ivan and Glava{\v{s}}, Goran},
    pages = {1941--1955},
    isbn = {9781954085527},
    doi = {10.18653/v1/2021.acl-long.151},
    arxivId = {2106.03521}
}

@inproceedings{Weber2024,
    title = {{RedPajama: an Open Dataset for Training Large Language Models}},
    year = {2024},
    booktitle = {NeurIPS},
    author = {Weber, Maurice and Fu, Daniel Y and Anthony, Quentin and Oren, Yonatan and Adams, Shane and Alexandrov, Anton and Lyu, Xiaozhong and Nguyen, Huu and Yao, Xiaozhe and Adams, Virginia and Athiwaratkun, Ben and Chalamala, Rahul and Chen, Kezhen and Ryabinin, Max and Dao, Tri and Liang, Percy and R{\'{e}}, Christopher and Rish, Irina and Zhang, Ce},
    pages = {1--31},
    url = {https://github.com/togethercomputer/RedPajama-Data}
}

@article{Zesch2015,
    title = {{Reducing annotation efforts in supervised short answer scoring}},
    year = {2015},
    journal = {10th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2015 at the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2015},
    author = {Zesch, Torsten and Heilman, Michael and Cahill, Aoife},
    pages = {124--132},
    isbn = {9781941643358},
    doi = {10.3115/v1/w15-0615}
}

@article{Weegar2024,
    title = {{Reducing Workload in Short Answer Grading Using Machine Learning}},
    year = {2024},
    journal = {International Journal of Artificial Intelligence in Education},
    author = {Weegar, Rebecka and Idestam-almquist, Peter},
    number = {2},
    pages = {247--273},
    volume = {34},
    publisher = {Springer New York},
    url = {https://doi.org/10.1007/s40593-022-00322-1},
    isbn = {0123456789},
    doi = {10.1007/s40593-022-00322-1},
    issn = {1560-4306},
    keywords = {Automatic grading, Cluster based sampling, Machine learning, Short answer grading, automatic grading, cluster, machine learning, short answer grading}
}

@article{Shinn2023,
    title = {{Reflexion: Language Agents with Verbal Reinforcement Learning}},
    year = {2023},
    journal = {Advances in Neural Information Processing Systems},
    author = {Shinn, Noah and Cassano, Federico and Gopinath, Ashwin and Narasimhan, Karthik and Yao, Shunyu},
    number = {NeurIPS},
    volume = {36},
    issn = {10495258},
    arxivId = {2303.11366}
}

@article{Chen2020b,
    title = {{Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis}},
    year = {2020},
    author = {Chen, Zhuang and Qian, Tieyun},
    pages = {3685--3694},
    doi = {10.18653/v1/2020.acl-main.340}
}

@article{Begue2018b,
    title = {{Remote sensing and cropping practices: A review}},
    year = {2018},
    journal = {Remote Sensing},
    author = {B{\'{e}}gu{\'{e}}, Agnès and Arvor, Damien and Bellon, Beatriz and Betbeder, Julie and de Abelleyra, Diego and Ferraz, Rodrigo P.D. and Lebourgeois, Valentine and Lelong, Camille and Simões, Margareth and Ver{\'{o}}n, Santiago R.},
    number = {1},
    pages = {1--32},
    volume = {10},
    doi = {10.3390/rs10010099},
    issn = {20724292},
    keywords = {Agroforestry, Crop succession, Cropping pattern, Cropping system, Fallow, Harvest, Intercropping, Irrigation, Multiple cropping, Rotation, Soil tillage}
}

@article{Weiss2020,
    title = {{Remote sensing for agricultural applications: A meta-review}},
    year = {2020},
    journal = {Remote Sensing of Environment},
    author = {Weiss, M. and Jacob, F. and Duveiller, G.},
    pages = {1--69},
    volume = {236},
    doi = {10.1016/j.rse.2019.111402},
    issn = {00344257},
    keywords = {Agriculture, Assimilation, Crop, Deep learning, Ecosystem services, Inversion, Land cover, Land use, Machine learning, Phenotyping, Precision farming, Radiative transfer model, Remote sensing, Review, Traits, Yield}
}

@inproceedings{Gat2020,
    title = {{Removing bias in multi-modal classifiers: Regularization by maximizing functional entropies}},
    year = {2020},
    booktitle = {Advances in Neural Information Processing Systems},
    author = {Gat, Itai and Schwartz, Idan and Schwing, Alexander and Hazan, Tamir},
    number = {NeurIPS},
    volume = {2020-Decem},
    issn = {10495258},
    arxivId = {2010.10802}
}

@inproceedings{Nikolaev2023,
    title = {{Representation biases in sentence transformers}},
    year = {2023},
    booktitle = {EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Nikolaev, Dmitry and Pad{\'{o}}, Sebastian},
    pages = {3683--3698},
    isbn = {9781959429449},
    arxivId = {2301.13039}
}

@article{Chowdhury2022,
    title = {{RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment}},
    year = {2022},
    author = {Chowdhury, Tashnim and Murphy, Robin and Rahnemoonfar, Maryam},
    number = {8},
    pages = {1--9},
    volume = {14},
    url = {http://arxiv.org/abs/2202.12361},
    arxivId = {2202.12361}
}

@article{Mizumoto2023,
    title = {{Research Methods in Applied Linguistics Exploring the potential of using an AI language model for automated essay scoring}},
    year = {2023},
    journal = {Research Methods in Applied Linguistics},
    author = {Mizumoto, Atsushi and Eguchi, Masaki},
    number = {2},
    pages = {100050},
    volume = {2},
    publisher = {Elsevier Ltd},
    url = {https://doi.org/10.1016/j.rmal.2023.100050},
    doi = {10.1016/j.rmal.2023.100050},
    issn = {2772-7661},
    keywords = {"Automated essay scoring (AES)", "GPT (Generative Pre-trained Transformer)", "Linguistic features", "Natural language processing (NLP)", "Transformer-based large language models", aes, automated essay scoring, natural language processing, nlp, transformer-based large language models}
}

@article{Russell2015,
    title = {{Research priorities for robust and beneficial artificial intelligence}},
    year = {2015},
    journal = {AI Magazine},
    author = {Russell, Stuart and Dewey, Daniel and Tegmark, Max},
    number = {4},
    pages = {105--114},
    volume = {36},
    doi = {10.1609/aimag.v36i4.2577},
    issn = {07384602},
    arxivId = {1602.03506}
}

@inproceedings{Kerner2020,
    title = {{Resilient In-Season Crop Type Classification in Multispectral Satellite Observations using Growth Stage Normalization}},
    year = {2020},
    booktitle = {ACM SIGKDD Conference on Data Mining and Knowledge Discovery (KDD) Workshops},
    author = {Kerner, Hannah and Sahajpal, Ritvik and Skakun, Sergii and Becker-Reshef, Inbal and Barker, Brian and Hosseini, Mehdi and Puricelli, Estefania and Gray, Patrick},
    url = {http://arxiv.org/abs/2009.10189},
    arxivId = {2009.10189},
    keywords = {acm reference format, agriculture, brian, climate change, deep learning, domain shift, hannah kerner, inbal becker-reshef, ritvik sahajpal, sergii skakun}
}

@article{Balahur2014,
    title = {{Resource creation and evaluation for multilingual sentiment analysis in social media texts}},
    year = {2014},
    journal = {Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014},
    author = {Balahur, Alexandra and Turchi, Marco and Steinberger, Ralf and Perea-Ortega, Jose Manuel and Jacquet, Guillaume and K{\"{u}}{\c{c}}{\"{u}}k, Dilek and Zavarella, Vanni and El Ghali, Adil},
    pages = {4265--4269},
    isbn = {9782951740884},
    keywords = {Machine translation, Mixed language classifiers, Multilingual sentiment analysis, Sentiment analysis}
}

@article{Freitag2021,
    title = {{Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain}},
    year = {2021},
    journal = {Oracle Digital Assistant},
    author = {Freitag, Markus and Rei, Ricardo and Mathur, Nitika and Lo, Chi-Kiu and Stewart, Craig and Foster, George and Lavie, Alon and Bojar, Ondřej},
    number = {7},
    pages = {733--774},
    url = {https://aclanthology.org/2021.wmt-1.73}
}

@article{Diakogiannis2020,
    title = {{ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data}},
    year = {2020},
    journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
    author = {Diakogiannis, Foivos I. and Waldner, François and Caccetta, Peter and Wu, Chen},
    pages = {94--114},
    volume = {162},
    doi = {10.1016/j.isprsjprs.2020.01.013},
    issn = {09242716},
    arxivId = {1904.00592},
    keywords = {Architecture, Convolutional neural network, Data augmentation, Loss function, Very high spatial resolution}
}

@article{Kalia2023LandslideStudy,
    title = {{Landslide activity detection based on Sentinel ‑ 1 PSI datasets of the Ground Motion Service Germany — the Trittenheim case study}},
    year = {2023},
    journal = {Landslides},
    author = {Kalia, Andre Cahyadi},
    number = {May 2022},
    pages = {209--221},
    publisher = {Springer Berlin Heidelberg},
    url = {https://doi.org/10.1007/s10346-022-01958-9},
    doi = {10.1007/s10346-022-01958-9},
    issn = {1612-5118},
    keywords = {Ground Motion Service Germany, Landslides, Persistent scatterer interferometry, Sentinel-1, ground motion service germany, landslides, persistent scatterer interferometry, sentinel-1}
}

@article{Minaee2024LargeSurvey,
    title = {{Large Language Models: A Survey}},
    year = {2024},
    author = {Minaee, Shervin and Mikolov, Tomas and Nikzad, Narjes and Chenaghlu, Meysam and Socher, Richard and Amatriain, Xavier and Gao, Jianfeng},
    url = {http://arxiv.org/abs/2402.06196},
    arxivId = {2402.06196}
}

@misc{Latam-gptHuggingface.co,
    title = {{latam-gpt @ huggingface.co}},
    url = {https://huggingface.co/latam-gpt}
}

@article{Bergam2022LegalLanguage,
    title = {{Legal and Political Stance Detection of SCOTUS Language}},
    year = {2022},
    author = {Bergam, Noah and Allaway, Emily and Mckeown, Kathleen},
    arxivId = {arXiv:2211.11724v1}
}

@article{NavenLeveragingDetection,
    title = {{Leveraging Shared and Divergent Facial Expression Behavior Between Genders in Deception Detection}},
    author = {Naven, Gazi and Sen, Taylan and Gerstner, Luke and Haut, Kurtis and Wen, Melissa and Hoque, Ehsan and States, United}
}

@inproceedings{Sosea2022LeveragingClassification,
    title = {{Leveraging Training Dynamics and Self-Training for Text Classification}},
    year = {2022},
    booktitle = {EMNLP},
    author = {Sosea, Tiberiu and Caragea, Cornelia},
    pages = {4779--4791}
}

@article{ListArticles,
    title = {{List of time-series articles}}
}

@article{Haut2019LIWCCommunication,
    title = {{LIWC into the Eyes : Using Facial Features to Contextualize Linguistic Analysis in Multimodal Communication}},
    year = {2019},
    author = {Haut, Kurtis Glenn},
    isbn = {9781728138886}
}

@misc{Li2023MachineFuture,
    title = {{Machine Learning Developments and Applications in Solid-Earth Geosciences: Fad or Future?}},
    year = {2023},
    booktitle = {Journal of Geophysical Research: Solid Earth},
    author = {Li, Yunyue Elita and O’Malley, Daniel and Beroza, Greg and Curtis, Andrew and Johnson, Paul},
    number = {1},
    pages = {1--7},
    volume = {128},
    doi = {10.1029/2022JB026310},
    issn = {21699356}
}

@article{Paudel2021MachineForecasting,
    title = {{Machine learning for large-scale crop yield forecasting}},
    year = {2021},
    journal = {Agricultural Systems},
    author = {Paudel, Dilli and Boogaard, Hendrik and Wit, Allard De and Janssen, Sander and Osinga, Sjoukje and Pylianidis, Christos and Athanasiadis, Ioannis N},
    number = {October 2020},
    pages = {103016},
    volume = {187},
    publisher = {Elsevier Ltd},
    url = {https://doi.org/10.1016/j.agsy.2020.103016},
    doi = {10.1016/j.agsy.2020.103016},
    issn = {0308-521X},
    keywords = {Crop yield prediction,Machine learning,Modularity,, crop yield prediction}
}

@article{Jacobs2021MeasurementFairness,
    title = {{Measurement and Fairness}},
    year = {2021},
    author = {Jacobs, Abigail Z and Wallach, Hanna},
    pages = {1--24},
    arxivId = {arXiv:1912.05511v1}
}

@article{Pauli2024MeasuringLanguage,
    title = {{Measuring and Benchmarking Large Language Models’ Capabilities to Generate Persuasive Language}},
    year = {2024},
    author = {Pauli, Amalie Brogaard and Augenstein, Isabelle and Assent, Ira},
    arxivId = {arXiv:2406.17753v1}
}

@inproceedings{Gupta2022MeasuringSensitivity,
    title = {{Measuring Fairness of Text Classifiers via Prediction Sensitivity}},
    year = {2022},
    author = {Gupta, Rahul and Krishna, Satyapriya and Dhamala, Jwala and Pruksachatkun, Yada and Verma, Apurv and Chang, Kai-wei and Alexa, Amazon},
    arxivId = {arXiv:2203.08670v1}
}

@article{Bang2002MitigatingLoss,
    title = {{Mitigating Framing Bias with Polarity Minimization Loss}},
    year = {2002},
    author = {Bang, Yejin and Lee, Nayeon and Fung, Pascale},
    arxivId = {arXiv:2311.01817v1}
}

@article{Rodrigo2022ModelSettings,
    title = {{Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings}},
    year = {2022},
    author = {Rodrigo, Iker García-ferrero and German, Agerri},
    pages = {6432--6445}
}

@article{YangModelingConversation,
    title = {{Modeling Empathetic Alignment in Conversation}},
    author = {Yang, Jiamin and Jurgens, David},
    arxivId = {arXiv:2405.00948v1}
}

@article{Futeral2022MOSCARCorpus,
    title = {{mOSCAR : A Large-scale Multilingual and Multimodal Document-level Corpus}},
    year = {2022},
    author = {Futeral, Matthieu and Zebaze, Armel and Schmid, Cordelia and Suarez, Pedro Ortiz and Bawden, Rachel and Lacroix, Rémi},
    pages = {1--29},
    arxivId = {arXiv:2406.08707v1}
}

@article{Bai2023MT-Bench-101:Dialogues,
    title = {{MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues}},
    year = {2023},
    author = {Bai, Ge and Liu, Jie and Bu, Xingyuan and He, Yancheng and Liu, Jiaheng and Zhou, Zhanhui and Lin, Zhuoran and Su, Wenbo and Ge, Tiezheng and Zheng, Bo and Ouyang, Wanli},
    arxivId = {arXiv:2402.14762v1}
}

@article{Liang2021MultiBench:Learning,
    title = {{MultiBench: Multiscale Benchmarks for Multimodal Representation Learning}},
    year = {2021},
    author = {Liang, Paul Pu and Lyu, Yiwei and Fan, Xiang and Wu, Zetian and Cheng, Yun and Wu, Jason and Chen, Leslie and Wu, Peter and Lee, Michelle A and Zhu, Yuke and Salakhutdinov, Ruslan and Morency, Louis-philippe},
    number = {ML},
    pages = {1--20},
    url = {http://arxiv.org/abs/2107.07502},
    arxivId = {2107.07502}
}

@article{LeeMultimodalSlides,
    title = {{Multimodal Lecture Presentations Dataset : Understanding Multimodality in Educational Slides}},
    author = {Lee, Dong Won and Ahuja, Chaitanya and Liang, Paul Pu and Natu, Sanika and Morency, Louis-philippe},
    arxivId = {arXiv:2208.08080v1}
}

@article{Ramos2024MultispectralOverview,
    title = {{Multispectral Semantic Segmentation for Land Cover Classification : An Overview}},
    year = {2024},
    journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
    author = {Ramos, Leo Thomas and Sappa, Angel D and Member, Senior},
    pages = {14295--14336},
    volume = {17},
    publisher = {IEEE},
    doi = {10.1109/JSTARS.2024.3438620}
}

@article{Acquisition2023NoGroups,
    title = {{No Culture Left Behind: Massively Multi-Cultural Knowledge Acquisition {\&} LM Benchmarking on 1000 + Sub-Country Regions and 2000 + Ethnolinguistic Groups}},
    year = {2023},
    author = {Acquisition, Massively Multi-cultural Knowledge and Benchmarking, L M},
    arxivId = {arXiv:2402.09369v1}
}

@article{Gutmann2009Noise-contrastiveModels,
    title = {{Noise-contrastive estimation : A new estimation principle for unnormalized statistical models}},
    year = {2009},
    author = {Gutmann, Michael and Hyv{\"{a}}rinen, Aapo},
    pages = {297--304}
}

@article{Acl2021OnProcessing,
    title = {{On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing}},
    year = {2021},
    author = {Acl, Anonymous}
}

@article{Big2023OnToday,
    title = {{On the Outcomes of Scientific Disagreements on Machine Morality opics to discuss today}},
    year = {2023},
    author = {Big, The and Workshop, Picture}
}

@article{Gomez-DeLaPenaOnChange,
    title = {{On the use of Convolutional Deep Learning to predict shoreline change}},
    author = {Gomez-De La Pe{\~{n}}a, Eduardo and Coco, Giovanni and Whittaker, Colin and Monta{\~{n}}o, Jennifer},
    url = {https://doi.org/10.5194/egusphere-2023-958},
    doi = {10.5194/egusphere-2023-958}
}

@article{Xiong2024OneVision,
    title = {{One for All: Toward Unified Foundation Models for Earth Vision}},
    year = {2024},
    author = {Xiong, Zhitong and Wang, Yi and Zhang, Fahong and Zhu, Xiao Xiang},
    number = {iii},
    pages = {2--6},
    volume = {2},
    url = {http://arxiv.org/abs/2401.07527},
    arxivId = {2401.07527}
}

@article{Wiegmann2021OpportunitiesInformation,
    title = {{Opportunities and Risks of Disaster Data from Social Media : A Systematic Opportunities and Risks of Disaster Data from Social Media : A Systematic Review of Incident Information}},
    year = {2021},
    author = {Wiegmann, Matti and Kersten, Jens and Senaratne, Hansi and Potthast, Martin and Klan, Friederike},
    number = {February}
}

@article{JawaharOrcaGPT-4,
    title = {{Orca : Progressive Learning from Complex Explanation Traces of GPT-4}},
    author = {Jawahar, Ganesh and Agarwal, Sahaj and Palangi, Hamid and Awadallah, Ahmed},
    arxivId = {arXiv:2306.02707v1}
}

@article{KutcharttPan-EuropeanAssessment,
    title = {{Pan-European fuel map server : an open-geodata portal for supporting fire risk assessment}},
    author = {Kutchartt, Erico and Garcia-, Jordi and Trasobares, Antoni and Botequim, Brigite and Hauglin, Marius and Vassilev, Vassil and Cardil, Adrian and Pirotti, Francesco and Morunys, De and Resources, Forest and Management, Natural Environment},
    pages = {1--18}
}

@article{Ge2023PlantingModel,
    title = {{Planting a SEED of Vision in Large Language Model}},
    year = {2023},
    author = {Ge, Yuying and Ge, Yixiao and Zeng, Ziyun and Wang, Xintao and Shan, Ying},
    pages = {1--10},
    url = {http://arxiv.org/abs/2307.08041},
    arxivId = {2307.08041}
}

@inproceedings{Chi2023PLUEEnglish,
    title = {{PLUE : Language Understanding Evaluation Benchmark for Privacy Policies in English}},
    year = {2023},
    booktitle = {ACL},
    author = {Chi, Jianfeng and Uddin, Wasi and Yuan, Ahmad and Chang, Tian Kai-wei},
    number = {1},
    pages = {352--365},
    volume = {2}
}

@inproceedings{Wu2021PolyjuiceModels,
    title = {{Polyjuice : Generating Counterfactuals for Explaining , Evaluating , and Improving Models}},
    year = {2021},
    booktitle = {ACL},
    author = {Wu, Tongshuang and Ribeiro, Marco Tulio and Weld, Daniel S}
}

@article{Jones2022PredictabilityModels,
    title = {{Predictability and Surprise in Large Generative Models}},
    year = {2022},
    journal = {2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT '22), June 21{\^{a}}•ﬁ24, 2022, Seoul, Republic of Korea},
    author = {Jones, Andy and Joseph, Nicholas and Kernion, Jackson and Mann, B E N and Askell, Amanda and Bai, Yuntao and Chen, Anna and Conerly, T O M and Drain, Dawn and Elhage, Nelson and El, Sheer and Fort, Stanislav and Hatfield-dodds, Z A C and Johnston, Scott and Kravec, Shauna and Nanda, Neel and Ndousse, Kamal and Olsson, Catherine and Amodei, Daniela and Brown, T O M and Kaplan, Jared and Mccandlish, S A M and Olah, Chris and Amodei, Dario and Clark, Jack and Oct, C Y},
    number = {1},
    pages = {1--26},
    volume = {1},
    publisher = {Association for Computing Machinery},
    doi = {10.1145/3531146.3533229},
    arxivId = {arXiv:2202.07785v2}
}

@article{Lee2022PredictionEnvironment,
    title = {{Prediction of Long-Term Beach Profile Evolution Due to Episodic Wave Incidence Under Tidal Environment}},
    year = {2022},
    journal = {Frontiers in Marine Science},
    author = {Lee, Sahong and Lim, Changbin and Lee, Jung Lyul},
    month = {4},
    volume = {9},
    publisher = {Frontiers Media S.A.},
    doi = {10.3389/fmars.2022.831262},
    issn = {22967745},
    keywords = {bar migration, beach response, beach scale factor, equilibrium beach profile, numerical model}
}

@article{Chen2024PremiseModels,
    title = {{Premise Order Matters in Reasoning with Large Language Models}},
    year = {2024},
    author = {Chen, Xinyun and Chi, Ryan A and Wang, Xuezhi and Zhou, Denny and Deepmind, Google},
    arxivId = {arXiv:2402.08939v1}
}

@article{Bondarenko2023ProposalRetrieval,
    title = {{Proposal of a CLEF 2023 Lab Touch{\'{e}} : Argument and Causal Retrieval}},
    year = {2023},
    author = {Bondarenko, Alexander and Halle-wittenberg, Matthias Hagen Martin-luther-universität}
}

@article{AclRandomAlways,
    title = {{Random Text Perturbations Work , but not Always}},
    author = {Acl, Anonymous},
    pages = {1--5}
}

@article{Johnson2021RemoteInformation,
    title = {{Remote Sensing of Environment Pre- and within-season crop type classification trained with archival land cover information}},
    year = {2021},
    journal = {Remote Sensing of Environment},
    author = {Johnson, David M and Mueller, Richard},
    number = {May},
    pages = {112576},
    volume = {264},
    publisher = {Elsevier Inc.},
    url = {https://doi.org/10.1016/j.rse.2021.112576},
    doi = {10.1016/j.rse.2021.112576},
    issn = {0034-4257},
    keywords = {Crop,Land cover,Classification,Predictive,Real-tim}
}

@article{Oord2018RepresentationCoding,
    title = {{Representation Learning with Contrastive Predictive Coding}},
    year = {2018},
    author = {Oord, Aaron Van Den and Li, Yazhe and Vinyals, Oriol},
    arxivId = {arXiv:1807.03748v2}
}
@article{Tang2020,
    title = {{Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline}},
    year = {2020},
    author = {Tang, Wensi and Long, Guodong and Liu, Lu and Zhou, Tianyi and Jiang, Jing and Blumenstein, Michael},
    url = {http://arxiv.org/abs/2002.10061},
    arxivId = {2002.10061}
}

@article{Scialom2021,
    title = {{Rethinking Automatic Evaluation in Sentence Simplification}},
    year = {2021},
    author = {Scialom, Thomas and Martin, Louis and Staiano, Jacopo and de la Clergerie, Éric Villemonte and Sagot, Benoît},
    url = {http://arxiv.org/abs/2104.07560},
    arxivId = {2104.07560}
}

@article{Min2022,
    title = {{Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?}},
    year = {2022},
    journal = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022},
    author = {Min, Sewon and Lyu, Xinxi and Holtzman, Ari and Artetxe, Mikel and Lewis, Mike and Hajishirzi, Hannaneh and Zettlemoyer, Luke},
    number = {2},
    pages = {11048--11064},
    arxivId = {2202.12837}
}

@article{Lewis2020,
    title = {{Retrieval-augmented generation for knowledge-intensive NLP tasks}},
    year = {2020},
    journal = {Advances in Neural Information Processing Systems},
    author = {Lewis, Patrick and Perez, Ethan and Piktus, Aleksandra and Petroni, Fabio and Karpukhin, Vladimir and Goyal, Naman and K{\"{u}}ttler, Heinrich and Lewis, Mike and Yih, Wen Tau and Rockt{\"{a}}schel, Tim and Riedel, Sebastian and Kiela, Douwe},
    volume = {2020-Decem},
    issn = {10495258},
    arxivId = {2005.11401}
}

@article{Morio2019,
    title = {{Revealing and predicting online persuasion strategy with elementary units}},
    year = {2019},
    journal = {EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference},
    author = {Morio, Gaku and Egawa, Ryo and Fujita, Katsuhide},
    pages = {6274--6279},
    isbn = {9781950737901},
    doi = {10.18653/v1/d19-1653}
}

@article{Kruspe2020,
    title = {{Review article: Detection of informative tweets in crisis events}},
    year = {2020},
    journal = {Natural Hazards and Earth System Sciences},
    author = {Kruspe, Anna and Kersten, Jens and Klan, Friederike},
    number = {July},
    pages = {1--18},
    doi = {10.5194/nhess-2020-214},
    issn = {1561-8633},
    keywords = {Computer science, Coronavirus disease 2019 (COVID-19), Crowdsourcing, Data science, Flood myth, Personal perspectives, Review article, Social media}
}

@article{Alabdali2019,
    title = {{Revisiting Brown and Levinson's Politeness Theory: A Middle-Eastern Perspective}},
    year = {2019},
    journal = {Bulletin of Advanced English Studies},
    author = {Alabdali, Tahani Saleh},
    number = {2},
    pages = {73--78},
    volume = {2},
    doi = {10.31559/baes2019.2.2.3},
    issn = {26176440},
    keywords = {arabic, brown and levinson, critical review, middle east, politeness, pragmatics}
}

@article{Buch2022,
    title = {{Revisiting the "Video" in Video-Language Understanding}},
    year = {2022},
    author = {Buch, Shyamal and Eyzaguirre, Cristóbal and Gaidon, Adrien and Wu, Jiajun and Fei-Fei, Li and Niebles, Juan Carlos},
    url = {http://arxiv.org/abs/2206.01720},
    arxivId = {2206.01720}
}

@inproceedings{Lee2023a,
    title = {{Revisiting the Importance of Amplifying Bias for Debiasing}},
    year = {2023},
    booktitle = {Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023},
    author = {Lee, Jungsoo and Park, Jeonghoon and Kim, Daeyoung and Lee, Juyoung and Choi, Edward and Choo, Jaegul},
    pages = {14974--14981},
    volume = {37},
    isbn = {9781577358800},
    doi = {10.1609/aaai.v37i12.26748},
    issn = {2159-5399},
    arxivId = {2205.14594},
    keywords = {SRAI: Robust AI Systems: General, SRAI: Robustness Against Distribution Shifts: Gene}
}

@inproceedings{Girshick2014rcnn,
    title = {{Rich feature hierarchies for accurate object detection and semantic segmentation}},
    year = {2014},
    booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
    author = {Girshick, Ross and Donahue, Jeff and Darrell, Trevor and Malik, Jitendra},
    pages = {580--587},
    isbn = {9781479951178},
    doi = {10.1109/CVPR.2014.81},
    issn = {10636919},
    arxivId = {1311.2524}
}

@article{Lai2019,
    title = {{Ridging the domain gap in cross - lingual document classification}},
    year = {2019},
    journal = {rejected at ICLR2020},
    author = {Lai, Guokun and Oguz, Barlas and Yang, Yiming and Stoyanov, Veselin},
    pages = {1--13},
    arxivId = {arXiv:1909.07009v2}
}

@article{McCoy2019,
    title = {{Right for the wrong reasons: Diagnosing syntactic heuristics in natural language inference}},
    year = {2019},
    journal = {arXiv},
    author = {McCoy, R. Thomas and Pavlick, Ellie and Linzen, Tal},
    number = {2},
    pages = {3428--3448},
    issn = {23318422}
}

@inproceedings{Sun2020,
    title = {{RIVA : A Pre-trained Tweet Multimodal Model Based on Text-image Relation for Multimodal NER}},
    year = {2020},
    booktitle = {COLING},
    author = {Sun, Lin and Wang, Jiquan and Su, Yindu and Weng, Fangsheng and Sun, Yuxuan and Zheng, Zengwei and Chen, Yuanyi},
    pages = {1852--1862}
}

@article{Liu2019,
    title = {{RoBERTa: A Robustly Optimized BERT Pretraining Approach}},
    year = {2019},
    author = {Liu, Yinhan and Ott, Myle and Goyal, Naman and Du, Jingfei and Joshi, Mandar and Chen, Danqi and Levy, Omer and Lewis, Mike and Zettlemoyer, Luke and Stoyanov, Veselin},
    number = {1},
    url = {http://arxiv.org/abs/1907.11692},
    arxivId = {1907.11692}
}

@article{Nguyen2017,
    title = {{Robust classification of crisis-related data on social networks using convolutional neural networks}},
    year = {2017},
    journal = {Proceedings of the 11th International Conference on Web and Social Media, ICWSM 2017},
    author = {Nguyen, Dat Tien and Al Mannai, Kamela Ali and Joty, Shafiq and Sajjad, Hassan and Imran, Muhammad and Mitra, Prasenjit},
    pages = {632--635},
    isbn = {9781577357889},
    keywords = {-deep learning, crisis response, neural networks, sification, social media, supervised clas-}
}

@inproceedings{Lin2004Rouge,
    title = {{ROUGE: A Package for Automatic Evaluation of Summaries}},
    year = {2004},
    booktitle = {Text Summarization Branches Out, ACL},
    author = {Lin, Chin-Yew},
    pages = {74–81},
    publisher = {Association for Computational Linguistics},
    doi = {10.1253/jcj.34.1213},
    issn = {00471828},
    pmid = {5537985}
}

@article{Mohammadshahi2023,
    title = {{RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question}},
    year = {2023},
    journal = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Mohammadshahi, Alireza and Scialom, Thomas and Yazdani, Majid and Yanki, Pouya and Fan, Angela and Henderson, James and Saeidi, Marzieh},
    pages = {6845--6867},
    isbn = {9781959429623},
    doi = {10.18653/v1/2023.findings-acl.428},
    issn = {0736587X},
    arxivId = {2211.01482}
}

@article{Hada2021,
    title = {{Ruddit: Norms of Offensiveness for English Reddit Comments}},
    year = {2021},
    author = {Hada, Rishav and Sudhir, Sohi and Mishra, Pushkar and Yannakoudakis, Helen and Mohammad, Saif M. and Shutova, Ekaterina},
    url = {http://arxiv.org/abs/2106.05664},
    arxivId = {2106.05664}
}

@article{Gorrell2018a,
    title = {{RumourEval 2019: Determining rumour veracity and support for rumours}},
    year = {2018},
    journal = {arXiv},
    author = {Gorrell, Genevieve and Bontcheva, Kalina and Derczynski, Leon and Kochkina, Elena and Liakata, Maria and Zubiaga, Arkaitz},
    issn = {23318422},
    arxivId = {1809.06683}
}

@inproceedings{Gorrell2018,
    title = {{RumourEval 2019: Determining rumour veracity and support for rumours}},
    year = {2019},
    booktitle = {SemEval 2019},
    author = {Gorrell, Genevieve and Bontcheva, Kalina and Derczynski, Leon and Kochkina, Elena and Liakata, Maria and Zubiaga, Arkaitz},
    pages = {845--854},
    issn = {23318422},
    arxivId = {1809.06683}
}

@article{Emnlp2020d,
    title = {{S TANDER : An Expert-Annotated Dataset for News Stance Detection and Evidence Retrieval}},
    year = {2020},
    author = {Emnlp, Anonymous},
    pages = {1--11}
}

@article{Hu2021a,
    title = {{Sapaugment: Learning a sample adaptive policy for data augmentation}},
    year = {2021},
    journal = {ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings},
    author = {Hu, Ting Yao and Shrivastava, Ashish and Chang, Jen Hao Rick and Koppula, Hema and Braun, Stefan and Hwang, Kyuyeon and Kalinli, Ozlem and Tuzel, Oncel},
    number = {Figure 1},
    pages = {4040--4044},
    volume = {2021-June},
    doi = {10.1109/ICASSP39728.2021.9413928},
    issn = {15206149},
    arxivId = {2011.01156},
    keywords = {Data augmentation, Sample-adaptive policy, Speech recognition}
}

@article{AlNajar2023,
    title = {{Satellite derived bathymetry using deep learning}},
    year = {2023},
    journal = {Machine Learning},
    author = {Al Najar, Mahmoud and Thoumyre, Grégoire and Bergsma, Erwin W.J. and Almar, Rafael and Benshila, Rachid and Wilson, Dennis G},
    number = {4},
    pages = {1107--1130},
    volume = {112},
    publisher = {Springer US},
    url = {https://doi.org/10.1007/s10994-021-05977-w},
    isbn = {0123456789},
    doi = {10.1007/s10994-021-05977-w},
    issn = {15730565},
    keywords = {Deep learning, Earth observation, Machine learning, Regression, Satellite-derived bathymetry}
}

@inproceedings{SainteFareGarnot2020,
    title = {{Satellite image time series classification with pixel-set encoders and temporal self-attention}},
    year = {2020},
    booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
    author = {Sainte Fare Garnot, V. and Landrieu, Loic and Giordano, S and Chehata, N},
    pages = {12322--12331},
    doi = {10.1109/CVPR42600.2020.01234},
    issn = {10636919},
    arxivId = {1911.07757}
}

@inproceedings{SainteFareGarnot2020b,
    title = {{Satellite image time series classification with pixel-set encoders and temporal self-attention}},
    year = {2020},
    booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
    author = {Sainte Fare Garnot, V. and Landrieu, Loic and Giordano, S and Chehata, N},
    pages = {12322--12331},
    doi = {10.1109/CVPR42600.2020.01234},
    issn = {10636919},
    arxivId = {1911.07757}
}

@article{Hellman2023a,
    title = {{Scalable and Explainable Automated Scoring for Open-Ended Constructed Response Math Word Problems}},
    year = {2023},
    journal = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Hellman, Scott and Andrade, Alejandro and Habermehl, Kyle},
    number = {Bea},
    pages = {137--147},
    isbn = {9781959429807},
    doi = {10.18653/v1/2023.bea-1.12},
    issn = {0736587X}
}

@article{Lialin2023,
    title = {{Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning}},
    year = {2023},
    author = {Lialin, Vladislav and Deshpande, Vijeta and Rumshisky, Anna},
    url = {http://arxiv.org/abs/2303.15647},
    arxivId = {2303.15647}
}

@article{Chung2022,
    title = {{Scaling Instruction-Finetuned Language Models}},
    year = {2024},
    journal = {Journal of Machine Learning Research},
    author = {Chung, Hyung Won and Hou, Le and Longpre, Shayne and Zoph, Barret and Tay, Yi and Fedus, William and Li, Yunxuan and Wang, Xuezhi and Dehghani, Mostafa and Brahma, Siddhartha and Webson, Albert and Gu, Shixiang Shane and Dai, Zhuyun and Suzgun, Mirac and Chen, Xinyun and Chowdhery, Aakanksha and Castro-ros, Alex and Pellat, Marie and Robinson, Kevin and Valter, Dasha and Narang, Sharan and Mishra, Gaurav and Yu, Adams and Zhao, Vincent and Huang, Yanping and Dai, Andrew and Yu, Hongkun and Petrov, Slav and Chi, Ed H and Dean, Jeff and Devlin, Jacob and Robert, Adam and Zhou, Denny and Le, Quoc V and Wei, Jason},
    pages = {1--53},
    volume = {25},
    arxivId = {arXiv:2210.11416v5}
}

@article{Rae2021,
    title = {{Scaling Language Models: Methods, Analysis {\&} Insights from Training Gopher}},
    year = {2021},
    author = {Rae, Jack W and Borgeaud, Sebastian and Cai, Trevor and Millican, Katie and Hoffmann, Jordan and Song, Francis and Aslanides, John and Henderson, Sarah and Ring, Roman and Young, Susannah and Rutherford, Eliza and Hennigan, Tom and Menick, Jacob and Cassirer, Albin and Powell, Richard and Van Den Driessche, George and Hendricks, Lisa Anne and Rauh, Maribeth and Huang, Po-Sen and Glaese, Amelia and Welbl, Johannes and Dathathri, Sumanth and Huang, Saffron and Uesato, Jonathan and Mellor, John and Higgins, Irina and Creswell, Antonia and Mcaleese, Nat and Wu, Amy and Elsen, Erich and Jayakumar, Siddhant and Buchatskaya, Elena and Budden, David and Sutherland, Esme and Simonyan, Karen and Paganini, Michela and Sifre, Laurent and Martens, Lena and Li, Lorraine and Kuncoro, Adhiguna and Nematzadeh, Aida and Gribovskaya, Elena and Donato, Domenic and Lazaridou, Angeliki and Mensch, Arthur and Lespiau, Jean-Baptiste and Tsimpoukelli, Maria and Grigorev, Nikolai and Fritz, Doug and Sottiaux, Thibault and Pajarskas, Mantas and Pohlen, Toby and Gong, Zhitao and Toyama, Daniel and De Masson D'autume, Cyprien and Li, Yujia and Terzi, Tayfun and Mikulik, Vladimir and Babuschkin, Igor and Clark, Aidan and De, Diego and Casas, Las and Guy, Aurelia and Jones, Chris and Bradbury, James and Johnson, Matthew and Hechtman, Blake and Weidinger, Laura and Gabriel, Iason and Isaac, William and Lockhart, Ed and Osindero, Simon and Rimell, Laura and Dyer, Chris and Vinyals, Oriol and Ayoub, Kareem and Stanway, Jeff and Bennett, Lorrayne and Hassabis, Demis and Kavukcuoglu, Koray and Irving, Geoffrey},
    arxivId = {arXiv:2112.11446v1},
    keywords = {Deep Learning, Language Models, Natural Language Processing}
}

@article{Hernandez2022a,
    title = {{Scaling Laws and Interpretability of Learning from Repeated Data}},
    year = {2022},
    author = {Hernandez, Danny and Brown, Tom and Conerly, Tom and DasSarma, Nova and Drain, Dawn and El-Showk, Sheer and Elhage, Nelson and Hatfield-Dodds, Zac and Henighan, Tom and Hume, Tristan and Johnston, Scott and Mann, Ben and Olah, Chris and Olsson, Catherine and Amodei, Dario and Joseph, Nicholas and Kaplan, Jared and McCandlish, Sam},
    pages = {1--23},
    url = {http://arxiv.org/abs/2205.10487},
    arxivId = {2205.10487}
}

@inproceedings{Aghajanyan2023,
    title = {{Scaling Laws for Generative Mixed-Modal Language Models}},
    year = {2023},
    booktitle = {Proceedings of Machine Learning Research},
    author = {Aghajanyan, Armen and Yu, Lili and Conneau, Alexis and Hsu, Wei Ning and Hambardzumyan, Karen and Zhang, Susan and Roller, Stephen and Goyal, Naman and Levy, Omer and Zettlemoyer, Luke},
    pages = {265--279},
    volume = {202},
    issn = {26403498},
    arxivId = {2301.03728}
}

@article{Pratap2024,
    title = {{Scaling Speech Technology to 1,000+ Languages}},
    year = {2024},
    journal = {Journal of Machine Learning Research (JMLR)},
    author = {Pratap, Vineel and Tjandra, Andros and Shi, Bowen and Tomasello, Paden and Babu, Arun and Kundu, Sayani and Elkahky, Ali and Ni, Zhaoheng and Vyas, Apoorv and Fazel-Zarandi, Maryam and Baevski, Alexei and Adi, Yossi and Zhang, Xiaohui and Hsu, Wei-Ning and Conneau, Alexis and Auli, Michael},
    url = {http://arxiv.org/abs/2305.13516},
    arxivId = {2305.13516}
}

@inproceedings{Goldfarb-tarrant2020,
    title = {{Scaling Systematic Literature Reviews with Machine Learning Pipelines}},
    year = {2020},
    booktitle = {First Workshop on Scholarly Document Processing, ACL},
    author = {Goldfarb-tarrant, Seraphina and Robertson, Alexander and Lazic, Jasmina and Tsouloufi, Theodora and Donnison, Louise and Smyth, Karen},
    pages = {184--195}
}

@article{Papadopoulos2021,
    title = {{Scaling up instance annotation via label propagation}},
    year = {2021},
    journal = {Proceedings of the IEEE International Conference on Computer Vision},
    author = {Papadopoulos, Dim P. and Weber, Ethan and Torralba, Antonio},
    pages = {15344--15353},
    isbn = {9781665428125},
    doi = {10.1109/ICCV48922.2021.01508},
    issn = {15505499},
    arxivId = {2110.02277}
}

@inproceedings{Wang2023e,
    title = {{SCIBENCH : Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models}},
    year = {2023},
    booktitle = {MATH-AI: The 3rd Workshop on Mathematical Reasoning and AI @ Neurips},
    author = {Wang, Xiaoxuan and Hu, Ziniu and Lu, Pan and Zhu, Yanqiao and Zhang, Jieyu},
    number = {NeurIPS}
}

@article{Beltagy2019,
    title = {{SCIBERT: A pretrained language model for scientific text}},
    year = {2019},
    journal = {EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference},
    author = {Beltagy, Iz and Lo, Kyle and Cohan, Arman},
    pages = {3615--3620},
    isbn = {9781950737901},
    doi = {10.18653/v1/d19-1371},
    arxivId = {1903.10676}
}

@article{Pedregosa2012,
    title = {{Scikit-learn: Machine Learning in Python}},
    year = {2012},
    journal = {Journal of Machine Learning Research},
    author = {Pedregosa, Fabian and Varoquaux, Gaël and Gramfort, Alexandre and Michel, Vincent and Thirion, Bertrand and Grisel, Olivier and Blondel, Mathieu and Prettenhofer, Peter and Weiss, Ron and Dubourg, Vincent and Vanderplas, Jake and Passos, Alexandre and Cournapeau, David and Brucher, Matthieu and Perrot, Matthieu and Duchesnay, Édouard},
    pages = {2825--2830},
    volume = {12},
    url = {http://dl.acm.org/citation.cfm?id=2078195%5Cnhttp://arxiv.org/abs/1201.0490},
    isbn = {1532-4435},
    doi = {10.1007/s13398-014-0173-7.2},
    issn = {15324435},
    pmid = {1000044560},
    arxivId = {1201.0490}
}

@article{Sampath2022,
    title = {{SeedBERT: Recovering Annotator Rating Distributions from an Aggregated Label}},
    year = {2022},
    author = {Sampath, Aneesha and Lin, Victoria and Morency, Louis-Philippe},
    url = {http://arxiv.org/abs/2211.13196},
    arxivId = {2211.13196}
}

@article{Stoica2020,
    title = {{Seeding Network Influence in Biased Networks and the Benefits of Diversity}},
    year = {2020},
    journal = {The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020},
    author = {Stoica, Ana Andreea and Han, Jessy Xinyi and Chaintreau, Augustin},
    pages = {2089--2098},
    volume = {2},
    isbn = {9781450370233},
    doi = {10.1145/3366423.3380275},
    keywords = {fairness, graph algorithms, influence, social networks}
}

@article{Chen2019b,
    title = {{Seeing things from a different angle: Discovering diverse perspectives about claims}},
    year = {2019},
    journal = {NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference},
    author = {Chen, Sihao and Khashabi, Daniel and Yin, Wenpeng and Callison-Burch, Chris and Roth, Dan},
    pages = {542--557},
    volume = {1},
    isbn = {9781950737130},
    doi = {10.18653/v1/n19-1053},
    arxivId = {1906.03538}
}

@article{Kirillov2023,
    title = {{Segment Anything}},
    year = {2023},
    journal = {ICCV},
    author = {Kirillov, Alexander and Mintun, Eric and Ravi, Nikhila and Mao, Hanzi and Rolland, Chloe and Gustafson, Laura and Xiao, Tete and Whitehead, Spencer and Berg, Alexander C. and Lo, Wan-Yen and Doll{\'{a}}r, Piotr and Girshick, Ross},
    url = {http://arxiv.org/abs/2304.02643},
    arxivId = {2304.02643}
}

@article{kirillov2023segment,
    title = {{Segment anything}},
    year = {2023},
    journal = {arXiv preprint arXiv:2304.02643},
    author = {Kirillov, Alexander and Mintun, Eric and Ravi, Nikhila and Mao, Hanzi and Rolland, Chloe and Gustafson, Laura and Xiao, Tete and Whitehead, Spencer and Berg, Alexander C and Lo, Wan-Yen and {others}}
}

@article{Kirillov2023b,
    title = {{Segment Anything}},
    year = {2023},
    author = {Kirillov, Alexander and Mintun, Eric and Ravi, Nikhila and Mao, Hanzi and Rolland, Chloe and Gustafson, Laura and Xiao, Tete and Whitehead, Spencer and Berg, Alexander C. and Lo, Wan-Yen and Doll{\'{a}}r, Piotr and Girshick, Ross},
    url = {http://arxiv.org/abs/2304.02643},
    arxivId = {2304.02643}
}

@article{Zou2023,
    title = {{Segment Everything Everywhere All at Once}},
    year = {2023},
    author = {Zou, Xueyan and Yang, Jianwei and Zhang, Hao and Li, Feng and Li, Linjie and Gao, Jianfeng and Lee, Yong Jae},
    url = {http://arxiv.org/abs/2304.06718},
    arxivId = {2304.06718}
}

@article{Zou2023b,
    title = {{Segment Everything Everywhere All at Once}},
    year = {2023},
    author = {Zou, Xueyan and Yang, Jianwei and Zhang, Hao and Li, Feng and Li, Linjie and Gao, Jianfeng and Lee, Yong Jae},
    url = {http://arxiv.org/abs/2304.06718},
    arxivId = {2304.06718}
}

@article{Aljebreen2021,
    title = {{Segmentation of Tweets with URLs and its Applications to Sentiment Analysis}},
    year = {2021},
    journal = {Aaai 2021},
    author = {Aljebreen, Abdullah and Meng, Weiyi and Dragut, Eduard},
    keywords = {Speech {\&} Natural Language Processing: Information, Speech {\&} Natural Language Processing: Syntax -- Ta, Speech {\&} Natural Language Processing: Text Classif}
}

@article{Chowdhury2015,
    title = {{Selection and aggregation techniques for crowdsourced semantic annotation task}},
    year = {2015},
    journal = {Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH},
    author = {Chowdhury, Shammur Absar and Calvo, Marcos and Ghosh, Arindam and Stepanov, Evgeny A. and Bayer, Ali Orkan and Riccardi, Giuseppe and Garc{\'{i}}a, Fernando and Sanchis, Emilio},
    pages = {2779--2783},
    volume = {2015-Janua},
    issn = {19909772},
    keywords = {Annotation, Cross-language porting, Crowdsourcing}
}

@article{Su2022a,
    title = {{Selective Annotation Makes Language Models Better Few-Shot Learners}},
    year = {2022},
    author = {Su, Hongjin and Kasai, Jungo and Wu, Chen Henry and Shi, Weijia and Wang, Tianlu and Xin, Jiayi and Zhang, Rui and Ostendorf, Mari and Zettlemoyer, Luke and Smith, Noah A. and Yu, Tao},
    pages = {1--21},
    url = {http://arxiv.org/abs/2209.01975},
    arxivId = {2209.01975}
}

@article{Hou2019b,
    title = {{Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification}},
    year = {2019},
    author = {Hou, Xiaochen and Huang, Jing and Wang, Guangtao and Huang, Kevin and He, Xiaodong and Zhou, Bowen},
    pages = {1--10},
    url = {http://arxiv.org/abs/1910.10857},
    arxivId = {1910.10857}
}

@article{Li2023a,
    title = {{Self-Alignment with Instruction Backtranslation}},
    year = {2023},
    author = {Li, Xian and Yu, Ping and Zhou, Chunting and Schick, Timo and Zettlemoyer, Luke and Levy, Omer and Weston, Jason and Lewis, Mike},
    url = {http://arxiv.org/abs/2308.06259},
    arxivId = {2308.06259}
}

@article{Russwurm2020,
    title = {{Self-attention for raw optical Satellite Time Series Classification}},
    year = {2020},
    journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
    author = {Ru{\ss}wurm, Marc and K{\"{o}}rner, Marco},
    number = {November},
    pages = {421--435},
    volume = {169},
    doi = {10.1016/j.isprsjprs.2020.06.006},
    issn = {09242716},
    arxivId = {1910.10536},
    keywords = {Crop type mapping, Deep learning, Multitemporal Earth observation, Self-attention, Time series classification, Transformer, Vegetation monitoring}
}

@inproceedings{Wang2022e,
    title = {{Self-Consistency Improves Chain of Thought Reasoning in Language Models}},
    year = {2023},
    booktitle = {ICLR},
    author = {Wang, Xuezhi and Wei, Jason and Schuurmans, Dale and Le, Quoc and Chi, Ed and Narang, Sharan and Chowdhery, Aakanksha and Zhou, Denny},
    pages = {1--24},
    url = {http://arxiv.org/abs/2203.11171},
    arxivId = {2203.11171}
}

@article{Schick2021c,
    title = {{Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP}},
    year = {2021},
    journal = {TACL},
    author = {Schick, Timo and Udupa, Sahana and Sch{\"{u}}tze, Hinrich},
    number = {2020},
    pages = {1408--1424},
    volume = {9}
}

@inproceedings{Wang2022c,
    title = {{Self-Instruct: Aligning Language Model with Self Generated Instructions}},
    year = {2023},
    booktitle = {ACL},
    author = {Wang, Yizhong and Kordi, Yeganeh and Mishra, Swaroop and Liu, Alisa and Smith, Noah A. and Khashabi, Daniel and Hajishirzi, Hannaneh},
    url = {http://arxiv.org/abs/2212.10560 https://aclanthology.org/2023.acl-long.754/},
    arxivId = {2212.10560}
}

@article{Marszalek2022,
    title = {{Self-supervised learning -- A way to minimize time and effort for precision agriculture?}},
    year = {2022},
    author = {Marszalek, Michael L. and Saux, Bertrand Le and Mathieu, Pierre-Philippe and Nowakowski, Artur and Springer, Daniel},
    url = {http://arxiv.org/abs/2204.02100},
    arxivId = {2204.02100},
    keywords = {crop types, random forest, remote sensing, self-supervised learning, simsiam, transformer}
}

@article{Marszalek2022b,
    title = {{Self-supervised learning -- A way to minimize time and effort for precision agriculture?}},
    year = {2022},
    author = {Marszalek, Michael L. and Saux, Bertrand Le and Mathieu, Pierre-Philippe and Nowakowski, Artur and Springer, Daniel},
    url = {http://arxiv.org/abs/2204.02100},
    arxivId = {2204.02100},
    keywords = {crop types, random forest, remote sensing, self-supervised learning, simsiam, transformer}
}

@article{Goyal2021a,
    title = {{Self-supervised Pretraining of Visual Features in the Wild}},
    year = {2021},
    author = {Goyal, Priya and Caron, Mathilde and Lefaudeux, Benjamin and Xu, Min and Wang, Pengchao and Pai, Vivek and Singh, Mannat and Liptchinsky, Vitaliy and Misra, Ishan and Joulin, Armand and Bojanowski, Piotr},
    url = {http://arxiv.org/abs/2103.01988},
    arxivId = {2103.01988}
}

@inproceedings{Dumeur2023,
    title = {{Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series}},
    year = {2023},
    booktitle = {IGARSS},
    author = {Dumeur, Iris and Valero, Silvia and Inglada, Jordi},
    pages = {642--645},
    isbn = {9798350320107},
    doi = {10.1109/igarss52108.2023.10281412}
}

@article{Dumeur2024a,
    title = {{Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series}},
    year = {2024},
    journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
    author = {Dumeur, Iris and Valero, Silvia and Inglada, Jordi},
    pages = {4350--4367},
    volume = {17},
    publisher = {IEEE},
    doi = {10.1109/JSTARS.2024.3358066},
    issn = {21511535},
    keywords = {Representation learning, Unet, satellite image time series (SITS), self-supervised learning (SSL), spatio-temporal network, transformer}
}

@inproceedings{Dumeur2023b,
    title = {{Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series}},
    year = {2023},
    booktitle = {IGARSS},
    author = {Dumeur, Iris and Valero, Silvia and Inglada, Jordi},
    pages = {642--645},
    isbn = {9798350320107},
    doi = {10.1109/igarss52108.2023.10281412}
}

@article{Wang2024g,
    title = {{Self-Taught Evaluators}},
    year = {2024},
    author = {Wang, Tianlu and Kulikov, Ilia and Golovneva, Olga and Yu, Ping and Yuan, Weizhe and Dwivedi-Yu, Jane and Pang, Richard Yuanzhe and Fazel-Zarandi, Maryam and Weston, Jason and Li, Xian},
    url = {http://arxiv.org/abs/2408.02666},
    arxivId = {2408.02666}
}

@inproceedings{Karamanolakis2021,
    title = {{Self-Training with Weak Supervision}},
    year = {2021},
    booktitle = {Naacl},
    author = {Karamanolakis, Giannis and Mukherjee, Subhabrata and Zheng, Guoqing and Awadallah, Ahmed Hassan},
    pages = {845--863},
    doi = {10.18653/v1/2021.naacl-main.66},
    arxivId = {2104.05514},
    keywords = {2009, 2013, 2017, 2018b, 2019, alignment rules over existing, bach, bases, karamanolakis et al, knowledge, mintz et al, or heuris-, ratner et al, ren et al, tic labeling functions, xu et al}
}

@article{Rajagopal2021,
    title = {{SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers}},
    year = {2021},
    author = {Rajagopal, Dheeraj and Balachandran, Vidhisha and Hovy, Eduard and Tsvetkov, Yulia},
    url = {http://arxiv.org/abs/2103.12279},
    arxivId = {2103.12279}
}

@article{Rustowicz2019,
    title = {{Semantic Segmentation of Crop Type in Africa: A Novel Dataset and Analysis of Deep Learning Methods}},
    year = {2019},
    journal = {CVPR Workshops},
    author = {Rustowicz, Rose and Cheong, Robin and Wang, Lijing and Ermon, Stefano and Burke, Marshall and Lobell, David},
    pages = {75--82},
    volume = {1},
    url = {https://github.}
}

@article{Gimenez2020,
    title = {{Semantic-based padding in convolutional neural networks for improving the performance in natural language processing. A case of study in sentiment analysis}},
    year = {2020},
    journal = {Neurocomputing},
    author = {Gim{\'{e}}nez, Maite and Palanca, Javier and Botti, Vicent},
    pages = {315--323},
    volume = {378},
    doi = {10.1016/j.neucom.2019.08.096},
    issn = {18728286},
    keywords = {Convolutional neural networks, Natural language processing, Padding}
}

@article{Caliskan2017,
    title = {{Semantics derived automatically from language corpora contain human-like biases}},
    year = {2017},
    journal = {Science},
    author = {Caliskan, Aylin and Bryson, Joanna J and Narayanan, Arvind},
    number = {6334},
    pages = {183--186},
    volume = {356},
    doi = {10.1126/science.aal4230},
    issn = {10959203},
    pmid = {28408601},
    arxivId = {1608.07187}
}

@article{Augenstein2018a,
    title = {{SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications}},
    year = {2017},
    author = {Augenstein, Isabelle and Das, Mrinal and Riedel, Sebastian and Vikraman, Lakshmi and McCallum, Andrew},
    pages = {546--555},
    doi = {10.18653/v1/s17-2091},
    arxivId = {1704.02853}
}

@article{Kim2013c,
    title = {{SemEval-2010 Task 5: Automatic keyphrase extraction from scientific articles}},
    year = {2010},
    journal = {ACL},
    author = {Kim, Su Nam and Medelyan, Olena and Kan, Min Yen and Baldwin, Timothy},
    number = {3},
    pages = {723--742},
    volume = {47},
    doi = {10.1007/s10579-012-9210-3},
    issn = {1574020X},
    keywords = {Keyphrase extraction, Scientific document processing, SemEval-2010, Shared task}
}

@article{Nakov2013,
    title = {{SemEval-2013 task 2: Sentiment analysis in Twitter}},
    year = {2013},
    journal = {*SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics},
    author = {Nakov, Preslav and Kozareva, Zornitsa and Ritter, Alan and Rosenthal, Sara and Stoyanov, Veselin and Wilson, Theresa},
    number = {SemEval},
    pages = {312--320},
    volume = {2},
    isbn = {9781937284497}
}

@article{Dzikovska2013,
    title = {{SemEval-2013 Task 7: The joint student response analysis and 8th recognizing textual entailment challenge}},
    year = {2013},
    journal = {*SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics},
    author = {Dzikovska, Myroslava O. and Nielsen, Rodney D. and Brew, Chris and Giampiccolo, Danilo and Clark, Peter and Leacock, Claudia and Bentivogli, Luisa and Dagan, Ido and Dang, Hoa Trang},
    number = {SemEval},
    pages = {263--274},
    volume = {2},
    isbn = {9781937284497}
}

@article{Rosenthal2015a,
    title = {{SemEval-2014 Task 9: Sentiment Analysis in Twitter}},
    year = {2014},
    author = {Rosenthal, Sara and Ritter, Alan and Nakov, Preslav and Stoyanov, Veselin},
    number = {SemEval},
    pages = {73--80},
    doi = {10.3115/v1/s14-2009},
    arxivId = {1912.02990}
}

@article{Rosenthal2015b,
    title = {{SemEval-2015 Task 10: Sentiment Analysis in Twitter}},
    year = {2015},
    author = {Rosenthal, Sara and Nakov, Preslav and Kiritchenko, Svetlana and Mohammad, Saif and Ritter, Alan and Stoyanov, Veselin},
    number = {SemEval},
    pages = {451--463},
    doi = {10.18653/v1/s15-2078},
    arxivId = {1912.02387}
}

@article{Nakov2016,
    title = {{SemEval-2016 task 4: Sentiment analysis in twitter}},
    year = {2016},
    journal = {SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings},
    author = {Nakov, Preslav and Ritter, Alan and Rosenthal, Sara and Sebastiani, Fabrizio and Stoyanov, Veselin},
    pages = {1--18},
    isbn = {9781941643952},
    arxivId = {1912.01973}
}

@inproceedings{MohammadSem16,
    title = {{SemEval-2016 Task 6 : Detecting Stance in Tweets}},
    year = {2016},
    booktitle = {SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings},
    author = {Mohammad, Saif M and Kiritchenko, Svetlana and Sobhani, Parinaz and Zhu, Xiaodan and Cherry, Colin},
    pages = {31--41}
}

@article{Rosenthal2018,
    title = {{SemEval-2017 Task 4: Sentiment Analysis in Twitter}},
    year = {2018},
    author = {Rosenthal, Sara and Farra, Noura and Nakov, Preslav},
    pages = {502--518},
    doi = {10.18653/v1/s17-2088},
    arxivId = {1912.00741}
}

@article{Derczynski2017,
    title = {{SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours}},
    year = {2017},
    author = {Derczynski, Leon and Bontcheva, Kalina and Liakata, Maria and Procter, Rob and Hoi, Geraldine Wong Sak and Zubiaga, Arkaitz},
    pages = {69--76},
    url = {http://arxiv.org/abs/1704.05972},
    arxivId = {1704.05972}
}

@article{Mohammad2018a,
    title = {{SemEval-2018 Task 1: Affect in Tweets}},
    year = {2018},
    author = {Mohammad, Saif and Bravo-Marquez, Felipe and Salameh, Mohammad and Kiritchenko, Svetlana},
    number = {V},
    pages = {1--17},
    doi = {10.18653/v1/s18-1001}
}

@article{Sharma2020,
    title = {{SemEval-2020 Task 8: Memotion Analysis -- The Visuo-Lingual Metaphor!}},
    year = {2020},
    author = {Sharma, Chhavi and Bhageria, Deepesh and Scott, William and PYKL, Srinivas and Das, Amitava and Chakraborty, Tanmoy and Pulabaigari, Viswanath and Gamback, Bjorn},
    pages = {1--14},
    volume = {1},
    url = {http://arxiv.org/abs/2008.03781},
    arxivId = {2008.03781}
}

@inproceedings{barnes-etal-2022-semeval,
    title = {{SemEval-2022 Task 10: Structured Sentiment Analysis}},
    year = {2022},
    booktitle = {Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)},
    author = {Barnes, Jeremy and Oberl{\"{a}}nder, Laura Ana Maria and Troiano, Enrica and Kutuzov, Andrey and Buchmann, Jan and Agerri, Rodrigo and {\O}vrelid, Lilja and Velldal, Erik},
    publisher = {Association for Computational Linguistics},
    address = {Seattle}
}

@article{Andersen2023,
    title = {{Semi-automatic coding of open-ended text responses in large-scale assessments}},
    year = {2023},
    journal = {Journal of Computer Assisted Learning},
    author = {Andersen, Nico and Zehner, Fabian and Goldhammer, Frank},
    number = {3},
    pages = {841--854},
    volume = {39},
    doi = {10.1111/jcal.12717},
    issn = {13652729},
    keywords = {clustering, eco, effort reduction, exploring coding assistant, semi-automatic coding, support human raters}
}

@article{Horbach2019,
    title = {{Semi-supervised clustering for short answer scoring}},
    year = {2019},
    journal = {LREC 2018 - 11th International Conference on Language Resources and Evaluation},
    author = {Horbach, Andrea and Pinkal, Manfred},
    pages = {4065--4071},
    isbn = {9791095546009},
    keywords = {Clustering, Computer-Assisted Language Learning, Short-Answer Scoring}
}

@inproceedings{Su2012,
    title = {{Semi-Supervised Learning for Imbalanced Sentiment Classification}},
    year = {2011},
    booktitle = {IJCAI},
    author = {Li, Shoushan and Wang, Zhongqing and Zhou, Guodong and Lee, Sophia Yat Mei},
    pages = {13--16},
    doi = {10.1109/IALP.2012.53},
    keywords = {Cross-language, Semi-supervised, Sentiment classification}
}

@techreport{Zhu2008,
    title = {{Semi-Supervised Learning Literature Survey Contents}},
    year = {2005},
    booktitle = {Computer Sciences TR 1530},
    author = {Zhu, Xiaojin},
    url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.99.9681&amp;rep=rep1&amp;type=pdf},
    institution = {Computer Sciences, University of Wisconsin-Madison},
    isbn = {0769529321},
    doi = {10.1.1.146.2352},
    issn = {0002-7863},
    pmid = {22175947},
    arxivId = {1412.6596}
}

@inproceedings{Stanescu2014,
    title = {{Semi-Supervised Self-training Approaches for Imbalanced Splice Site Datasets}},
    year = {2014},
    booktitle = {BIOCB},
    author = {Stanescu, Ana and Caragea, Doina},
    issn = {03639061}
}

@article{Soares2016,
    title = {{Semi-supervised self-training approaches in small and unbalanced datasets: Application to xerostomia radiation side-effect}},
    year = {2016},
    journal = {IFMBE Proceedings},
    author = {Soares, Inês and Dias, Joana and Rocha, Humberto and Khouri, Leila and do Carmo Lopes, Maria and Ferreira, Brígida},
    pages = {822--827},
    volume = {57},
    isbn = {9783319327013},
    doi = {10.1007/978-3-319-32703-7{\_}161},
    issn = {14339277},
    keywords = {Radiotherapy, Semi-supervised learning, Small databases, Unbalanced datasets, Xerostomia}
}

@book{Castillo-Navarro2022,
    title = {{Semi-supervised semantic segmentation in Earth Observation: the MiniFrance suite, dataset analysis and multi-task network study}},
    year = {2022},
    booktitle = {Machine Learning},
    author = {Castillo-Navarro, Javiera and Le Saux, Bertrand and Boulch, Alexandre and Audebert, Nicolas and Lef{\`{e}}vre, Sébastien},
    number = {9},
    pages = {3125--3160},
    volume = {111},
    publisher = {Springer US},
    url = {https://doi.org/10.1007/s10994-020-05943-y},
    isbn = {0123456789},
    doi = {10.1007/s10994-020-05943-y},
    issn = {15730565},
    arxivId = {2010.07830},
    keywords = {Earth Observation, Land use mapping, Large-scale dataset, Semantic segmentation, Semi-supervised learning}
}

@inproceedings{Siniukov2024,
    title = {{SEMPI : A Database for Understanding Social Engagement in Video-Mediated Multiparty Interaction}},
    year = {2024},
    booktitle = {ICMI '24: Proceedings of the 26th International Conference on Multimodal Interaction},
    author = {Siniukov, Maksim and Yin, Yufeng and Fast, Eli and Qi, Yingshan and Monga, Aarav and Kim, Audrey and Soleymani, Mohammad},
    pages = {546--555},
    isbn = {9798400704628},
    doi = {10.1145/3678957.3685752}
}

@article{Schmitt2019,
    title = {{SEN12MS -- A CURATED DATASET of GEOREFERENCED MULTI-SPECTRAL SENTINEL-1/2 IMAGERY for DEEP LEARNING and DATA FUSION}},
    year = {2019},
    journal = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
    author = {Schmitt, M. and Hughes, L. H. and Qiu, C. and Zhu, X. X.},
    number = {2/W7},
    pages = {153--160},
    volume = {4},
    doi = {10.5194/isprs-annals-IV-2-W7-153-2019},
    issn = {21949050},
    arxivId = {1906.07789},
    keywords = {Data Fusion, Dataset, Deep Learning, Machine Learning, Multi-Spectral Imagery, Optical Remote Sensing, Remote Sensing, Sentinel-1, Sentinel-2, Synthetic Aperture Radar (SAR)}
}

@article{Reimers2020a,
    title = {{Sentence-BERT: Sentence embeddings using siamese BERT-networks}},
    year = {2020},
    journal = {EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference},
    author = {Reimers, Nils and Gurevych, Iryna},
    pages = {3982--3992},
    isbn = {9781950737901},
    doi = {10.18653/v1/d19-1410},
    arxivId = {1908.10084}
}

@article{Ni2021,
    title = {{Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models}},
    year = {2021},
    author = {Ni, Jianmo and {\{}{\'{A}}{\}}brego, Gustavo Hernández and Constant, Noah and Ma, Ji and Hall, Keith B. and Cer, Daniel and Yang, Yinfei},
    url = {http://arxiv.org/abs/2108.08877},
    arxivId = {2108.08877}
}

@article{Ke2019,
    title = {{SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge}},
    year = {2019},
    author = {Ke, Pei and Ji, Haozhe and Liu, Siyang and Zhu, Xiaoyan and Huang, Minlie},
    arxivId = {arXiv:1911.02493v3}
}

@article{Ke2020,
    title = {{SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge}},
    year = {2020},
    journal = {COLING},
    author = {Ke, Pei and Ji, Haozhe and Liu, Siyang and Zhu, Xiaoyan and Huang, Minlie},
    pages = {6975--6988},
    doi = {10.18653/v1/2020.emnlp-main.567},
    arxivId = {1911.02493}
}

@article{Balahur2015,
    title = {{Sentiment analysis system adaptation for multilingual processing: The case of tweets}},
    year = {2015},
    journal = {Information Processing and Management},
    author = {Balahur, Alexandra and Perea-Ortega, José M.},
    number = {4},
    pages = {547--556},
    volume = {51},
    publisher = {Elsevier Ltd},
    url = {http://dx.doi.org/10.1016/j.ipm.2014.10.004},
    doi = {10.1016/j.ipm.2014.10.004},
    issn = {03064573},
    keywords = {Chat analysis, Multilingual resources, Sentiment analysis, Social media mining, Subjectivity analysis}
}

@article{Stoehr2023,
    title = {{Sentiment as an Ordinal Latent Variable}},
    year = {2023},
    journal = {EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Stoehr, Niklas and Cotterell, Ryan and Schein, Aaron},
    pages = {103--115},
    isbn = {9781959429449}
}

@book{Lever2022,
    title = {{Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting}},
    year = {2022},
    booktitle = {Journal of Computational Social Science},
    author = {Lever, Jake and Arcucci, Rossella},
    number = {2},
    pages = {1427--1465},
    volume = {5},
    publisher = {Springer Nature Singapore},
    url = {https://doi.org/10.1007/s42001-022-00174-8},
    isbn = {0123456789},
    doi = {10.1007/s42001-022-00174-8},
    issn = {24322725},
    keywords = {Machine learning, Satellite data, Sentiment analysis, Social media, Twitter data, Wildfires}
}

@inproceedings{Zhou2020,
    title = {{SENTIX : A Sentiment-Aware Pre-Trained Model for Cross-Domain Sentiment Analysis}},
    year = {2020},
    booktitle = {COLING},
    author = {Zhou, Jie and Tian, Junfeng and Wang, Rui and Wu, Yuanbin and Xiao, Wenming and He, Liang},
    pages = {568--579}
}

@inproceedings{LouisetICLR24,
    title = {{SEPARATING COMMON FROM SALIENT PATTERNS WITH CONTRASTIVE REPRESENTATION LEARNING}},
    year = {2024},
    booktitle = {ICLR},
    author = {Louiset, Robin and Duchesnay, Edouard and Grigis, Antoine and Gori, Pietro}
}

@inproceedings{Sutskever2014a,
    title = {{Sequence to Sequence Learning with Neural Networks}},
    year = {2014},
    booktitle = {NIPS},
    author = {Sutskever, Ilya and Vinyals, Oriol and Le, Quoc V.}
}

@article{Bonheme2020,
    title = {{SESAM at SemEval-2020 Task 8 : Investigating the relationship between image and text in sentiment analysis of memes}},
    year = {2020},
    author = {Bonheme, Lisa},
    number = {2017}
}

@article{BarriereBits24,
    title = {{Sesgos fant{\'{a}}sticos: Qu{\'{e}} son y d{\'{o}}nde encontrarlos}},
    year = {2024},
    journal = {Bits de Ciencias},
    author = {Barriere, Valentin},
    pages = {02--13},
    volume = {26},
    url = {https://www.dcc.uchile.cl/media/bits/pdfs/bits26.2-sesgos-fantasticos.pdf}
}

@article{Toure2019,
    title = {{Shoreline detection using optical remote sensing: A review}},
    year = {2019},
    journal = {ISPRS International Journal of Geo-Information},
    author = {Toure, Seynabou and Diop, Oumar and Kpalma, Kidiyo and Maiga, Amadou Seidou},
    number = {2},
    volume = {8},
    doi = {10.3390/ijgi8020075},
    issn = {22209964},
    keywords = {Beach monitoring, Coastline, Feature extraction, Shoreline}
}

@inproceedings{barriere2018short,
    title = {{Short review of sentiment-based recommender systems}},
    year = {2018},
    booktitle = {Proceedings of the 1st International Conference on Digital Tools {\&} Uses Congress},
    author = {Barri{\`{e}}re, Valentin and Kembellec, Gérald},
    pages = {1--4}
}

@inproceedings{Zayed2024a,
    title = {{Should We Attend More or Less? Modulating Attention for Fairness}},
    year = {2024},
    booktitle = {CoLM},
    author = {Zayed, Abdelrahman and Mordido, Goncalo and Shabanian, Samira and Chandar, Sarath},
    month = {5},
    url = {https://arxiv.org/abs/2305.13088v2 http://arxiv.org/abs/2305.13088},
    arxivId = {2305.13088}
}

@article{calderon2021signed,
    title = {{Signed reward prediction errors in the ventral striatum drive episodic memory}},
    year = {2021},
    journal = {Journal of Neuroscience},
    author = {Calderon, Cristian B and De Loof, Esther and Ergo, Kate and Snoeck, Anna and Boehler, Carsten N and Verguts, Tom},
    number = {8},
    pages = {1716--1726},
    volume = {41},
    publisher = {Soc Neuroscience}
}

@book{Mehrabian1971,
    title = {{Silent messages}},
    year = {1971},
    booktitle = {Silent Messages},
    author = {Mehrabian, Albert},
    pages = {viii, 152 p.},
    url = {http://www.speakingaboutpresenting.com/presentation-myths/mehrabian-nonverbal-communication-research/},
    isbn = {0534000592},
    issn = {00027294},
    keywords = {Body language., Communication., Kinesics., Nonverbal Communication., Social Behavior.}
}

@article{Gao2021a,
    title = {{SimCSE: Simple Contrastive Learning of Sentence Embeddings}},
    year = {2021},
    journal = {EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings},
    author = {Gao, Tianyu and Yao, Xingcheng and Chen, Danqi},
    pages = {6894--6910},
    isbn = {9781955917094},
    doi = {10.18653/v1/2021.emnlp-main.552},
    arxivId = {2104.08821}
}

@book{Ramnarain-Seetohul2022a,
    title = {{Similarity measures in automated essay scoring systems: A ten-year review}},
    year = {2022},
    booktitle = {Education and Information Technologies},
    author = {Ramnarain-Seetohul, Vidasha and Bassoo, Vandana and Rosunally, Yasmine},
    number = {4},
    pages = {5573--5604},
    volume = {27},
    publisher = {Springer US},
    url = {https://doi.org/10.1007/s10639-021-10838-z},
    isbn = {0123456789},
    doi = {10.1007/s10639-021-10838-z},
    issn = {15737608},
    keywords = {Automated assessment, Essay scoring, Review, Similarity score, Techniques}
}

@inproceedings{Bexte2023,
    title = {{Similarity-Based Content Scoring - A more Classroom-Suitable Alternative to Instance-Based Scoring?}},
    year = {2023},
    booktitle = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Bexte, Marie and Horbach, Andrea and Zesch, Torsten},
    pages = {1892--1903},
    isbn = {9781959429623},
    doi = {10.18653/v1/2023.findings-acl.119},
    issn = {0736587X}
}

@article{Bexte2022,
    title = {{Similarity-Based Content Scoring - How to Make S-BERT Keep Up With BERT}},
    year = {2022},
    journal = {BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings},
    author = {Bexte, Marie and Horbach, Andrea and Zesch, Torsten},
    number = {Bea},
    pages = {118--123},
    isbn = {9781955917834},
    doi = {10.18653/v1/2022.bea-1.16}
}

@article{Lavoie2022,
    title = {{Simplicial Embeddings in Self-Supervised Learning and Downstream Classification}},
    year = {2022},
    author = {Lavoie, Samuel and Tsirigotis, Christos and Schwarzer, Max and Vani, Ankit and Noukhovitch, Michael and Kawaguchi, Kenji and Courville, Aaron},
    pages = {1--30},
    url = {http://arxiv.org/abs/2204.00616},
    arxivId = {2204.00616}
}

@inproceedings{devault2014simsensei,
    title = {{SimSensei Kiosk: A virtual human interviewer for healthcare decision support}},
    year = {2014},
    booktitle = {Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems},
    author = {DeVault, David and Artstein, Ron and Benn, Grace and Dey, Teresa and Fast, Ed and Gainer, Alesia and Georgila, Kallirroi and Gratch, Jon and Hartholt, Arno and Lhommet, Margaux and {others}},
    pages = {1061--1068}
}

@article{Peter2017,
    title = {{SimSensei Kiosk: A Virtual Human Interviewer for Healthcare Decision Support}},
    year = {2017},
    author = {Peter, John},
    number = {2},
    pages = {12--14},
    volume = {23},
    keywords = {dialogue systems, nonverbal behavior, virtual humans}
}

@inproceedings{Plaza-del-arco2022,
    title = {{SINAI at WASSA 2022 : Empathy and Distress Prediction using Transformer Multi-output Regression and Emotion Analysis with an Ensemble of Supervised and Zero-Shot Learning Models}},
    year = {2022},
    booktitle = {WASSA},
    author = {Plaza-del-arco, Flor Miriam and Collado-monta{\~{n}}ez, Jaime and Ure{\~{n}}a-l{\'{o}}pez, L Alfonso}
}

@inproceedings{Moon2020,
    title = {{Situated and Interactive Multimodal Conversations}},
    year = {2020},
    booktitle = {COLING},
    author = {Moon, Seungwhan and Kottur, Satwik and Crook, Paul A and De, Ankita and Poddar, Shivani and Levin, Theodore and Whitney, David and Difranco, Daniel and Beirami, Ahmad and Cho, Eunjoon and Subba, Rajen and Geramifard, Alborz},
    pages = {1103--1121}
}

@article{Tian2020,
    title = {{Skep: Sentiment knowledge enhanced pre-training for sentiment analysis}},
    year = {2020},
    journal = {arXiv},
    author = {Tian, Hao and Gao, Can and Xiao, Xinyan and Liu, Hao and He, Bolei and Wu, Hua and Wang, Haifeng and Wu, Feng},
    pages = {4067--4076},
    doi = {10.18653/v1/2020.acl-main.374},
    issn = {23318422},
    arxivId = {2005.05635}
}

@article{Hubinger2024,
    title = {{Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training}},
    year = {2024},
    author = {Hubinger, Evan and Denison, Carson and Mu, Jesse and Lambert, Mike and Tong, Meg and MacDiarmid, Monte and Lanham, Tamera and Ziegler, Daniel M. and Maxwell, Tim and Cheng, Newton and Jermyn, Adam and Askell, Amanda and Radhakrishnan, Ansh and Anil, Cem and Duvenaud, David and Ganguli, Deep and Barez, Fazl and Clark, Jack and Ndousse, Kamal and Sachan, Kshitij and Sellitto, Michael and Sharma, Mrinank and DasSarma, Nova and Grosse, Roger and Kravec, Shauna and Bai, Yuntao and Witten, Zachary and Favaro, Marina and Brauner, Jan and Karnofsky, Holden and Christiano, Paul and Bowman, Samuel R. and Graham, Logan and Kaplan, Jared and Mindermann, Sören and Greenblatt, Ryan and Shlegeris, Buck and Schiefer, Nicholas and Perez, Ethan},
    pages = {1--70},
    url = {http://arxiv.org/abs/2401.05566},
    arxivId = {2401.05566}
}

@article{Babakniya2023,
    title = {{SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models}},
    year = {2023},
    author = {Babakniya, Sara and Elkordy, Ahmed Roushdy and Ezzeldin, Yahya H. and Liu, Qingfeng and Song, Kee-Bong and El-Khamy, Mostafa and Avestimehr, Salman},
    url = {http://arxiv.org/abs/2308.06522},
    arxivId = {2308.06522}
}

@inproceedings{Shen2024,
    title = {{Small LLMs Are Weak Tool Learners: A Multi-LLM Agent}},
    year = {2024},
    booktitle = {ACL},
    author = {Shen, Weizhou and Li, Chenliang and Chen, Hongzhan and Yan, Ming and Quan, Xiaojun and Chen, Hehong and Zhang, Ji and Huang, Fei},
    pages = {16658--16680},
    url = {http://arxiv.org/abs/2401.07324},
    arxivId = {2401.07324}
}

@article{Jiang2020,
    title = {{SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization}},
    year = {2020},
    author = {Jiang, Haoming and He, Pengcheng and Chen, Weizhu and Liu, Xiaodong and Gao, Jianfeng and Zhao, Tuo},
    pages = {2177--2190},
    doi = {10.18653/v1/2020.acl-main.197},
    arxivId = {1911.03437}
}

@article{lian2022smin,
    title = {{Smin: Semi-supervised multi-modal interaction network for conversational emotion recognition}},
    year = {2022},
    journal = {IEEE Transactions on Affective Computing},
    author = {Lian, Zheng and Liu, Bin and Tao, Jianhua},
    publisher = {IEEE}
}

@article{Schaetzen2020,
    title = {{Smoke Detection Model on the ALERTWildfire Camera Network}},
    year = {2020},
    author = {Schaetzen, Rodrigue De and Menoni, Raphael Chang and Chen, Yifu and Hasani, Drijon},
    pages = {1--11},
    url = {https://rdesc.dev/project_x_final.pdf}
}

@inproceedings{Ratner2020,
    title = {{Snorkel: rapid training data creation with weak supervision}},
    year = {2019},
    booktitle = {VLDB Journal},
    author = {Ratner, Alexander and Bach, Stephen H. and Ehrenberg, Henry and Fries, Jason and Wu, Sen and R{\'{e}}, Christopher},
    number = {2-3},
    pages = {709--730},
    volume = {29},
    doi = {10.1007/s00778-019-00552-1},
    issn = {0949877X},
    keywords = {Machine learning, Training data, Weak supervision}
}

@article{Sap2020,
    title = {{Social Bias Frames: Reasoning about Social and Power Implications of Language}},
    year = {2020},
    journal = {Proceedings ofthe 58th Annual Meeting ofthe Association for Computational Linguistics},
    author = {Sap, Maarten and Gabriel, Saadia and Qin, Lianhui and Jurafsky, Dan and Smith, Noah A. and Choi, Yejin},
    pages = {5477--5490}
}

@article{Manerba2023,
    title = {{Social Bias Probing: Fairness Benchmarking for Language Models}},
    year = {2023},
    author = {Manerba, Marta Marchiori and Sta{\'{n}}czak, Karolina and Guidotti, Riccardo and Augenstein, Isabelle},
    url = {http://arxiv.org/abs/2311.09090},
    arxivId = {2311.09090}
}

@article{Olteanu2019,
    title = {{Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries}},
    year = {2019},
    journal = {Frontiers in Big Data},
    author = {Olteanu, Alexandra and Castillo, Carlos and Diaz, Fernando and Kıcıman, Emre},
    number = {July},
    volume = {2},
    doi = {10.3389/fdata.2019.00013},
    issn = {2624-909X},
    keywords = {biases, ethics, evaluation, social media, social media, user data, biases, evaluation, ethic, user data}
}

@inproceedings{Vossen2009,
    title = {{Social influence of a persuasive agent: The role of agent embodiment and evaluative feedback}},
    year = {2009},
    booktitle = {Persuasive '09: Proceedings of the 4th International Conference on Persuasive Technology},
    author = {Vossen, Suzanne and Ham, Jaap and Midden, Cees},
    volume = {350},
    isbn = {9781605583761},
    doi = {10.1145/1541948.1542007},
    keywords = {Embodied agents, Energy conservation behavior, Evaluative feedback, Gender differences, Persuasion}
}

@article{Vinciarelli2009a,
    title = {{Social signal processing: Survey of an emerging domain}},
    year = {2009},
    journal = {Image and Vision Computing},
    author = {Vinciarelli, Alessandro and Pantic, Maja and Bourlard, Hervé},
    number = {12},
    pages = {1743--1759},
    volume = {27},
    doi = {10.1016/j.imavis.2008.11.007},
    issn = {02628856},
    keywords = {Computer vision, Human behaviour analysis, Social interactions, Social signals, Speech processing}
}

@article{Vinciarelli2008a,
    title = {{Social signals, their function, and automatic analysis}},
    year = {2008},
    journal = {Proceedings of the 10th international conference on Multimodal interfaces - IMCI '08},
    author = {Vinciarelli, Alessandro and Pantic, Maja and Bourlard, Hervé and Pentland, Alex},
    pages = {61},
    url = {http://portal.acm.org/citation.cfm?doid=1452392.1452405},
    isbn = {9781605581989},
    doi = {10.1145/1452392.1452405},
    keywords = {computer vision, definitely a key ability, difference between, life being involved in, social behaviour anal-, social intelligence is, social interactions, social signal processing, speech analysis, that can make the, ysis}
}

@book{Park2022,
    title = {{Social Simulacra: Creating Populated Prototypes for Social Computing Systems}},
    year = {2022},
    booktitle = {UIST 2022 - Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology},
    author = {Park, Joon Sung and Popowski, Lindsay and Cai, Carrie and Morris, Meredith Ringel and Liang, Percy and Bernstein, Michael S.},
    number = {1},
    volume = {1},
    publisher = {Association for Computing Machinery},
    isbn = {9781450393201},
    doi = {10.1145/3526113.3545616},
    arxivId = {2208.04024},
    keywords = {prototyping, social computing}
}

@inproceedings{Omrani2022,
    title = {{Social-Group-Agnostic Bias Mitigation via the Stereotype Content Model}},
    year = {2022},
    booktitle = {ACL},
    author = {Omrani, Ali and Kennedy, Brendan and Ziabari, Alireza S and Yu, Charles},
    pages = {4123--4139},
    volume = {1}
}

@inproceedings{Zadeh2019socialiq,
    title = {{Social-IQ : A Question Answering Benchmark for Artificial Social Intelligence}},
    year = {2019},
    booktitle = {CVPR},
    author = {Zadeh, Amir and Chan, Michael and Liang, Paul Pu and Tong, Edmund and Morency, Louis-philippe},
    pages = {8807--8817}
}

@inproceedings{Zhao2016a,
    title = {{Socially-aware virtual agents: Automatically assessing dyadic rapport from temporal patterns of behavior}},
    year = {2016},
    booktitle = {Proceedings of Intelligent Virtual Agents (IVA 2016).},
    author = {Zhao, Ran and Sinha, Tanmay and Black, Alan W and Cassell, Justine},
    volume = {10011 LNAI},
    isbn = {9783319476643},
    doi = {10.1007/978-3-319-47665-0{\_}20},
    issn = {16113349}
}

@article{Kiritchenko2020,
    title = {{SOLO: A corpus of tweets for examining the state of being alone}},
    year = {2020},
    journal = {LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings},
    author = {Kiritchenko, Svetlana and Hipson, Will E. and Coplan, Robert J. and Mohammad, Saif M.},
    number = {May},
    pages = {1567--1577},
    isbn = {9791095546344},
    arxivId = {2006.03096},
    keywords = {Lonely, Mental health, Solitude, Well-being}
}

@article{Zhou2023a,
    title = {{SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents}},
    year = {2023},
    author = {Zhou, Xuhui and Zhu, Hao and Mathur, Leena and Zhang, Ruohong and Yu, Haofei and Qi, Zhengyang and Morency, Louis-Philippe and Bisk, Yonatan and Fried, Daniel and Neubig, Graham and Sap, Maarten},
    pages = {1--43},
    url = {http://arxiv.org/abs/2310.11667},
    arxivId = {2310.11667}
}

@inproceedings{pellegrini2016sous,
    title = {{Sous-continents Estimation of Emotion in Music with Recurrent Neural Networks}},
    year = {2016},
    author = {Pellegrini, Thomas and Barri{\`{e}}re, Valentin},
    organization = {CEUR Workshop Proceedings}
}

@article{maimaitijiang2020soybean,
    title = {{Soybean yield prediction from UAV using multimodal data fusion and deep learning}},
    year = {2020},
    journal = {Remote sensing of environment},
    author = {Maimaitijiang, Maitiniyazi and Sagan, Vasit and Sidike, Paheding and Hartling, Sean and Esposito, Flavio and Fritschi, Felix B},
    pages = {111599},
    volume = {237},
    publisher = {Elsevier}
}

@misc{spacy,
    title = {{spaCy: Industrial-strength Natural Language Processing in Python}},
    year = {2023},
    author = {AI, Explosion},
    url = {https://spacy.io}
}

@article{Canete2020,
    title = {{Spanish Pre-Trained BERT Model}},
    year = {2020},
    journal = {Workshop paper at PML4DC, ICLR},
    author = {Ca{\~{n}}ete, Jose and Chaperon, Gabriel and Fuentes, Rodrigo and Ho, Jou-Hui and Kang, Hojin and Perez, Jorge},
    pages = {1--10}
}

@inproceedings{CaneteCFP2020,
    title = {{Spanish Pre-Trained BERT Model and Evaluation Data}},
    year = {2020},
    booktitle = {PML4DC at ICLR 2020},
    author = {Ca{\~{n}}ete, José and Chaperon, Gabriel and Fuentes, Rodrigo and Ho, Jou-Hui and Kang, Hojin and P{\'{e}}rez, Jorge}
}

@unpublished{Bubeck2023,
    title = {{Sparks of Artificial General Intelligence: Experiments with an early version of GPT-4}},
    year = {2023},
    author = {Bubeck, Sébastien and Chandrasekaran, Varun and Eldan, Ronen and Gehrke, Johannes and Horvitz, Eric and Kamar, Ece and Lee, Peter and Lee, Yin Tat and Li, Yuanzhi and Lundberg, Scott and Nori, Harsha and Palangi, Hamid and Ribeiro, Marco Tulio and Zhang, Yi},
    arxivId = {arXiv:2303.12712v3}
}

@inproceedings{Hammerl2022,
    title = {{Speaking Multiple Languages Affects the Moral Bias of Language Models}},
    year = {2022},
    booktitle = {Findings of ACL: ACL 2023},
    author = {H{\"{a}}mmerl, Katharina and Deiseroth, Björn and Schramowski, Patrick and Libovick{\'{y}}, Jindřich and Rothkopf, Constantin A. and Fraser, Alexander and Kersting, Kristian},
    pages = {2137--2156},
    url = {http://arxiv.org/abs/2211.07733},
    arxivId = {2211.07733}
}

@article{Braga2004,
    title = {{Speech Prosody 2004 The Pragmatics of Prosodic Features in the Political Debate}},
    year = {2004},
    journal = {Finance},
    author = {Braga, Daniela and Marques, Maria Aldina}
}

@article{Yu2023,
    title = {{Speech-Text Dialog Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment}},
    year = {2023},
    journal = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Yu, Tianshu and Gao, Haoyu and Lin, Ting En and Yang, Min and Wu, Yuchuan and Ma, Wentao and Wang, Chao and Huang, Fei and Li, Yongbin},
    pages = {7900--7913},
    volume = {1},
    isbn = {9781959429722},
    doi = {10.18653/v1/2023.acl-long.438},
    issn = {0736587X},
    arxivId = {2305.11579}
}

@inproceedings{Zhang2024,
    title = {{SPEECHTOKENIZER: UNIFIED SPEECH TOKENIZER FOR SPEECH LANGUAGE MODELS}},
    year = {2024},
    booktitle = {12th International Conference on Learning Representations, ICLR 2024},
    author = {Zhang, Xin and Zhang, Dong and Li, Shimin and Zhou, Yaqian and Qiu, Xipeng},
    pages = {1--21},
    arxivId = {2308.16692}
}

@article{Anderson2016,
    title = {{SPICE: Semantic propositional image caption evaluation}},
    year = {2016},
    journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    author = {Anderson, Peter and Fernando, Basura and Johnson, Mark and Gould, Stephen},
    pages = {382--398},
    volume = {9909 LNCS},
    isbn = {9783319464534},
    doi = {10.1007/978-3-319-46454-1{\_}24},
    issn = {16113349},
    arxivId = {1607.08822}
}

@misc{Given2024,
    title = {{Spurious correlation {\#}4,242}},
    year = {2024},
    author = {Given, Tyler},
    url = {www.tylervigen.com/spurious/correlation/4242_the-distance-between-neptune-and-earth_correlates-with_remaining-forest-cover-in-the-brazilian-amazon}
}

@article{Vashishth2024,
    title = {{STAB: Speech Tokenizer Assessment Benchmark}},
    year = {2024},
    author = {Vashishth, Shikhar and Singh, Harman and Bharadwaj, Shikhar and Ganapathy, Sriram and Asawaroengchai, Chulayuth and Audhkhasi, Kartik and Rosenberg, Andrew and Bapna, Ankur and Ramabhadran, Bhuvana},
    url = {http://arxiv.org/abs/2409.02384},
    arxivId = {2409.02384}
}

@article{Evans2024,
    title = {{Stable Audio Open}},
    year = {2024},
    author = {Evans, Zach and Parker, Julian D. and Carr, CJ and Zukowski, Zack and Taylor, Josiah and Pons, Jordi},
    url = {http://arxiv.org/abs/2407.14358},
    arxivId = {2407.14358}
}

@article{Pamungkas2019,
    title = {{Stance classification for rumour analysis in Twitter: Exploiting affective information and conversation structure}},
    year = {2018},
    journal = {RDSM, CIKM’18},
    author = {Pamungkas, Endang Wahyu and Basile, Valerio and Patti, Viviana},
    volume = {2482},
    issn = {16130073},
    arxivId = {1901.01911},
    keywords = {2018, acm reference format, affect, and viviana patti, endang wahyu pamungkas, rumour analysis, sentiment analysis, stance, stance detection, valerio basile}
}

@article{Hasan2013,
    title = {{Stance Classification of Ideological Debates : Data , Models , Features , and Constraints}},
    year = {2013},
    journal = {Proceedings of the Sixth International Joint Conference on Natural Language Processing},
    author = {Hasan, Kazi Saidul and Ng, Vincent},
    number = {October},
    pages = {1348--1356}
}

@article{Walker2012a,
    title = {{Stance classification using dialogic properties of persuasion}},
    year = {2012},
    journal = {NAACL HLT 2012 - 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings},
    author = {Walker, Marilyn A. and Anand, Pranav and Abbott, Robert and Grant, Ricky},
    pages = {592--596},
    isbn = {1937284204}
}

@article{Schiller2021,
    title = {{Stance Detection Benchmark: How Robust is Your Stance Detection?}},
    year = {2021},
    journal = {KI - Kunstliche Intelligenz},
    author = {Schiller, Benjamin and Daxenberger, Johannes and Gurevych, Iryna},
    number = {3-4},
    pages = {329--341},
    volume = {35},
    doi = {10.1007/s13218-021-00714-w},
    issn = {16101987},
    arxivId = {2001.01565},
    keywords = {Multi-dataset learning, Robustness, Stance detection}
}

@inproceedings{Glandt2021,
    title = {{Stance Detection in COVID-19 Tweets}},
    year = {2021},
    booktitle = {ACL-IJCNLP},
    author = {Glandt, Kyle and Khanal, Sarthak and Li, Yingjie and Caragea, Doina and Caragea, Cornelia},
    pages = {1596--1611},
    doi = {10.18653/v1/2021.acl-long.127}
}

@article{ALDayel2021,
    title = {{Stance detection on social media: State of the art and trends}},
    year = {2021},
    journal = {Information Processing and Management},
    author = {ALDayel, Abeer and Magdy, Walid},
    number = {4},
    volume = {58},
    doi = {10.1016/j.ipm.2021.102597},
    issn = {03064573},
    arxivId = {2006.03644},
    keywords = {Social media, Stance, Stance classification, Stance detection}
}

@article{Augenstein2016,
    title = {{Stance detection with bidirectional conditional encoding}},
    year = {2016},
    journal = {EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings},
    author = {Augenstein, Isabelle and Rockt{\"{a}}schel, Tim and Vlachos, Andreas and Bontcheva, Kalina},
    pages = {876--885},
    isbn = {9781945626258},
    doi = {10.18653/v1/d16-1084},
    arxivId = {1606.05464}
}

@article{Saha2023,
    title = {{Stance Detection with Explanations}},
    year = {2023},
    journal = {Computational Linguistics},
    author = {Saha, Rudra Ranaje and Lakshmanan, Laks V. S. and Ng, Raymond T},
    number = {April}
}

@article{Kucuk2020,
    title = {{Stance detection: A survey}},
    year = {2020},
    journal = {ACM Computing Surveys},
    author = {K{\"{u}}{\c{c}}{\"{u}}k, Dilek and Fazli, C. A.N.},
    number = {1},
    volume = {53},
    doi = {10.1145/3369026},
    issn = {15577341},
    keywords = {Deep learning, Social media analysis, Stance detection, Twitter}
}

@article{Lai2018,
    title = {{Stance evolution and twitter interactions in an italian political debate}},
    year = {2018},
    journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    author = {Lai, Mirko and Patti, Viviana and Ruffo, Giancarlo and Rosso, Paolo},
    number = {July},
    pages = {15--27},
    volume = {10859 LNCS},
    isbn = {9783319919461},
    doi = {10.1007/978-3-319-91947-8{\_}2},
    issn = {16113349},
    keywords = {Homophily, Political debates, Stance, Twitter}
}

@inproceedings{Villa-Cox2020,
    title = {{Stance in Replies and Quotes (SRQ): A New Dataset For Learning Stance in Twitter Conversations}},
    year = {2020},
    booktitle = {AAAI},
    author = {Villa-Cox, Ramon and Kumar, Sumeet and Babcock, Matthew and Carley, Kathleen M.},
    url = {http://arxiv.org/abs/2006.00691},
    arxivId = {2006.00691}
}

@inproceedings{Khouja2020,
    title = {{Stance Prediction and Claim Verification: An Arabic Perspective}},
    year = {2020},
    booktitle = {Third Workshop on Fact Extraction and VERification (FEVER)},
    author = {Khouja, Jude},
    pages = {8--17},
    doi = {10.18653/v1/2020.fever-1.2},
    arxivId = {2005.10410}
}

@article{Hosseinia2020,
    title = {{Stance Prediction for Contemporary Issues: Data and Experiments}},
    year = {2020},
    author = {Hosseinia, Marjan and Dragut, Eduard and Mukherjee, Arjun},
    url = {http://arxiv.org/abs/2006.00052},
    arxivId = {2006.00052}
}

@inproceedings{Zheng2022stanceo,
    title = {{STANCEOSAURUS: Classifying Stance Towards Multicultural Misinformation}},
    year = {2022},
    booktitle = {EMNLP},
    author = {Zheng, Jonathan and Baheti, Ashutosh and Naous, Tarek and Xu, Wei and Ritter, Alan},
    url = {https://tinyurl.},
    arxivId = {arXiv:2210.15954v1}
}

@article{Kucher2020,
    title = {{StanceVis Prime: visual analysis of sentiment and stance in social media texts}},
    year = {2020},
    journal = {Journal of Visualization},
    author = {Kucher, Kostiantyn and Martins, Rafael M. and Paradis, Carita and Kerren, Andreas},
    publisher = {Springer Berlin Heidelberg},
    url = {https://doi.org/10.1007/s12650-020-00684-5},
    doi = {10.1007/s12650-020-00684-5},
    issn = {18758975},
    keywords = {Interaction, NLP, Opinion mining, Sentiment analysis, Sentiment visualization, Stance analysis, Stance visualization, Text analytics, Text visualization, Visualization}
}

@inproceedings{Alam2020a,
    title = {{Standardizing and Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing}},
    year = {2020},
    author = {Alam, Firoj and Sajjad, Hassan and Imran, Muhammad and Ofli, Ferda},
    url = {http://arxiv.org/abs/2004.06774},
    arxivId = {2004.06774}
}

@misc{Taori2023Alpaca,
    title = {{Stanford Alpaca: An Instruction-following LLaMA model}},
    year = {2023},
    booktitle = {GitHub repository},
    author = {Taori, Rohan and Gulrajani, Ishaan and Zhang, Tianyi and Dubois, Yann and Li, Xuechen and Guestrin, Carlos and Liang, Percy and Hashimoto, Tatsunori B},
    publisher = {GitHub},
    howpublished = {{\textbackslash}url{\{}https://github.com/tatsu-lab/stanford{\_}alpaca{\}}}
}

@inproceedings{Choi2018,
    title = {{StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation}},
    year = {2018},
    booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
    author = {Choi, Yunjey and Choi, Minje and Kim, Munyoung and Ha, Jung Woo and Kim, Sunghun and Choo, Jaegul},
    pages = {8789--8797},
    isbn = {9781538664209},
    doi = {10.1109/CVPR.2018.00916},
    issn = {10636919},
    arxivId = {1711.09020}
}

@inproceedings{page1967statistical,
    title = {{Statistical and linguistic strategies in the computer grading of essays}},
    year = {1967},
    booktitle = {COLING 1967 Volume 1: Conference internationale sur le traitement automatique des langues},
    author = {Page, Ellis B}
}

@article{Eacl2021,
    title = {{Stay Simple : Multi-Dimension Emotion Prediction leveraging Pre-Trained Language Models}},
    year = {2021},
    author = {Eacl, Anonymous},
    pages = {1--6}
}

@article{Wu2019,
    title = {{Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers}},
    year = {2019},
    author = {Wu, Liwei and Li, Shuqing and Hsieh, Cho-Jui and Sharpnack, James},
    number = {NeurIPS},
    pages = {1--11},
    url = {http://arxiv.org/abs/1905.10630},
    arxivId = {1905.10630}
}

@article{Rudin2019,
    title = {{Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead}},
    year = {2019},
    journal = {Nature Machine Intelligence},
    author = {Rudin, Cynthia},
    number = {5},
    pages = {206--215},
    volume = {1},
    doi = {10.1038/s42256-019-0048-x},
    issn = {25225839},
    arxivId = {1811.10154}
}

@article{Baan2022,
    title = {{Stop Measuring Calibration When Humans Disagree}},
    year = {2022},
    author = {Baan, Joris and Aziz, Wilker and Plank, Barbara and Fernandez, Raquel},
    url = {http://arxiv.org/abs/2210.16133},
    arxivId = {2210.16133}
}

@article{Wang2019e,
    title = {{StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding}},
    year = {2019},
    author = {Wang, Wei and Bi, Bin and Yan, Ming and Wu, Chen and Bao, Zuyi and Xia, Jiangnan and Peng, Liwei and Si, Luo},
    pages = {1--10},
    url = {http://arxiv.org/abs/1908.04577},
    arxivId = {1908.04577}
}

@article{Franklin2020,
    title = {{Structured Event Memory: A Neuro-Symbolic Model of Event Cognition}},
    year = {2020},
    journal = {Psychological Review},
    author = {Franklin, Nicholas T and Norman, Kenneth A and Ranganath, Charan and Zacks, Jeffrey M. and Gershman, Samuel J.},
    number = {3},
    pages = {327--361},
    volume = {127},
    doi = {10.1037/rev0000177},
    issn = {19391471},
    pmid = {32223284},
    keywords = {Bayesian nonparametric models, Event cognition, Latent structure, Memory, Neural networks}
}

@article{Hu2023a,
    title = {{Structured Probabilistic Coding}},
    year = {2023},
    author = {Hu, Dou and Wei, Lingwei and Liu, Yaxin and Zhou, Wei and Hu, Songlin},
    url = {http://arxiv.org/abs/2312.13933},
    arxivId = {2312.13933}
}

@article{Barnes2021,
    title = {{Structured sentiment analysis as dependency graph parsing}},
    year = {2021},
    journal = {ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference},
    author = {Barnes, Jeremy and Kurtz, Robin and Oepen, Stephan and {\O}vrelid, Lilja and Velldal, Erik},
    pages = {3387--3402},
    isbn = {9781954085527},
    doi = {10.18653/v1/2021.acl-long.263},
    arxivId = {2105.14504}
}

@article{Collins2022,
    title = {{Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks}},
    year = {2022},
    journal = {CogSci},
    author = {Collins, Katherine M and Wong, Catherine and Feng, Jiahai and Wei, Megan and Tenenbaum, Joshua B},
    arxivId = {arXiv:2205.05718v1}
}

@inproceedings{Serrano2023,
    title = {{Stubborn Lexical Bias in Data and Models}},
    year = {2023},
    booktitle = {Findings of ACL: ACL 2023},
    author = {Serrano, Sofia and Dodge, Jesse and Smith, Noah A.},
    pages = {8131--8146},
    url = {http://arxiv.org/abs/2306.02190},
    arxivId = {2306.02190}
}

@article{Li2020f,
    title = {{Studying Politeness across Cultures using English Twitter and Mandarin Weibo}},
    year = {2020},
    journal = {Proceedings of the ACM on Human-Computer Interaction},
    author = {Li, Mingyang and Hickman, Louis and Tay, Louis and Ungar, Lyle and Guntuku, Sharath Chandra},
    number = {CSCW2},
    volume = {4},
    doi = {10.1145/3415190},
    issn = {25730142},
    keywords = {computational linguistics, cultural difference, microblogs, politeness, social psychology, text mining, twitter, weibo}
}

@article{Wang2022f,
    title = {{SUPER-NATURALINSTRUCTIONS: Generalization via Declarative Instructions on 1600+ NLP Tasks}},
    year = {2022},
    journal = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022},
    author = {Wang, Yizhong and Mishra, Swaroop and Alipoormolabashi, Pegah and Kordi, Yeganeh and Mirzaei, Amirreza and Arunkumar, Anjana and Ashok, Arjun and Dhanasekaran, Arut Selvan and Naik, Atharva and Stap, David and Pathak, Eshaan and Karamanolakis, Giannis and Lai, Haizhi Gary and Purohit, Ishan and Mondal, Ishani and Anderson, Jacob and Kuznia, Kirby and Doshi, Krima and Patel, Maitreya and Pal, Kuntal Kumar and Moradshahi, Mehrad and Parmar, Mihir and Purohit, Mirali and Varshney, Neeraj and Kaza, Phani Rohitha and Verma, Pulkit and Puri, Ravsehaj Singh and Karia, Rushang and Sampat, Shailaja Keyur and Doshi, Savan and Mishra, Siddhartha and Reddy, Sujan and Patro, Sumanta and Dixit, Tanay and Shen, Xudong and Baral, Chitta and Choi, Yejin and Smith, Noah A. and Hajishirzi, Hannaneh and Khashabi, Daniel},
    pages = {5085--5109},
    doi = {10.18653/v1/2022.emnlp-main.340},
    arxivId = {2204.07705}
}

@article{Kiela2019,
    title = {{Supervised Multimodal Bitransformers for Classifying Images and Text}},
    year = {2019},
    author = {Kiela, Douwe and Bhooshan, Suvrat and Firooz, Hamed and Testuggine, Davide},
    arxivId = {arXiv:1909.02950v1}
}

@article{Cortes1995,
    title = {{Support-Vector Networks}},
    year = {1995},
    journal = {Machine Learning},
    author = {Cortes, Corinna and Vapnik, Vladimir},
    number = {3},
    pages = {273--297},
    volume = {20},
    doi = {10.1023/A:1022627411411},
    issn = {15730565},
    keywords = {efficient learning algorithms, neural networks, pattern recognition, polynomial classifiers, radial basis function classifiers}
}

@article{Tolmie2017,
    title = {{Supporting the use of user generated content in journalistic practice}},
    year = {2017},
    journal = {arXiv},
    author = {Tolmie, Peter and Procter, Rob and Randall, David William and Rouncefield, Mark and Burger, Christian and Hoi, Geraldine Wong Sak and Zubiaga, Arkaitz and Liakata, Maria},
    isbn = {9781450346559},
    issn = {23318422},
    keywords = {Collaborative work practices, Dashboard design, Ethnography, Journalism, Social media verification}
}

@article{Lan2024,
    title = {{Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends}},
    year = {2024},
    journal = {arxiv},
    author = {Lan, Yunshi and Li, Xinyuan and Du, Hanyue and Lu, Xuesong and Gao, Ming and Qian, Weining and Zhou, Aoying},
    url = {http://arxiv.org/abs/2401.07518},
    arxivId = {2401.07518}
}

@article{Ortis2020,
    title = {{Survey on visual sentiment analysis}},
    year = {2020},
    journal = {IET Image Processing},
    author = {Ortis, Alessandro and Farinella, Giovanni Maria and Battiato, Sebastiano},
    number = {8},
    pages = {1440--1456},
    volume = {14},
    doi = {10.1049/iet-ipr.2019.1270},
    issn = {17519659}
}

@inproceedings{Chen2020,
    title = {{SWAFN : Sentimental Words Aware Fusion Network for Multimodal Sentiment Analysis}},
    year = {2020},
    booktitle = {COLING},
    author = {Chen, Minping and Li, Xia},
    pages = {1067--1077}
}

@article{Fedus2021,
    title = {{Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity}},
    year = {2021},
    author = {Fedus, William and Zoph, Barret and Shazeer, Noam},
    pages = {1--31},
    url = {http://arxiv.org/abs/2101.03961},
    arxivId = {2101.03961}
}

@article{Wei2023,
    title = {{Symbol tuning improves in-context learning in language models}},
    year = {2023},
    author = {Wei, Jerry and Hou, Le and Lampinen, Andrew and Chen, Xiangning and Huang, Da and Tay, Yi and Chen, Xinyun and Lu, Yifeng and Zhou, Denny and Ma, Tengyu and Le, Quoc V.},
    volume = {1},
    url = {http://arxiv.org/abs/2305.08298},
    arxivId = {2305.08298}
}

@article{Li2023,
    title = {{Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step}},
    year = {2023},
    author = {Li, Liunian Harold and Hessel, Jack and Yu, Youngjae and Ren, Xiang and Chang, Kai-Wei and Choi, Yejin},
    pages = {2665--2679},
    volume = {1},
    url = {http://arxiv.org/abs/2306.14050},
    arxivId = {2306.14050}
}

@article{West2022,
    title = {{Symbolic Knowledge Distillation: from General Language Models to Commonsense Models}},
    year = {2022},
    journal = {NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference},
    author = {West, Peter and Bhagavatula, Chandra and Hessel, Jack and Hwang, Jena D. and Jiang, Liwei and Le Bras, Ronan and Lu, Ximing and Welleck, Sean and Choi, Yejin},
    pages = {4602--4625},
    isbn = {9781955917711},
    doi = {10.18653/v1/2022.naacl-main.341},
    arxivId = {2110.07178}
}

@article{Azizi2023,
    title = {{Synthetic Data from Diffusion Models Improves ImageNet Classification}},
    year = {2023},
    author = {Azizi, Shekoofeh and Kornblith, Simon and Saharia, Chitwan and Norouzi, Mohammad and Fleet, David J.},
    url = {http://arxiv.org/abs/2304.08466},
    arxivId = {2304.08466}
}

@inproceedings{Li2023c,
    title = {{Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations}},
    year = {2023},
    booktitle = {EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings},
    author = {Li, Zhuoyan and Zhu, Hangxiao and Lu, Zhuoran and Yin, Ming},
    pages = {10443--10461},
    isbn = {9798891760608},
    doi = {10.18653/v1/2023.emnlp-main.647},
    arxivId = {2310.07849}
}

@misc{Murtaza2023,
    title = {{Synthetic data generation: State of the art in health care domain}},
    year = {2023},
    booktitle = {Computer Science Review},
    author = {Murtaza, Hajra and Ahmed, Musharif and Khan, Naurin Farooq and Murtaza, Ghulam and Zafar, Saad and Bano, Ambreen},
    pages = {100546},
    volume = {48},
    publisher = {Elsevier Inc.},
    url = {https://doi.org/10.1016/j.cosrev.2023.100546},
    doi = {10.1016/j.cosrev.2023.100546},
    issn = {15740137},
    keywords = {Data privacy, Electronic health records, Generative adversarial networks, Health informatics, Medical informatics, Privacy preserving data publishing, Synthetic data}
}

@inproceedings{Hegselmann2023,
    title = {{TabLLM: Few-shot Classification of Tabular Data with Large Language Models}},
    year = {2023},
    booktitle = {Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS)},
    author = {Hegselmann, Stefan and Buendia, Alejandro and Lang, Hunter and Agrawal, Monica and Jiang, Xiaoyi and Sontag, David},
    pages = {5549--5581},
    volume = {206},
    issn = {26403498},
    arxivId = {2210.10723}
}

@inproceedings{Li2021a,
    title = {{Target-Aware Data Augmentation for Stance Detection}},
    year = {2021},
    booktitle = {NAACL},
    author = {Li, Yingjie and Caragea, Cornelia},
    pages = {1850--1860},
    doi = {10.18653/v1/2021.naacl-main.148}
}

@article{He2023,
    title = {{Targeted Data Generation: Finding and Fixing Model Weaknesses}},
    year = {2023},
    author = {He, Zexue and Ribeiro, Marco Tulio and Khani, Fereshte},
    url = {http://arxiv.org/abs/2305.17804},
    arxivId = {2305.17804}
}

@inproceedings{barriere-etal-2023-targeted,
    title = {{Targeted Image Data Augmentation Increases Basic Skills Captioning Robustness}},
    year = {2023},
    booktitle = {Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)},
    author = {Barriere, Valentin and Del Rio, Felipe and Carvallo, Andres and Aspillaga, Carlos and Herrera-Berg, Eugenio and Buc, Cristian},
    editor = {Gehrmann, Sebastian and Wang, Alex and Sedoc, João and Clark, Elizabeth and Dhole, Kaustubh and Chandu, Khyathi Raghavi and Santus, Enrico and Sedghamiz, Hooman},
    month = {12},
    pages = {243--257},
    publisher = {Association for Computational Linguistics},
    url = {https://aclanthology.org/2023.gem-1.21},
    address = {Singapore}
}

@inproceedings{Halder2020,
    title = {{Task-Aware Representation of Sentences for Generic Text Classification}},
    year = {2020},
    booktitle = {COLING},
    author = {Halder, Kishaloy and Akbik, Alan and Krapac, Josip and Vollgraf, Roland}
}

@article{calderon2018task,
    title = {{Task-relevant information modulates primary motor cortex activity before movement onset}},
    year = {2018},
    journal = {Frontiers in Human Neuroscience},
    author = {Calderon, Cristian B and Van Opstal, Filip and Peigneux, Philippe and Verguts, Tom and Gevers, Wim},
    pages = {93},
    volume = {12},
    publisher = {Frontiers Media SA}
}

@article{Villena-Roman2013,
    title = {{TASS - Workshop on sentiment analysis at SEPLN}},
    year = {2013},
    journal = {Procesamiento de Lenguaje Natural},
    author = {Villena-Rom{\'{a}}n, Julio and Lana-Serrano, Sara and Mart{\'{i}}nez-C{\'{a}}mara, Eugenio and Gonz{\'{a}}lez-Crist{\'{o}}bal, José Carlos},
    pages = {37--44},
    volume = {50},
    issn = {11355948},
    keywords = {Reputation analysis, Sentiment analysis, Social media, TASS}
}

@inproceedings{Hanley2023,
    title = {{TATA : Stance Detection via Topic-Agnostic and Topic-Aware Embeddings}},
    year = {2023},
    booktitle = {EMNLP},
    author = {Hanley, Hans W A and Durumeric, Zakir},
    pages = {11280--11294}
}

@article{Wiegreffe2021,
    title = {{Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing}},
    year = {2021},
    author = {Wiegreffe, Sarah and Marasovi{\'{c}}, Ana},
    number = {NeurIPS},
    url = {http://arxiv.org/abs/2102.12060},
    arxivId = {2102.12060}
}

@article{Hartill2023,
    title = {{Teaching Smaller Language Models To Generalise To Unseen Compositional Questions}},
    year = {2023},
    author = {Hartill, Tim and Tan, Neset and Witbrock, Michael and Riddle, Patricia J.},
    pages = {1--30},
    url = {http://arxiv.org/abs/2308.00946},
    arxivId = {2308.00946}
}

@inproceedings{Ghosh2022,
    title = {{Team IITP-AINLPML at WASSA 2022 : Empathy Detection , Emotion Classification and Personality Detection}},
    year = {2022},
    booktitle = {WASSA},
    author = {Ghosh, Soumitra and Maurya, Dhirendra and Ekbal, Asif and Bhattacharyya, Pushpak},
    number = {2020}
}

@article{Arjmand2021,
    title = {{TEASEL: A Transformer-Based Speech-Prefixed Language Model}},
    year = {2021},
    author = {Arjmand, Mehdi and Dousti, Mohammad Javad and Moradi, Hadi},
    url = {http://arxiv.org/abs/2109.05522},
    arxivId = {2109.05522}
}

@article{Hatfield2015,
    title = {{Temperature extremes: Effect on plant growth and development}},
    year = {2015},
    journal = {Weather and climate extremes},
    author = {Hatfield, J L and Prueger, H J}
}

@inproceedings{Rottger2021,
    title = {{Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media}},
    year = {2021},
    booktitle = {EMNLP},
    author = {R{\"{o}}ttger, Paul and Pierrehumbert, Janet},
    pages = {2400--2412},
    doi = {10.18653/v1/2021.findings-emnlp.206},
    arxivId = {2104.08116}
}

@article{Pelletier2019,
    title = {{Temporal convolutional neural network for the classification of satellite image time series}},
    year = {2019},
    journal = {Remote Sensing},
    author = {Pelletier, Charlotte and Webb, Geoffrey I and Petitjean, François},
    number = {5},
    pages = {1--22},
    volume = {11},
    doi = {10.3390/rs11050523},
    issn = {20724292},
    arxivId = {1811.10166},
    keywords = {Classification, Land cover mapping, Remote sensing, Satellite images, Temporal Convolutional Neural Network (TempCNN), Time series}
}

@article{Rubwurm2017,
    title = {{Temporal Vegetation Modelling Using Long Short-Term Memory Networks for Crop Identification from Medium-Resolution Multi-spectral Satellite Images}},
    year = {2017},
    journal = {IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops},
    author = {Rubwurm, Marc and K{\"{o}}rner, Marco},
    pages = {1496--1504},
    volume = {2017-July},
    isbn = {9781538607336},
    doi = {10.1109/CVPRW.2017.193},
    issn = {21607516}
}

@article{Capliez2023,
    title = {{Temporal-Domain Adaptation for Satellite Image Time-Series Land-Cover Mapping with Adversarial Learning and Spatially Aware Self-Training}},
    year = {2023},
    journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
    author = {Capliez, Emmanuel and Ienco, Dino and Gaetano, Raffaele and Baghdadi, Nicolas and Salah, Adrien Hadj},
    pages = {3645--3675},
    volume = {16},
    publisher = {IEEE},
    doi = {10.1109/JSTARS.2023.3263755},
    issn = {21511535},
    keywords = {Deep learning, land-cover mapping, satellite image time series (SITS), temporal-domain adaptation}
}

@article{Abadi2016,
    title = {{TensorFlow: A system for large-scale machine learning}},
    year = {2016},
    journal = {Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation, OSDI 2016},
    author = {Abadi, Martín and Barham, Paul and Chen, Jianmin and Chen, Zhifeng and Davis, Andy and Dean, Jeffrey and Devin, Matthieu and Ghemawat, Sanjay and Irving, Geoffrey and Isard, Michael and Kudlur, Manjunath and Levenberg, Josh and Monga, Rajat and Moore, Sherry and Murray, Derek G. and Steiner, Benoit and Tucker, Paul and Vasudevan, Vijay and Warden, Pete and Wicke, Martin and Yu, Yuan and Zheng, Xiaoqiang},
    pages = {265--283},
    isbn = {9781931971331},
    arxivId = {1605.08695}
}

@inproceedings{Wei2021b,
    title = {{Text Augmentation in a Multi-Task View}},
    year = {2021},
    booktitle = {EACL},
    author = {Wei, Jason and Huang, Chengyu and Xu, Shiqi and Vosoughi, Soroush},
    pages = {2888--2894}
}

@article{Sharma2024,
    title = {{Text Quality-Based Pruning for Efficient Training of Language Models}},
    year = {2024},
    author = {Sharma, Vasu and Padthe, Karthik and Ardalani, Newsha and Tirumala, Kushal and Howes, Russell and Xu, Hu and Huang, Po-Yao and Li, Shang-Wen and Aghajanyan, Armen and Ghosh, Gargi and Zettlemoyer, Luke},
    url = {http://arxiv.org/abs/2405.01582},
    arxivId = {2405.01582}
}

@article{Gunasekar2023textbooks,
    title = {{Textbooks Are All You Need}},
    year = {2023},
    author = {Gunasekar, Suriya and Zhang, Yi and Aneja, Jyoti and Cesar, Caio and Mendes, Teodoro and Giorno, Allie Del and Gopi, Sivakanth and Javaheripi, Mojan and Kauffmann, Piero and de Rosa, Gustavo and Saarikivi, Olli and Salim, Adil and Shah, Shital and Singh B, Yuanzhi},
    pages = {1--26},
    url = {https://www.microsoft.com/en-us/research/publication/textbooks-are-all-you-need/},
    arxivId = {arXiv:2306.11644v2}
}

@article{Hassid2023,
    title = {{Textually Pretrained Speech Language Models}},
    year = {2023},
    journal = {Advances in Neural Information Processing Systems},
    author = {Hassid, Michael and Remez, Tal and Conneau, Alexis and Kreuk, Felix and Nguyen, Tu Anh and Gat, Itai and Copet, Jade and Defossez, Alexandre and Synnaeve, Gabriel and Dupoux, Emmanuel and Schwartz, Roy and Adi, Yossi},
    number = {NeurIPS},
    volume = {36},
    issn = {10495258},
    arxivId = {2305.13009}
}

@inproceedings{Hummos2022,
    title = {{Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representations}},
    year = {2023},
    booktitle = {ICLR},
    author = {Hummos, Ali},
    url = {http://arxiv.org/abs/2205.11713},
    arxivId = {2205.11713}
}

@article{Wang2015b,
    title = {{That's so annoying!!!: A lexical and frame-semantic embedding based data augmentation approach to automatic categorization of annoying behaviors using {\#}petpeeve tweets}},
    year = {2015},
    journal = {Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing},
    author = {Wang, William Yang and Yang, Diyi},
    number = {September},
    pages = {2557--2563},
    isbn = {9781941643327},
    doi = {10.18653/v1/d15-1306}
}

@article{Jurgens2013,
    title = {{That's what friends are for: Inferring location in online social media platforms based on social relationships}},
    year = {2013},
    journal = {Proceedings of the 7th International Conference on Weblogs and Social Media, ICWSM 2013},
    author = {Jurgens, David},
    pages = {273--282},
    keywords = {Full Paper}
}

@article{Plank2022,
    title = {{The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation}},
    year = {2022},
    author = {Plank, Barbara},
    number = {Mcml},
    url = {http://arxiv.org/abs/2211.02570},
    arxivId = {2211.02570}
}

@article{Mathet2017,
    title = {{The Agreement Measure {$\gamma$}cat a Complement to {$\gamma$} Focused on Categorization of a Continuum}},
    year = {2017},
    journal = {Computational Linguistics},
    author = {Mathet, Yann},
    number = {3},
    pages = {661--681},
    volume = {43},
    isbn = {0940898810},
    doi = {10.1162/COLI},
    issn = {0891-2017},
    pmid = {22251136},
    arxivId = {arXiv:1011.1669v3},
    keywords = {and, any article, as having mentioned bayesian, bayes, bayesian statistics was coded, in the context of, markov chain, mcmc, one of these terms, posterior, prior distribution, prior probability, that mentioned at least}
}

@inproceedings{Habernal2018,
    title = {{The argument reasoning comprehension task: Identification and reconstruction of implicitwarrants}},
    year = {2018},
    booktitle = {NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference},
    author = {Habernal, Ivan and Wachsmuth, Henning and Gurevych, Iryna and Stein, Benno},
    pages = {1930--1940},
    volume = {1},
    isbn = {9781948087278},
    doi = {10.18653/v1/n18-1175},
    arxivId = {1708.01425}
}

@article{Passonneau2013,
    title = {{The benefits of a model of annotation}},
    year = {2013},
    journal = {LAW 2013 and ID 2013 - 7th Linguistic Annotation Workshop and Interoperability with Discourse, Proceedings of the Workshop},
    author = {Passonneau, Rebecca J. and Carpenter, Bob},
    pages = {187--195},
    volume = {2},
    isbn = {9781937284589},
    doi = {10.1162/tacl{\_}a{\_}00185},
    issn = {2307-387X}
}

@article{Song2017a,
    title = {{The Brown and Levinson theory revisited: A statistical analysis}},
    year = {2017},
    journal = {Language Sciences},
    author = {Song, Sooho},
    pages = {66--75},
    volume = {62},
    publisher = {Elsevier Ltd},
    url = {http://dx.doi.org/10.1016/j.langsci.2017.03.006},
    doi = {10.1016/j.langsci.2017.03.006},
    issn = {03880001},
    keywords = {Brown and Levin's Politeness Theory, Cultural difference, Power, Social distance, Task imposition}
}

@article{Yang2024a,
    title = {{The Call for Socially Aware Language Technologies}},
    year = {2024},
    author = {Yang, Diyi and Hovy, Dirk and Jurgens, David and Plank, Barbara},
    url = {http://arxiv.org/abs/2405.02411},
    arxivId = {2405.02411}
}

@article{garreaud2020central,
    title = {{The Central Chile Mega Drought (2010-2018): A climate dynamics perspective}},
    year = {2020},
    journal = {International Journal of Climatology},
    author = {Garreaud, Rene D},
    pages = {421--439},
    volume = {40},
    doi = {10.1002/joc.6219}
}

@article{brame1974cycle,
    title = {{The cycle in phonology: stress in Palestinian, Maltese, and Spanish}},
    year = {1974},
    journal = {Linguistic Inquiry},
    author = {Brame, Michael K},
    number = {1},
    pages = {39--60},
    volume = {5},
    publisher = {JSTOR}
}

@inproceedings{Joshi2020,
    title = {{The Devil is in the Details : Evaluating Limitations of Transformer-based Methods for Granular Tasks}},
    year = {2020},
    booktitle = {COLING},
    author = {Joshi, Brihi and Shah, Neil and Barbieri, Francesco and Neves, Leonardo},
    pages = {3652--3659}
}

@article{Shiota2020,
    title = {{The Discussion Corpus toward Argumentation Quality Assessment in Multi-Party Conversation}},
    year = {2020},
    journal = {Proceedings - 2020 9th International Congress on Advanced Applied Informatics, IIAI-AAI 2020},
    author = {Shiota, Tsukasa and Shimada, Kazutaka},
    pages = {280--283},
    isbn = {9781728173979},
    doi = {10.1109/IIAI-AAI50415.2020.00062},
    keywords = {argumentation quality assessment, conversation understanding, multi-party discussion corpus, rhetorical quality}
}

@article{Olshefski2020,
    title = {{The discussion tracker corpus of collaborative argumentation}},
    year = {2020},
    journal = {LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings},
    author = {Olshefski, Christopher and Lugini, Luca and Singh, Ravneet and Litman, Diane and Godley, Amanda},
    pages = {1033--1043},
    isbn = {9791095546344},
    arxivId = {2005.11344},
    keywords = {Corpus, Discourse, Text mining}
}

@article{Gratch2014,
    title = {{The distress analysis interview corpus of human and computer interviews}},
    year = {2014},
    journal = {Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014},
    author = {Gratch, Jonathan and Artstein, Ron and Lucas, Gale and Stratou, Giota and Scherer, Stefan and Nazarian, Angela and Wood, Rachel and Boberg, Jill and De Vault, David and Marsella, Stacy and Traum, David and Rizzo, Skip and Morency, Louis-Philippe},
    pages = {3123--3128},
    isbn = {9782951740884},
    keywords = {Dialogue systems, Multimodal corpora, Nonverbal behavior, Virtual humans}
}

@article{Karadzhov2024,
    title = {{The effect of diversity on group decision-making}},
    year = {2024},
    author = {Karadzhov, Georgi and Vlachos, Andreas and Stafford, Tom},
    url = {http://arxiv.org/abs/2402.01427},
    arxivId = {2402.01427},
    keywords = {collaboration, decision-making, group deliberation}
}

@article{Zalake2021,
    title = {{The effects of virtual human's verbal persuasion strategies on user intention and behavior}},
    year = {2021},
    journal = {International Journal of Human Computer Studies},
    author = {Zalake, Mohan and Siqueira, Alexandre Gomes de and Vaddiparti, Krishna and Lok, Benjamin},
    number = {August},
    pages = {102708},
    volume = {156},
    publisher = {Elsevier Ltd},
    url = {https://doi.org/10.1016/j.ijhcs.2021.102708},
    doi = {10.1016/j.ijhcs.2021.102708},
    issn = {10959300},
    keywords = {Behavior change, Cialdini, Health, Personality, Persuasion, Virtual humans}
}

@article{VanderVelde2019,
    title = {{The European crop monitoring and yield forecasting system: Celebrating 25 years of JRC MARS Bulletins}},
    year = {2019},
    journal = {Agricultural Systems},
    author = {van der Velde, M. and van Diepen, C. A. and Baruth, B.},
    number = {November 2018},
    pages = {56--57},
    volume = {168},
    publisher = {Elsevier},
    url = {https://doi.org/10.1016/j.agsy.2018.10.003},
    doi = {10.1016/j.agsy.2018.10.003},
    issn = {0308521X}
}

@article{shi2020evolution,
    title = {{The evolution of LGBT labelling words: Tracking 150 years of the interaction of semantics with social and cultural changes}},
    year = {2020},
    journal = {English Today},
    author = {Shi, Yaqian and Lei, Lei},
    number = {4},
    pages = {33--39},
    volume = {36},
    publisher = {Cambridge University Press}
}

@article{Wadekar2024,
    title = {{The Evolution of Multimodal Model Architectures}},
    year = {2024},
    author = {Wadekar, Shakti N. and Chaurasia, Abhishek and Chadha, Aman and Culurciello, Eugenio},
    url = {http://arxiv.org/abs/2405.17927},
    arxivId = {2405.17927}
}

@article{Penedo2024,
    title = {{The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale}},
    year = {2024},
    author = {Penedo, Guilherme and Kydl{\'{i}}{\v{c}}ek, Hynek and Allal, Loubna Ben and Lozhkov, Anton and Mitchell, Margaret and Raffel, Colin and Von Werra, Leandro and Wolf, Thomas},
    url = {http://arxiv.org/abs/2406.17557},
    arxivId = {2406.17557}
}

@inproceedings{Longpre2023,
    title = {{The Flan Collection: Designing Data and Methods for Effective Instruction Tuning}},
    year = {2023},
    booktitle = {Proceedings of Machine Learning Research},
    author = {Longpre, Shayne and Hou, Le and Vu, Tu and Webson, Albert and Chung, Hyung Won and Tay, Yi and Zhou, Denny and Le, Quoc V. and Zoph, Barret and Wei, Jason and Roberts, Adam},
    pages = {22631--22648},
    volume = {202},
    issn = {26403498},
    arxivId = {2301.13688}
}

@article{Yuan2025,
    title = {{The Future Outcome Reasoning and Confidence Assessment Benchmark}},
    year = {2025},
    author = {Yuan, Zhangdie and Ding, Zifeng and Vlachos, Andreas},
    url = {http://arxiv.org/abs/2502.19676},
    arxivId = {2502.19676}
}

@article{Muehlenbernd2019,
    title = {{The Game Theory of Politeness in Language: A Formal Model of Polite Requests}},
    year = {2019},
    author = {Muehlenbernd, Roland and Zywiczynski, Przemyslaw and Wacewicz, Sławomir},
    number = {2},
    pages = {1--28},
    keywords = {alignment of interests, evolutionay signaling theory, game theory, linguistic politeness, polite requests, politeness equilibrium principle, rate of imposition}
}

@article{Kaneko2024,
    title = {{The Gaps between Pre-train and Downstream Settings in Bias Evaluation and Debiasing}},
    year = {2024},
    author = {Kaneko, Masahiro and Bollegala, Danushka and Baldwin, Timothy},
    url = {http://arxiv.org/abs/2401.08511},
    arxivId = {2401.08511}
}

@article{Dan-Glauser2011,
    title = {{The Geneva affective picture database (GAPED): A new 730-picture database focusing on valence and normative significance}},
    year = {2011},
    journal = {Behavior Research Methods},
    author = {Dan-Glauser, Elise S. and Scherer, Klaus R.},
    number = {2},
    pages = {468--477},
    volume = {43},
    doi = {10.3758/s13428-011-0064-1},
    issn = {1554351X},
    keywords = {Emotion induction, Normative significance, Picture database, Snakes, Spiders}
}

@article{Potapov2022,
    title = {{The Global 2000-2020 Land Cover and Land Use Change Dataset Derived From the Landsat Archive: First Results}},
    year = {2022},
    journal = {Frontiers in Remote Sensing},
    author = {Potapov, Peter and Hansen, Matthew C. and Pickens, Amy and Hernandez-Serna, Andres and Tyukavina, Alexandra and Turubanova, Svetlana and Zalles, Viviana and Li, Xinyuan and Khan, Ahmad and Stolle, Fred and Harris, Nancy and Song, Xiao Peng and Baggett, Antoine and Kommareddy, Indrani and Kommareddy, Anil},
    number = {April},
    pages = {1--22},
    volume = {3},
    doi = {10.3389/frsen.2022.856903},
    issn = {26736187},
    keywords = {Landsat, cropland, forest, land cover, land use, snow cover, surface water, urbanization}
}

@article{claverie2018harmonized,
    title = {{The Harmonized Landsat and Sentinel-2 surface reflectance data set}},
    year = {2018},
    journal = {Remote sensing of environment},
    author = {Claverie, Martin and Ju, Junchang and Masek, Jeffrey G and Dungan, Jennifer L and Vermote, Eric F and Roger, Jean-Claude and Skakun, Sergii V and Justice, Christopher},
    pages = {145--161},
    volume = {219},
    publisher = {Elsevier}
}

@article{Kiela2020,
    title = {{The hateful memes challenge: Detecting hate speech in multimodal memes}},
    year = {2020},
    journal = {arXiv},
    author = {Kiela, Douwe and Firooz, Hamed and Mohan, Aravind and Goswami, Vedanuj and Singh, Amanpreet and Ringshia, Pratik and Testuggine, Davide},
    pages = {1--17},
    issn = {23318422},
    arxivId = {2005.04790}
}

@misc{Hamner2012,
    title = {{The Hewlett Foundation: Automated Essay Scoring. Kaggle}},
    year = {2012},
    author = {Hamner, Ben and Morgan, Jaison and {Lynnvandev} and Shermis, Mark and Vander Ark, Tom},
    url = {https://kaggle.com/competitions/asap-aes}
}

@article{page1966imminence,
    title = {{The imminence of... grading essays by computer}},
    year = {1966},
    journal = {The Phi Delta Kappan},
    author = {Page, Ellis B},
    number = {5},
    pages = {238--243},
    volume = {47},
    publisher = {JSTOR}
}

@article{Klie2018,
    title = {{The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation}},
    year = {2018},
    journal = {Proceedings of the International Conference on Computational Linguistics},
    author = {Klie, Jan-Christoph and Bugert, Michael and Boullosa, Beto and de Castilho, Richard Eckart and Gurevych, Iryna},
    pages = {5--9},
    url = {http://tubiblio.ulb.tu-darmstadt.de/106270/%0Ahttps://www.youtube.com/watch?v=Xz3Hs8Lyoeg%0Ahttps://inception-project.github.io/publications/},
    keywords = {UKP{\_}a{\_}LangTech4eHum, UKP{\_}p{\_}INCEpTION, UKP{\_}reviewed}
}

@inproceedings{Schuller2009a,
    title = {{The INTERSPEECH 2009 emotion challenge}},
    year = {2009},
    booktitle = {Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH},
    author = {Schuller, Björn and Steidl, Stefan and Batliner, Anton},
    pages = {312--315},
    isbn = {978-1-61567-692-7},
    issn = {19909772},
    keywords = {Challenge, Classification, Emotion, Feature types}
}

@inproceedings{Schuller2016,
    title = {{The INTERSPEECH 2016 Computational Paralinguistics Challenge: Deception, Sincerity {\&} Native Language}},
    year = {2016},
    booktitle = {Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH},
    author = {Schuller, Björn and Steidl, Stefan and Batliner, Anton and Hirschberg, Julia and Burgoon, Judee K. and Baird, Alice and Elkins, Aaron and Zhang, Yue and Coutinho, Eduardo and Evanini, Keelan}
}

@article{Visualizations,
    title = {{The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models}},
    author = {Visualizations, Interactive and Models, N L P and Tenney, Ian and Wexler, James and Bastings, Jasmijn and Bolukbasi, Tolga and Coenen, Andy and Gehrmann, Sebastian and Jiang, Ellen and Pushkarna, Mahima and Radebaugh, Carey and Reif, Emily and Yuan, Ann},
    arxivId = {arXiv:2008.05122v1}
}

@article{Marjani2023,
    title = {{THE LARGE-SCALE WILDFIRE SPREAD PREDICTION USING A MULTI-KERNEL CONVOLUTIONAL NEURAL NETWORK}},
    year = {2023},
    journal = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
    author = {Marjani, M and Mesgari, M S},
    number = {February},
    pages = {483--488},
    volume = {X-4/W1-202},
    doi = {10.5194/isprs-annals-x-4-w1-2022-483-2023},
    issn = {21949050},
    keywords = {convolutional neural network, deep learning, forest fire, machine learning, multi-kernel cnn, wildfire}
}

@article{AlKhamissi2024a,
    title = {{The LLM Language Network: A Neuroscientific Approach for Identifying Causally Task-Relevant Units}},
    year = {2024},
    author = {AlKhamissi, Badr and Tuckute, Greta and Bosselut, Antoine and Schrimpf, Martin},
    url = {http://arxiv.org/abs/2411.02280},
    arxivId = {2411.02280}
}

@article{Kiesel2021,
    title = {{The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases}},
    year = {2021},
    journal = {ACM CUI'21},
    author = {Kiesel, Johannes and Spina, Damiano and Wachsmuth, Henning and Stein, Benno},
    isbn = {9781450389983},
    doi = {10.1145/3469595.3469615},
    keywords = {argument search, cognitive bias, conversational search, intelligent assistants, selection bias}
}

@inproceedings{Soleymani2013,
    title = {{The MediaEval 2013 brave new task: Emotion in music}},
    year = {2013},
    booktitle = {Working Notes Proceedings of the MediaEval 2015 Workshop},
    author = {Soleymani, M. and Caro, M. N. and Schmidt, E. M. and Yang, Y. H.},
    volume = {1043},
    issn = {16130073}
}

@article{Petukhova2018lrec,
    title = {{The metalogue debate trainee corpus: Data collection and annotations}},
    year = {2018},
    journal = {LREC 2018 - 11th International Conference on Language Resources and Evaluation},
    author = {Petukhova, Volha and Malchanau, Andrei and Oualil, Youssef and Klakow, Dietrich and Luz, Saturnino and Haider, Fasih and Campbell, Nick and Koryzis, Dimitris and Spiliotopoulos, Dimitris and Albert, Pierre and Linz, Nicklas and Alexandersson, Jan},
    pages = {749--755},
    isbn = {9791095546009},
    keywords = {Debate argumentation, ISO standard annotations, Multimodal data collection}
}

@inproceedings{Alshomary2022,
    title = {{The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments}},
    year = {2022},
    booktitle = {acl},
    author = {Alshomary, Milad and Baff, Roxanne El and Gurcke, Timon and Wachsmuth, Henning},
    pages = {8782--8797},
    volume = {1},
    url = {http://arxiv.org/abs/2203.14563},
    arxivId = {2203.14563}
}

@article{Keung2020,
    title = {{The Multilingual Amazon Reviews Corpus}},
    year = {2020},
    author = {Keung, Phillip and Lu, Yichao and Szarvas, György and Smith, Noah A.},
    url = {http://arxiv.org/abs/2010.02573},
    arxivId = {2010.02573}
}

@article{Bischke2017,
    title = {{The multimedia satellite task at mediaeval 2017: Emergency response for flooding events}},
    year = {2017},
    journal = {CEUR Workshop Proceedings},
    author = {Bischke, Benjamin and Helber, Patrick and Schulze, Christian and Srinivasan, Venkat and Dengel, Andreas and Borth, Damian},
    number = {September},
    pages = {13--15},
    volume = {1984},
    issn = {16130073}
}

@article{Bischke2018,
    title = {{The multimedia satellite task at MediaEval 2018 emergency response for flooding events}},
    year = {2018},
    journal = {CEUR Workshop Proceedings},
    author = {Bischke, Benjamin and Helber, Patrick and Zhao, Zhengyu and De Bruijn, Jens and Borth, Damian},
    pages = {4--6},
    volume = {2283},
    issn = {16130073}
}

@article{Marchewka2014,
    title = {{The Nencki Affective Picture System (NAPS): Introduction to a novel, standardized, wide-range, high-quality, realistic picture database}},
    year = {2014},
    journal = {Behavior Research Methods},
    author = {Marchewka, Artur and {\.{Z}}urawski, Łukasz and Jednor{\'{o}}g, Katarzyna and Grabowska, Anna},
    number = {2},
    pages = {596--610},
    volume = {46},
    doi = {10.3758/s13428-013-0379-1},
    issn = {15543528},
    keywords = {Affective ratings, Affective visual stimuli, Emotion induction, Gender differences, International Affective Picture System, Nencki Affective Picture System, Physical properties, Picture database}
}

@inproceedings{Cafaro2017,
    title = {{The NoXi database: multimodal recordings of mediated novice-expert interactions}},
    year = {2017},
    booktitle = {ICMI},
    author = {Cafaro, Angelo and Wagner, Johannes and Baur, Tobias and Dermouche, Soumia and Torres Torres, Mercedes and Pelachaud, Catherine and Andr{\'{e}}, Elisabeth and Valstar, Michel}
}

@article{kuznetsova2020open,
    title = {{The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale}},
    year = {2020},
    journal = {International journal of computer vision},
    author = {Kuznetsova, Alina and Rom, Hassan and Alldrin, Neil and Uijlings, Jasper and Krasin, Ivan and Pont-Tuset, Jordi and Kamali, Shahab and Popov, Stefan and Malloci, Matteo and Kolesnikov, Alexander and {others}},
    number = {7},
    pages = {1956--1981},
    volume = {128},
    publisher = {Springer}
}

@misc{LAION2023,
    title = {{The Open-Instruction-Generalist Dataset}},
    year = {2023},
    booktitle = {https://laion.ai/blog/oig-dataset/},
    author = {{LAION}},
    url = {https://github.com/LAION-AI/Open-Instruction-Generalist}
}

@article{Everingham2010,
    title = {{The pascal visual object classes (VOC) challenge}},
    year = {2010},
    journal = {International Journal of Computer Vision},
    author = {Everingham, Mark and Van Gool, Luc and Williams, Christopher K.I. and Winn, John and Zisserman, Andrew},
    number = {2},
    pages = {303--338},
    volume = {88},
    doi = {10.1007/s11263-009-0275-4},
    issn = {09205691},
    keywords = {Benchmark, Database, Object detection, Object recognition}
}

@article{Fleisig2024,
    title = {{The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels}},
    year = {2024},
    author = {Fleisig, Eve and Blodgett, Su Lin and Klein, Dan and Talat, Zeerak},
    url = {http://arxiv.org/abs/2405.05860},
    arxivId = {2405.05860}
}

@article{Gao2020,
    title = {{The Pile: An 800GB Dataset of Diverse Text for Language Modeling}},
    year = {2020},
    author = {Gao, Leo and Biderman, Stella and Black, Sid and Golding, Laurence and Hoppe, Travis and Foster, Charles and Phang, Jason and He, Horace and Thite, Anish and Nabeshima, Noa and Presser, Shawn and Leahy, Connor},
    url = {http://arxiv.org/abs/2101.00027},
    arxivId = {2101.00027}
}

@article{Benali2023,
    title = {{The Portuguese Large Wildfire Spread Database (PT-FireSprd)}},
    year = {2023},
    journal = {Preprint},
    author = {Benali, Akli and Guiomar, Nuno and Gon{\c{c}}alves, Hugo and Mota, Bernardo and Silva, Fábio and Fernandes, Paulo M and Mota, Carlos and Penha, Alexandre and Santos, João and Pereira, José M C and S{\'{a}}, Ana C L},
    pages = {3791--3818},
    keywords = {airborne, fire behaviour, fire radiative energy, graphs, ground, progression 38 39, rate of spread, satellite}
}

@inproceedings{Ma2024,
    title = {{The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models}},
    year = {2024},
    booktitle = {EMNLP},
    author = {Ma, Bolei and Plank, Barbara},
    arxivId = {arXiv:2406.11096v3}
}

@article{Lester2021,
    title = {{The Power of Scale for Parameter-Efficient Prompt Tuning}},
    year = {2021},
    author = {Lester, Brian and Al-Rfou, Rami and Constant, Noah},
    url = {http://arxiv.org/abs/2104.08691},
    doi = {10.18653/v1/2021.emnlp-main.243},
    arxivId = {2104.08691}
}

@article{Cage2020,
    title = {{The Production of Information in an Online World}},
    year = {2020},
    journal = {The Review of Economic Studies},
    author = {Cag{\'{e}}, Julia and Herv{\'{e}}, Nicolas and Viaud, Marie-Luce},
    number = {5},
    pages = {2126--2164},
    volume = {87},
    doi = {10.1093/restud/rdz061},
    issn = {0034-6527}
}

@article{Penedo2023,
    title = {{The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only}},
    year = {2023},
    author = {Penedo, Guilherme and Malartic, Quentin and Hesslow, Daniel and Cojocaru, Ruxandra and Cappelli, Alessandro and Alobeidli, Hamza and Pannier, Baptiste and Almazrouei, Ebtesam and Launay, Julien},
    url = {http://arxiv.org/abs/2306.01116},
    arxivId = {2306.01116}
}

@article{Rose2002,
    title = {{The reuters corpus volume 1 - From yesterday's news to tomorrow's language resources}},
    year = {2002},
    journal = {Proceedings of the 3rd International Conference on Language Resources and Evaluation, LREC 2002},
    author = {Rose, Tony and Stevenson, Mark and Whitehead, Miles},
    pages = {827--833},
    volume = {1}
}

@article{Xi2023,
    title = {{The Rise and Potential of Large Language Model Based Agents: A Survey}},
    year = {2023},
    author = {Xi, Zhiheng and Chen, Wenxiang and Guo, Xin and He, Wei and Ding, Yiwen and Hong, Boyang and Zhang, Ming and Wang, Junzhe and Jin, Senjie and Zhou, Enyu and Zheng, Rui and Fan, Xiaoran and Wang, Xiao and Xiong, Limao and Zhou, Yuhao and Wang, Weiran and Jiang, Changhao and Zou, Yicheng and Liu, Xiangyang and Yin, Zhangyue and Dou, Shihan and Weng, Rongxiang and Cheng, Wensen and Zhang, Qi and Qin, Wenjuan and Zheng, Yongyan and Qiu, Xipeng and Huang, Xuanjing and Gui, Tao},
    url = {http://arxiv.org/abs/2309.07864},
    arxivId = {2309.07864}
}

@article{Shaar2021,
    title = {{The Role of Context in Detecting Previously Fact-Checked Claims}},
    year = {2021},
    author = {Shaar, Shaden and Alam, Firoj and Martino, Giovanni Da San and Nakov, Preslav},
    url = {http://arxiv.org/abs/2104.07423},
    arxivId = {2104.07423}
}

@article{Carlini2018,
    title = {{The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks}},
    year = {2018},
    author = {Carlini, Nicholas and Liu, Chang and Erlingsson, Úlfar and Kos, Jernej and Song, Dawn},
    url = {http://arxiv.org/abs/1802.08232},
    arxivId = {1802.08232}
}

@article{McKeown2012,
    title = {{The SEMAINE database: Annotated multimodal records of emotionally colored conversations between a person and a limited agent}},
    year = {2012},
    journal = {IEEE Transactions on Affective Computing},
    author = {McKeown, Gary and Valstar, Michel and Cowie, Roddy and Pantic, Maja and Schr{\"{o}}der, Marc},
    number = {1},
    pages = {5--17},
    volume = {3},
    isbn = {1949-3045},
    doi = {10.1109/T-AFFC.2011.20},
    issn = {19493045},
    keywords = {Emotional corpora, affective annotation, affective computing, social signal processing}
}

@article{Kocetkov2022,
    title = {{The Stack: 3 TB of permissively licensed source code}},
    year = {2022},
    journal = {Transactions on Machine Learning Research},
    author = {Kocetkov, Denis and Li, Raymond and Allal, Loubna Ben and Li, Jia and Mou, Chenghao and Ferrandis, Carlos Muñoz and Jernite, Yacine and Mitchell, Margaret and Hughes, Sean and Wolf, Thomas and Bahdanau, Dzmitry and von Werra, Leandro and de Vries, Harm},
    pages = {1--27},
    url = {http://arxiv.org/abs/2211.15533 https://github.com/ChenghaoMou/text-dedup},
    arxivId = {2211.15533}
}

@article{Selvam2022,
    title = {{The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks}},
    year = {2023},
    journal = {ACL},
    author = {Selvam, Nikil Roashan and Dev, Sunipa and Khashabi, Daniel and Khot, Tushar and Chang, Kai-Wei},
    pages = {1373--1386},
    volume = {2},
    url = {http://arxiv.org/abs/2210.10040},
    arxivId = {2210.10040}
}

@article{Anderson2013,
    title = {{The TARDIS framework: Intelligent virtual agents for social coaching in job interviews}},
    year = {2013},
    journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    author = {Anderson, Keith and Andr{\'{e}}, Elisabeth and Baur, T. and Bernardini, Sara and Chollet, M. and Chryssafidou, E. and Damian, I. and Ennis, C. and Egges, A. and Gebhard, P. and Jones, H. and Ochs, M. and Pelachaud, C. and Porayska-Pomsta, Kaśka and Rizzo, P. and Sabouret, Nicolas},
    pages = {476--491},
    volume = {8253 LNCS},
    isbn = {9783319031606},
    doi = {10.1007/978-3-319-03161-3{\_}35},
    issn = {03029743}
}

@inproceedings{Mirzakhmedova202,
    title = {{The Touch{\'{e}}23-ValueEval Dataset for Identifying Human Values behind Arguments}},
    year = {2024},
    booktitle = {LREC-COLING},
    author = {Mirzakhmedova, Nailia and Kiesel, Johannes and Alshomary, Milad and Heinrich, Maximilian and Handke, Nicolas and Cai, Xiaoni and Barriere, Valentin and Dastgheib, Doratossadat and Ghahroodi, Omid and Sadraei, Mohammad Ali and Asgari, Ehsaneddin and Kawaletz, Lea and Wachsmuth, Henning and Stein, Benno},
    url = {http://arxiv.org/abs/2301.13771},
    arxivId = {2301.13771}
}

@article{calderon2018unfolding,
    title = {{The unfolding action model of initiation times, movement times, and movement paths.}},
    year = {2018},
    journal = {Psychological review},
    author = {Calderon, Cristian Buc and Gevers, Wim and Verguts, Tom},
    number = {5},
    pages = {785},
    volume = {125},
    publisher = {American Psychological Association}
}

@article{Mathet2015,
    title = {{The Unified and Holistic Method Gamma ({$\gamma$}) for Inter-Annotator Agreement Measure and Alignment}},
    year = {2015},
    journal = {Computational Linguistics},
    author = {Mathet, Yann and Widl{\"{o}}cher, Antoine and M{\'{e}}tivier, Jean-Philippe},
    number = {3},
    pages = {437--479},
    volume = {41},
    isbn = {0940898810},
    doi = {10.1162/COLI},
    issn = {0891-2017},
    pmid = {22251136},
    arxivId = {arXiv:1011.1669v3},
    keywords = {and, any article, as having mentioned bayesian, bayes, bayesian statistics was coded, in the context of, markov chain, mcmc, one of these terms, posterior, prior distribution, prior probability, that mentioned at least}
}

@article{Lin2023,
    title = {{The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning}},
    year = {2023},
    author = {Lin, Bill Yuchen and Ravichander, Abhilasha and Lu, Ximing and Dziri, Nouha and Sclar, Melanie and Chandu, Khyathi and Bhagavatula, Chandra and Choi, Yejin},
    pages = {1--26},
    volume = {4},
    url = {http://arxiv.org/abs/2312.01552},
    arxivId = {2312.01552}
}

@article{Fu2022,
    title = {{There is a Time and Place for Reasoning Beyond the Image}},
    year = {2022},
    author = {Fu, Xingyu and Zhou, Ben and Chandratreya, Ishaan Preetam and Vondrick, Carl and Roth, Dan},
    pages = {1138--1149},
    volume = {1},
    url = {http://arxiv.org/abs/2203.00758},
    arxivId = {2203.00758}
}

@article{Wu2024,
    title = {{Thinking LLMs: General Instruction Following with Thought Generation}},
    year = {2024},
    author = {Wu, Tianhao and Lan, Janice and Yuan, Weizhe and Jiao, Jiantao and Weston, Jason and Sukhbaatar, Sainbayar},
    pages = {1--28},
    url = {http://arxiv.org/abs/2410.10630},
    arxivId = {2410.10630}
}

@article{kahneman2011thinking,
    title = {{Thinking, Fast and Slow}},
    year = {2011},
    author = {Kahneman, Daniel},
    publisher = {Farrar, Straus and Giroux, New York},
    url = {https://www.tylervigen.com/spurious/correlation/4242}
}

@misc{Tiku2023,
    title = {{This is how AI image generators see the world}},
    year = {2023},
    booktitle = {The Washington Post},
    author = {Tiku, Nitasha and Schaul, Kevin and Chen, Szu Yu},
    url = {https://www.washingtonpost.com/technology/interactive/2023/ai-generated-images-bias-racism-sexism-stereotypes/}
}

@inproceedings{Goldfarb-Tarrant2023MASK,
    title = {{This Prompt is Measuring <MASK>: Evaluating Bias Evaluation in Language Models}},
    year = {2023},
    booktitle = {Findings of ACL: ACL 2023},
    author = {Goldfarb-Tarrant, Seraphina and Ungless, Eddie and Balkir, Esma and Blodgett, Su Lin},
    pages = {2209--2225},
    url = {http://arxiv.org/abs/2305.12757},
    arxivId = {2305.12757}
}

@article{Hu2023,
    title = {{TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering}},
    year = {2023},
    author = {Hu, Yushi and Liu, Benlin and Kasai, Jungo and Wang, Yizhong and Ostendorf, Mari and Krishna, Ranjay and Smith, Noah A.},
    url = {http://arxiv.org/abs/2303.11897},
    arxivId = {2303.11897}
}

@inproceedings{Pellegrini2015,
    title = {{Time-continuous estimation of emotion in music with recurrent neural networks}},
    year = {2015},
    booktitle = {CEUR Workshop Proceedings},
    author = {Pellegrini, Thomas and Barriere, Valentin},
    volume = {1436},
    issn = {16130073}
}

@inproceedings{SainteFareGarnot2019,
    title = {{Time-Space Tradeoff in Deep Learning Models for Crop Classification on Satellite Multi-Spectral Image Time Series}},
    year = {2019},
    booktitle = {IGARSS},
    author = {Sainte Fare Garnot, V. and Landrieu, Loic and Giordano, S. and Chehata, N.},
    pages = {6247--6250},
    doi = {10.1109/igarss.2019.8900517},
    arxivId = {1901.10503}
}

@article{Loureiro2022,
    title = {{TimeLMs: Diachronic Language Models from Twitter}},
    year = {2022},
    author = {Loureiro, Daniel and Barbieri, Francesco and Neves, Leonardo and Anke, Luis Espinosa and Camacho-Collados, Jose},
    url = {http://arxiv.org/abs/2202.03829},
    arxivId = {2202.03829}
}

@article{Nyborg2022a,
    title = {{TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation}},
    year = {2022},
    journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
    author = {Nyborg, Joachim and Pelletier, Charlotte and Lef{\`{e}}vreb, Sébastien and Assenta, Ira},
    arxivId = {arXiv:2111.02682v3},
    keywords = {crop classification, deep learning, domain adaptation, satellite image time series, temporal shift}
}

@article{Rosenstein2005,
    title = {{To transfer or not to transfer}},
    year = {2005},
    journal = {NIPS 2005 workshop on transfer learning},
    author = {Rosenstein, Michael T and Marx, Zvika and Kaelbling, Leslie Pack and Dietterich, Thomas G},
    pages = {3},
    volume = {898},
    issn = {0964-1726}
}

@article{Blanchard2013,
    title = {{TOEFL11 : A Corpus of Non-Native English}},
    year = {2013},
    journal = {ETS Research Report Series},
    author = {Blanchard, Daniel and Tetreault, Joel and Higgins, Derrick and Cahill, Aoife and Chodorow, Martin},
    number = {November}
}

@article{Wegmann2025,
    title = {{Tokenization is Sensitive to Language Variation}},
    year = {2025},
    author = {Wegmann, Anna and Nguyen, Dong and Jurgens, David},
    url = {http://arxiv.org/abs/2502.15343},
    arxivId = {2502.15343}
}

@article{Kartal2020,
    title = {{Too Many Claims to Fact-Check : Prioritizing Political Claims Based on}},
    year = {2020},
    author = {Kartal, Yavuz Selim and Kutlu, Mucahid},
    number = {May},
    arxivId = {arXiv:2004.08166v1}
}

@article{Qu2024,
    title = {{Tool Learning with Large Language Models: A Survey}},
    year = {2024},
    author = {Qu, Changle and Dai, Sunhao and Wei, Xiaochi and Cai, Hengyi and Wang, Shuaiqiang and Yin, Dawei and Xu, Jun and Wen, Ji-Rong},
    number = {0},
    pages = {1--33},
    volume = {0},
    url = {http://arxiv.org/abs/2405.17935},
    arxivId = {2405.17935},
    keywords = {large language mod-, tool learning}
}

@article{Zhuang2024,
    title = {{Toolchain∗: Efficient Action Space Navigation in Large Language Models With a∗ Search}},
    year = {2024},
    journal = {12th International Conference on Learning Representations, ICLR 2024},
    author = {Zhuang, Yuchen and Chen, Xiang and Yu, Tong and Mitra, Saayan and Bursztyn, Victor and Rossi, Ryan A. and Sarkhel, Somdeb and Zhang, Chao},
    number = {2},
    pages = {1--25},
    arxivId = {2310.13227}
}

@article{Schick2022,
    title = {{Toolformer: Language Models Can Teach Themselves to Use Tools}},
    year = {2023},
    journal = {Neurips},
    author = {Schick, Timo and Lomeli, Maria and Dwivedi-yu, Jane and Dess{\`{i}}, Roberto},
    arxivId = {arXiv:2302.04761v1}
}

@article{Qin2024,
    title = {{Toolllm: Facilitating Large Language Models To Master 16000+ Real-World Apis}},
    year = {2024},
    journal = {12th International Conference on Learning Representations, ICLR 2024},
    author = {Qin, Yujia and Liang, Shihao and Ye, Yining and Zhu, Kunlun and Yan, Lan and Lu, Yaxi and Lin, Yankai and Cong, Xin and Tang, Xiangru and Qian, Bill and Zhao, Sihan and Hong, Lauren and Tian, Runchu and Xie, Ruobing and Zhou, Jie and Gerstein, Mark and Li, Dahai and Liu, Zhiyuan and Sun, Maosong},
    arxivId = {2307.16789}
}

@article{Zhuang2023,
    title = {{ToolQA: A Dataset for LLM Question Answering with External Tools}},
    year = {2023},
    journal = {Neurips},
    author = {Zhuang, Yuchen and Yu, Yue and Wang, Kuan and Sun, Haotian and Zhang, Chao},
    url = {http://arxiv.org/abs/2306.13304},
    issn = {10495258},
    arxivId = {2306.13304}
}

@article{Lu2024,
    title = {{ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities}},
    year = {2024},
    author = {Lu, Jiarui and Holleis, Thomas and Zhang, Yizhe and Aumayer, Bernhard and Nan, Feng and Bai, Felix and Ma, Shuang and Ma, Shen and Li, Mengyu and Yin, Guoli and Wang, Zirui and Pang, Ruoming},
    url = {http://arxiv.org/abs/2408.04682},
    arxivId = {2408.04682}
}

@article{Wang2020d,
    title = {{Topic-aware neural keyphrase generation for social media language}},
    year = {2019},
    journal = {ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Wang, Yue and Li, Jing and Chan, Hou Pong and King, Irwin and Lyu, Michael R. and Shi, Shuming},
    pages = {2516--2526},
    isbn = {9781950737482},
    doi = {10.18653/v1/p19-1240},
    arxivId = {1906.03889}
}

@book{Xenopoulos2022,
    title = {{Topological Representations of Local Explanations}},
    year = {2022},
    booktitle = {Proceedings of ACM Conference (Conference'17)},
    author = {Xenopoulos, Peter and Chan, Gromit and Doraiswamy, Harish and Nonato, Luis Gustavo and Barr, Brian and Silva, Claudio},
    number = {1},
    volume = {1},
    publisher = {Association for Computing Machinery},
    url = {http://arxiv.org/abs/2201.02155},
    arxivId = {2201.02155},
    keywords = {explainability, interpretability, topological data analysis, topological data analysis, explainability, interpr}
}

@article{Millet2022,
    title = {{Toward a realistic model of speech processing in the brain with self-supervised learning}},
    year = {2022},
    author = {Millet, Juliette and Caucheteux, Charlotte and Orhan, Pierre and Boubenec, Yves and Gramfort, Alexandre and Dunbar, Ewan and Pallier, Christophe and King, Jean-Remi},
    pages = {1--15},
    url = {http://arxiv.org/abs/2206.01685},
    arxivId = {2206.01685}
}

@article{Zhu2023a,
    title = {{Toward Artificial Empathy for Human-Centered Design: a Framework}},
    year = {2023},
    journal = {Proceedings of the ASME Design Engineering Technical Conference},
    author = {Zhu, Qihao and Luo, Jianxi},
    volume = {3B},
    isbn = {9780791887318},
    doi = {10.1115/DETC2023-117266},
    keywords = {Artificial Intelligence, Data-Driven Design, Empathy, Human-Centered Design}
}

@inproceedings{Hu2017a,
    title = {{Toward controlled generation of text}},
    year = {2017},
    booktitle = {34th International Conference on Machine Learning, ICML 2017},
    author = {Hu, Zhiting and Yang, Zichao and Liang, Xiaodan and Salakhutdinov, Ruslan and Xing, Eric P.},
    pages = {2503--2513},
    volume = {4},
    isbn = {9781510855144},
    arxivId = {1703.00955}
}

@article{Hu2017,
    title = {{Toward Controlled Generation of Text}},
    year = {2017},
    author = {Hu, Zhiting and Yang, Zichao and Liang, Xiaodan and Salakhutdinov, Ruslan and Xing, Eric P}
}

@inproceedings{Das2023,
    title = {{Toward Cultural Bias Evaluation Datasets: The Case of {\{}B{\}}engali Gender, Religious, and National Identity}},
    year = {2023},
    booktitle = {Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP)},
    author = {Das, Dipto and Guha, Shion and Semaan, Bryan},
    pages = {68--83},
    url = {https://aclanthology.org/2023.c3nlp-1.8}
}

@inproceedings{Jakubik2023,
    title = {{Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation}},
    year = {2023},
    booktitle = {International Geoscience and Remote Sensing Symposium (IGARSS)},
    author = {Jakubik, Johannes and Muszynski, Michal and Vossing, Michael and Kuhl, Niklas and Brunschwiler, Thomas},
    pages = {5638--5641},
    volume = {2023-July},
    isbn = {9798350320107},
    doi = {10.1109/IGARSS52108.2023.10282643},
    arxivId = {2301.09318},
    keywords = {Unsupervised domain adaptation, deep learning, foundation models, natural hazards., remote sensing, semantic segmentation}
}

@article{Shi2022,
    title = {{Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too?}},
    year = {2022},
    author = {Shi, Weijia and Han, Xiaochuang and Gonen, Hila and Holtzman, Ari and Tsvetkov, Yulia and Zettlemoyer, Luke},
    url = {http://arxiv.org/abs/2212.10539},
    arxivId = {2212.10539}
}

@article{reis2017toward,
    title = {{Toward understanding understanding: The importance of feeling understood in relationships}},
    year = {2017},
    journal = {Social and Personality Psychology Compass},
    author = {Reis, Harry T and Lemay Jr, Edward P and Finkenauer, Catrin},
    number = {3},
    pages = {e12308},
    volume = {11},
    publisher = {Wiley Online Library}
}

@article{Guan,
    title = {{Towards a Deep and Unified Understanding of Deep Neural Models in NLP}},
    author = {Guan, Chaoyu and Wang, Xiting and Zhang, Quanshi and Chen, Runjin and He, Di and Xie, Xing},
    volume = {1}
}

@inproceedings{Maughan2020,
    title = {{Towards a Measure of Individual Fairness for Deep Learning}},
    year = {2020},
    author = {Maughan, Krystal and Near, Joseph P},
    arxivId = {arXiv:2009.13650v1}
}

@article{Doshi-Velez2017,
    title = {{Towards A Rigorous Science of Interpretable Machine Learning}},
    year = {2017},
    author = {Doshi-Velez, Finale and Kim, Been},
    number = {Ml},
    pages = {1--13},
    url = {http://arxiv.org/abs/1702.08608},
    arxivId = {1702.08608}
}

@article{Weston2016,
    title = {{Towards AI-complete question answering: A set of prerequisite toy tasks}},
    year = {2016},
    journal = {4th International Conference on Learning Representations, ICLR 2016 - Conference Track Proceedings},
    author = {Weston, Jason and Bordes, Antoine and Chopra, Sumit and Rush, Alexander M. and Van Merri{\"{e}}nboer, Bart and Joulin, Armand and Mikolov, Tomas},
    arxivId = {1502.05698}
}

@article{Vecchi2021,
    title = {{Towards argument mining for social good: A survey}},
    year = {2021},
    journal = {ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference},
    author = {Vecchi, Eva Maria and Falk, Neele and Jundi, Iman and Lapesa, Gabriella},
    pages = {1338--1352},
    isbn = {9781954085527},
    doi = {10.18653/v1/2021.acl-long.107}
}

@article{Hunter2019,
    title = {{Towards Computational Persuasion via Natural Language Argumentation Dialogues}},
    year = {2019},
    journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    author = {Hunter, Anthony and Chalaguine, Lisa and Czernuszenko, Tomasz and Hadoux, Emmanuel and Polberg, Sylwia},
    pages = {18--33},
    volume = {11793 LNAI},
    isbn = {9783030301781},
    doi = {10.1007/978-3-030-30179-8{\_}2},
    issn = {16113349},
    keywords = {Chatbots, Computational models of argument, Persuasion}
}

@article{Charitidis2020,
    title = {{Towards countering hate speech against journalists on social media}},
    year = {2020},
    journal = {Online Social Networks and Media},
    author = {Charitidis, Polychronis and Doropoulos, Stavros and Vologiannidis, Stavros and Papastergiou, Ioannis and Karakeva, Sophia},
    pages = {1--15},
    volume = {17},
    doi = {10.1016/j.osnem.2020.100071},
    issn = {24686964},
    arxivId = {1912.04106},
    keywords = {Deep learning, Hate speech, Social media, Supervised machine learning}
}

@article{Bezou-Vrakatseli2024,
    title = {{Towards Dialogues for Joint Human-AI Reasoning and Value Alignment}},
    year = {2024},
    author = {Bezou-Vrakatseli, Elfia and Cocarascu, Oana and Modgil, Sanjay},
    url = {http://arxiv.org/abs/2405.18073},
    arxivId = {2405.18073}
}

@article{Rashkin2020,
    title = {{Towards empathetic open-domain conversation models: A new benchmark and dataset}},
    year = {2020},
    journal = {ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Rashkin, Hannah and Smith, Eric Michael and Li, Margaret and Boureau, Y. Lan},
    pages = {5370--5381},
    isbn = {9781950737482},
    doi = {10.18653/v1/p19-1534},
    arxivId = {arXiv:1811.00207v5}
}

@inproceedings{rashkin-etal-2019-towards,
    title = {{Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset}},
    year = {2019},
    booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
    author = {Rashkin, Hannah and Smith, Eric Michael and Li, Margaret and Boureau, Y-Lan},
    month = {7},
    pages = {5370--5381},
    publisher = {Association for Computational Linguistics},
    url = {https://aclanthology.org/P19-1534},
    address = {Florence, Italy},
    doi = {10.18653/v1/P19-1534}
}

@article{Perez2023,
    title = {{Towards Evaluating AI Systems for Moral Status Using Self-Reports}},
    year = {2023},
    author = {Perez, Ethan and Long, Robert},
    pages = {1--29},
    url = {http://arxiv.org/abs/2311.08576},
    arxivId = {2311.08576}
}

@article{Fiacco2023a,
    title = {{Towards Extracting and Understanding the Implicit Rubrics of Transformer Based Automated Essay Scoring Models}},
    year = {2023},
    journal = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Fiacco, James and Adamson, David and Ros{\'{e}}, Carolyn P.},
    number = {Bea},
    pages = {232--241},
    isbn = {9781959429807},
    doi = {10.18653/v1/2023.bea-1.20},
    issn = {0736587X}
}

@article{Wang2020e,
    title = {{Towards fairness in visual recognition: Effective strategies for bias mitigation}},
    year = {2020},
    journal = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
    author = {Wang, Zeyu and Qinami, Klint and Karakozis, Ioannis Christos and Genova, Kyle and Nair, Prem and Hata, Kenji and Russakovsky, Olga},
    pages = {8916--8925},
    doi = {10.1109/CVPR42600.2020.00894},
    issn = {10636919},
    arxivId = {1911.11834}
}

@inproceedings{Borah2024,
    title = {{Towards Implicit Bias Detection and Mitigation in Multi-Agent LLM Interactions}},
    year = {2024},
    booktitle = {EMNLP},
    author = {Borah, Angana and Mihalcea, Rada},
    arxivId = {arXiv:2410.02584v1}
}

@article{Steimel2020,
    title = {{Towards Instance-Based Content Scoring with Pre-Trained Transformer Models}},
    year = {2020},
    journal = {AAAI 2020 - 34th AAAI Conference on Artificial Intelligence},
    author = {Steimel, Kenneth and Riordan, Brian},
    number = {Shermis},
    pages = {2015--2017}
}

@article{Durmus2023,
    title = {{Towards Measuring the Representation of Subjective Global Opinions in Language Models}},
    year = {2023},
    author = {Durmus, Esin and Nyugen, Karina and Liao, Thomas I. and Schiefer, Nicholas and Askell, Amanda and Bakhtin, Anton and Chen, Carol and Hatfield-Dodds, Zac and Hernandez, Danny and Joseph, Nicholas and Lovitt, Liane and McCandlish, Sam and Sikder, Orowa and Tamkin, Alex and Thamkul, Janel and Kaplan, Jared and Clark, Jack and Ganguli, Deep},
    url = {http://arxiv.org/abs/2306.16388},
    arxivId = {2306.16388}
}

@article{Zhong2020,
    title = {{Towards persona-based empathetic conversational models}},
    year = {2020},
    journal = {EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference},
    author = {Zhong, Peixiang and Zhang, Chen and Wang, Hao and Liu, Yong and Miao, Chunyan},
    pages = {6556--6566},
    isbn = {9781952148606},
    doi = {10.18653/v1/2020.emnlp-main.531},
    arxivId = {2004.12316}
}

@article{Zubiaga2017a,
    title = {{Towards Real-Time, Country-Level Location Classification of Worldwide Tweets}},
    year = {2017},
    journal = {IEEE Transactions on Knowledge and Data Engineering},
    author = {Zubiaga, Arkaitz and Voss, Alex and Procter, Rob and Liakata, Maria and Wang, Bo and Tsakalidis, Adam},
    number = {9},
    pages = {2053--2066},
    volume = {29},
    doi = {10.1109/TKDE.2017.2698463},
    issn = {10414347},
    arxivId = {1604.07236},
    keywords = {Twitter, classification, geolocation, microblogging, real-Time}
}

@article{Huang2022a,
    title = {{Towards Reasoning in Large Language Models: A Survey}},
    year = {2022},
    author = {Huang, Jie and Chang, Kevin Chen-Chuan},
    url = {http://arxiv.org/abs/2212.10403},
    arxivId = {2212.10403}
}

@article{Panenghat2020,
    title = {{Towards the Necessity for Debiasing Natural Language Inference Datasets}},
    year = {2020},
    journal = {Proceedings of The 12th Language Resources and Evaluation Conference},
    author = {Panenghat, Mithun Paul and Suntwal, Sandeep and Rafique, Faiz and Sharp, Rebecca and Surdeanu, Mihai},
    number = {May},
    pages = {6883–6888},
    url = {https://www.aclweb.org/anthology/2020.lrec-1.850}
}

@article{Glenski2020,
    title = {{Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages}},
    year = {2020},
    journal = {Proceedings of the 3rd International Workshop on Rumours and Deception in Social Media (RDSM)},
    author = {Glenski, Maria and Ayton, Ellyn and Cosbey, Robin and Arendt, Dustin and Volkova, Svitlana},
    pages = {1--13},
    url = {https://www.aclweb.org/anthology/2020.rdsm-1.1},
    arxivId = {arXiv:2104.11761v1}
}

@article{Sharma2023a,
    title = {{Towards Understanding Sycophancy in Language Models}},
    year = {2023},
    author = {Sharma, Mrinank and Tong, Meg and Korbak, Tomasz and Duvenaud, David and Askell, Amanda and Bowman, Samuel R and Cheng, Newton and Durmus, Esin and Hatfield-Dodds, Zac and Johnston, Scott R and Kravec, Shauna and Maxwell, Timothy and McCandlish, Sam and Ndousse, Kamal and Rausch, Oliver and Schiefer, Nicholas and Yan, Da and Zhang, Miranda and Perez, Ethan},
    url = {http://arxiv.org/abs/2310.13548},
    arxivId = {2310.13548}
}

@article{Leite2020,
    title = {{Toxic language detection in social media for Brazilian Portuguese: New dataset and multilingual analysis}},
    year = {2020},
    journal = {arXiv},
    author = {Leite, João A. and Silva, Diego F. and Bontcheva, Kalina and Scarton, Carolina},
    issn = {23318422},
    arxivId = {2010.04543}
}

@article{Fortuna2020,
    title = {{Toxic, hateful, offensive or abusive? What are we really classifying? An empirical analysis of hate speech datasets}},
    year = {2020},
    journal = {LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings},
    author = {Fortuna, Paula and Soler-Company, Juan and Wanner, Leo},
    number = {May},
    pages = {6786--6794},
    isbn = {9791095546344},
    keywords = {Aggression, Dataset comparison, Hate speech, Offensive, Toxicity}
}

@article{Ruan2023d,
    title = {{TPTU: Large Language Model-based AI Agents for Task Planning and Tool Usage}},
    year = {2023},
    author = {Ruan, Jingqing and Chen, Yihong and Zhang, Bin and Xu, Zhiwei and Bao, Tianpeng and Du, Guoqing and Shi, Shiwei and Mao, Hangyu and Li, Ziyue and Zeng, Xingyu and Zhao, Rui},
    url = {http://arxiv.org/abs/2308.03427},
    arxivId = {2308.03427}
}

@article{Barbaresi2021,
    title = {{Trafilatura: A web scraping library and command-line tool for text discovery and extraction}},
    year = {2021},
    journal = {ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the System Demonstrations},
    author = {Barbaresi, Adrien},
    pages = {122--131},
    url = {https://github.com/adbar/trafilatura/tree/master},
    isbn = {9781954085565},
    doi = {10.18653/v1/2021.acl-demo.15}
}

@article{Li2020,
    title = {{Train Large , Then Compress : Rethinking Model Size for Efficient Training and Inference of Transformers}},
    year = {2020},
    author = {Li, Zhuohan and Wallace, Eric and Shen, Sheng and Lin, Kevin},
    arxivId = {arXiv:2002.11794v2}
}

@article{Pushp2017,
    title = {{Train Once, Test Anywhere: Zero-Shot Learning for Text Classification}},
    year = {2017},
    author = {Pushp, Pushpankar Kumar and Srivastava, Muktabh Mayank},
    number = {2017},
    pages = {1--6},
    url = {http://arxiv.org/abs/1712.05972},
    arxivId = {1712.05972}
}

@article{Bai2022rlhf,
    title = {{Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback}},
    author = {Bai, Yuntao and Apr, C L and Askell, Amanda and Chen, Anna and Dassarma, Nova and Drain, Dawn and Fort, Stanislav and Ganguli, Deep and Henighan, Tom and Joseph, Nicholas and Kadavath, Saurav and Kernion, Jackson and Conerly, Tom and El-showk, Sheer and Elhage, Nelson and Hatfield-dodds, Zac and Hernandez, Danny and Hume, Tristan and Johnston, Scott and Kravec, Shauna and Lovitt, Liane and Nanda, Neel and Olsson, Catherine and Amodei, Dario and Brown, Tom and Clark, Jack and Mccandlish, Sam and Olah, Chris and Mann, Ben and Kaplan, Jared},
    arxivId = {arXiv:2204.05862v1}
}

@inproceedings{Boser1992,
    title = {{Training algorithm for optimal margin classifiers}},
    year = {1992},
    booktitle = {Proceedings of the Fifth Annual ACM Workshop on Computational Learning Theory},
    author = {Boser, Bernhard E. and Guyon, Isabelle M. and Vapnik, Vladimir N.},
    pages = {144--152},
    isbn = {089791497X},
    doi = {10.1145/130385.130401}
}

@article{Hoffmann2022,
    title = {{Training Compute-Optimal Large Language Models}},
    year = {2022},
    journal = {arXiv},
    author = {Hoffmann, Jordan and Borgeaud, Sebastian and Mensch, Arthur and Buchatskaya, Elena and Cai, Trevor and Rutherford, Eliza and Casas, Diego De Las and Hendricks, Lisa Anne and Welbl, Johannes and Clark, Aidan and Hennigan, Tom and Noland, Eric and Millican, Katie and Driessche, George Van Den and Damoc, Bogdan and Guy, Aurelia and Osindero, Simon and Simonyan, Karen},
    number = {2020},
    pages = {1--36},
    volume = {3},
    arxivId = {arXiv:2203.15556v1}
}

@article{Touvron2020,
    title = {{Training data-efficient image transformers {\&} distillation through attention}},
    year = {2020},
    author = {Touvron, Hugo and Cord, Matthieu and Douze, Matthijs and Massa, Francisco and Sablayrolles, Alexandre and J{\'{e}}gou, Hervé},
    pages = {1--22},
    url = {http://arxiv.org/abs/2012.12877},
    arxivId = {2012.12877}
}

@article{Ouyang2022instruct,
    title = {{Training language models to follow instructions with human feedback}},
    year = {2022},
    journal = {arXiv},
    author = {Ouyang, Long and Wu, Jeff and Jiang, Xu and Ameida, Diogo and Wainwright, Carroll L. and Mishkin, Pamela and Mar, C L and Hilton, Jacob and Askell, Amanda and Christiano, Paul and Leike, Jan and Lowe, Ryan},
    volume = {https://op},
    arxivId = {arXiv:2203.02155v1}
}

@article{Liu2023,
    title = {{Training Socially Aligned Language Models in Simulated Human Society}},
    year = {2023},
    author = {Liu, Ruibo and Yang, Ruixin and Jia, Chenyan and Zhang, Ge and Zhou, Denny and Dai, Andrew M. and Yang, Diyi and Vosoughi, Soroush},
    pages = {1--19},
    url = {http://arxiv.org/abs/2305.16960},
    arxivId = {2305.16960}
}

@article{Hedderich2020,
    title = {{Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages}},
    year = {2020},
    author = {Hedderich, Michael A. and Adelani, David and Zhu, Dawei and Alabi, Jesujoba and Markus, Udia and Klakow, Dietrich},
    url = {http://arxiv.org/abs/2010.03179},
    arxivId = {2010.03179}
}

@article{Khan2023,
    title = {{Transformer Architecture-Based Transfer Learning for Politeness Prediction in Conversation}},
    year = {2023},
    journal = {Sustainability (Switzerland)},
    author = {Khan, Shakir and Fazil, Mohd and Imoize, Agbotiname Lucky and Alabduallah, Bayan Ibrahimm and Albahlal, Bader M. and Alajlan, Saad Abdullah and Almjally, Abrar and Siddiqui, Tamanna},
    number = {14},
    pages = {1--11},
    volume = {15},
    doi = {10.3390/su151410828},
    issn = {20711050},
    keywords = {conversation AI, machine learning, politeness prediction, transfer learning}
}

@inproceedings{Acl1860a,
    title = {{Transformer based ensemble for emotion detection}},
    year = {2022},
    booktitle = {WASSA},
    author = {Acl, Anonymous}
}

@article{Geva2021a,
    title = {{Transformer Feed-Forward Layers Are Key-Value Memories}},
    year = {2021},
    journal = {EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings},
    author = {Geva, Mor and Schuster, Roei and Berant, Jonathan and Levy, Omer},
    pages = {5484--5495},
    isbn = {9781955917094},
    doi = {10.18653/v1/2021.emnlp-main.446},
    arxivId = {2012.14913}
}

@article{Hu2021,
    title = {{Transformer is All You Need: Multimodal Multitask Learning with a Unified Transformer}},
    year = {2021},
    author = {Hu, Ronghang and Singh, Amanpreet},
    url = {http://arxiv.org/abs/2102.10772},
    arxivId = {2102.10772}
}

@phdthesis{Buton2023,
    title = {{Transformer models for interpretable and multilevel prediction of protein functions from sequences}},
    year = {2023},
    author = {Buton, Nicolas},
    school = {Universit{\'{e}} de Rennes}
}

@inproceedings{Acl2018,
    title = {{Transformer-based Architecture for Empathy Prediction and Emotion Classification}},
    year = {2022},
    booktitle = {WASSA},
    author = {Acl, Anonymous}
}

@article{Fang2022,
    title = {{Transformers with Learnable Activation Functions}},
    year = {2022},
    author = {Fang, Haishuo and Lee, Ji-Ung and Moosavi, Nafise Sadat and Gurevych, Iryna},
    url = {http://arxiv.org/abs/2208.14111},
    arxivId = {2208.14111}
}

@article{Zhou2024a,
    title = {{Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model}},
    year = {2024},
    author = {Zhou, Chunting and Yu, Lili and Babu, Arun and Tirumala, Kushal and Yasunaga, Michihiro and Shamis, Leonid and Kahn, Jacob and Ma, Xuezhe and Zettlemoyer, Luke and Levy, Omer},
    url = {http://arxiv.org/abs/2408.11039},
    arxivId = {2408.11039}
}

@inproceedings{Edwards2022,
    title = {{Translation between Molecules and Natural Language}},
    year = {2022},
    booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022},
    author = {Edwards, Carl and Lai, Tuan and Ros, Kevin and Honke, Garrett and Cho, Kyunghyun and Ji, Heng},
    pages = {375--413},
    doi = {10.18653/v1/2022.emnlp-main.26},
    arxivId = {2204.11817}
}

@article{Wang2016,
    title = {{TransModality : An End2End Fusion Method with Transformer for Multimodal Sentiment Analysis}},
    year = {2016},
    author = {Wang, Zilong and Wan, Zhaohong and Wan, Xiaojun},
    doi = {10.1145/nnnnnnn.nnnnnnn},
    arxivId = {arXiv:2009.02902v2},
    keywords = {2016, acm reference format, and xiaojun wan, multimodal, neural network, sentiment analysis, transmodality, zhaohong wan, zilong wang}
}

@inproceedings{Kasai2022,
    title = {{Transparent Human Evaluation for Image Captioning}},
    year = {2022},
    booktitle = {NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference},
    author = {Kasai, Jungo and Sakaguchi, Keisuke and Dunagan, Lavinia and Morrison, Jacob and Le Bras, Ronan and Choi, Yejin and Smith, Noah A.},
    pages = {3464--3478},
    isbn = {9781955917711},
    doi = {10.18653/v1/2022.naacl-main.254},
    arxivId = {2111.08940}
}

@article{Gubri2024,
    title = {{TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification}},
    year = {2024},
    journal = {Findings of the Association for Computational Linguistics ACL 2024},
    author = {Gubri, Martin and Ulmer, Dennis and Lee, Hwaran and Yun, Sangdoo and Oh, Seong Joon},
    pages = {11496--11517},
    url = {https://aclanthology.org/2024.findings-acl.683},
    arxivId = {arXiv:2402.12991v2}
}

@inproceedings{Yao2023ToT,
    title = {{Tree of Thoughts : Deliberate Problem Solving with Large Language Models}},
    year = {2023},
    booktitle = {Neurips},
    author = {Yao, Shunyu and Yu, Dian and Zhao, Jeffrey and Griffiths, Thomas L},
    number = {1},
    pages = {1--11},
    arxivId = {arXiv:2305.10601v1}
}

@inproceedings{Morris2023,
    title = {{Tree Prompting: Efficient Task Adaptation without Fine-Tuning}},
    year = {2023},
    booktitle = {EMNLP},
    author = {Morris, John X. and Singh, Chandan and Rush, Alexander M. and Gao, Jianfeng and Deng, Yuntian},
    pages = {6253--6267},
    url = {http://arxiv.org/abs/2310.14034},
    arxivId = {2310.14034}
}

@article{Joshi2017,
    title = {{TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension}},
    year = {2017},
    journal = {ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers)},
    author = {Joshi, Mandar and Choi, Eunsol and Weld, Daniel S. and Zettlemoyer, Luke},
    pages = {1601--1611},
    volume = {1},
    isbn = {9781945626753},
    doi = {10.18653/v1/P17-1147},
    arxivId = {1705.03551}
}

@article{Perez2021,
    title = {{True Few-Shot Learning with Language Models}},
    year = {2021},
    author = {Perez, Ethan and Kiela, Douwe and Cho, Kyunghyun},
    number = {CV},
    pages = {1--17},
    url = {http://arxiv.org/abs/2105.11447},
    arxivId = {2105.11447}
}

@article{Schick2021a,
    title = {{True Few-Shot Learning with Prompts -- A Real-World Perspective}},
    year = {2021},
    author = {Schick, Timo and Sch{\"{u}}tze, Hinrich},
    url = {http://arxiv.org/abs/2111.13440},
    arxivId = {2111.13440}
}

@article{Sun2024,
    title = {{TrustLLM: Trustworthiness in Large Language Models}},
    year = {2024},
    author = {Sun, Lichao and Huang, Yue and Wang, Haoran and Wu, Siyuan and Zhang, Qihui and Gao, Chujie and Huang, Yixin and Lyu, Wenhan and Zhang, Yixuan and Li, Xiner and Liu, Zhengliang and Liu, Yixin and Wang, Yijue and Zhang, Zhikun and Kailkhura, Bhavya and Xiong, Caiming and Zhang, Chao and Xiao, Chaowei and Li, Chunyuan and Xing, Eric and Huang, Furong and Liu, Hao and Ji, Heng and Wang, Hongyi and Zhang, Huan and Yao, Huaxiu and Kellis, Manolis and Zitnik, Marinka and Jiang, Meng and Bansal, Mohit and Zou, James and Pei, Jian and Liu, Jian and Gao, Jianfeng and Han, Jiawei and Zhao, Jieyu and Tang, Jiliang and Wang, Jindong and Mitchell, John and Shu, Kai and Xu, Kaidi and Chang, Kai-Wei and He, Lifang and Huang, Lifu and Backes, Michael and Gong, Neil Zhenqiang and Yu, Philip S. and Chen, Pin-Yu and Gu, Quanquan and Xu, Ran and Ying, Rex and Ji, Shuiwang and Jana, Suman and Chen, Tianlong and Liu, Tianming and Zhou, Tianyi and Wang, Willian and Li, Xiang and Zhang, Xiangliang and Wang, Xiao and Xie, Xing and Chen, Xun and Wang, Xuyu and Liu, Yan and Ye, Yanfang and Cao, Yinzhi and Zhao, Yue},
    pages = {1--113},
    url = {http://arxiv.org/abs/2401.05561},
    arxivId = {2401.05561}
}

@article{Lin2022a,
    title = {{TruthfulQA: Measuring How Models Mimic Human Falsehoods}},
    year = {2022},
    journal = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Lin, Stephanie and Hilton, Jacob and Evans, Owain},
    pages = {3214--3252},
    volume = {1},
    isbn = {9781955917216},
    doi = {10.18653/v1/2022.acl-long.229},
    issn = {0736587X},
    arxivId = {2109.07958}
}

@article{Arkhipov2019,
    title = {{Tuning Multilingual Transformers for Language-Specific Named Entity Recognition}},
    year = {2019},
    author = {Arkhipov, Mikhail and Trofimova, Maria and Kuratov, Yuri and Sorokin, Alexey},
    number = {August},
    pages = {89--93},
    doi = {10.18653/v1/w19-3712}
}

@inproceedings{Wallace,
    title = {{Tutorial: Interpreting Predictions of NLP Models}},
    author = {Wallace, Eric and Gardner, Martt and Singh, Sameer}
}

@inproceedings{Shamma2009,
    title = {{Tweet the debates: Understanding community annotation of uncollected sources}},
    year = {2009},
    booktitle = {1st ACM SIGMM International Workshop on Social Media, WSM'09, Co-located with the 2009 ACM International Conference on Multimedia, MM'09},
    author = {Shamma, David A. and Kennedy, Lyndon and Churchill, Elizabeth F.},
    pages = {3--10},
    isbn = {9781605587592},
    doi = {10.1145/1631144.1631148},
    keywords = {Centrality, Community, Debates, Multimedia, Social, TV, Twitter}
}

@inproceedings{Camacho-collados2020,
    title = {{TWEETEVAL: Unified benchmark and comparative evaluation for tweet classification}},
    year = {2020},
    booktitle = {Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020},
    author = {Barbieri, Francesco and Camacho-Collados, Jose and Neves, Leonardo and Espinosa-Anke, Luis},
    pages = {1644--1650},
    isbn = {9781952148903},
    doi = {10.18653/v1/2020.findings-emnlp.148},
    arxivId = {2010.12421}
}

@article{Bosco2016,
    title = {{Tweeting and being ironic in the debate about a political reform: The French annotated corpus TWitter-MariagePourTous}},
    year = {2016},
    journal = {Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016},
    author = {Bosco, Cristina and Lai, Mirko and Patti, Viviana and Virone, Daniela},
    pages = {1619--1626},
    isbn = {9782951740891},
    keywords = {Figurative language, French, Political debates, Sentiment analysis, Twitter}
}

@article{Barbera2015,
    title = {{Tweeting From Left to Right: Is Online Political Communication More Than an Echo Chamber?}},
    year = {2015},
    journal = {Psychological Science},
    author = {Barber{\'{a}}, Pablo and Jost, John T. and Nagler, Jonathan and Tucker, Joshua A. and Bonneau, Richard},
    number = {10},
    pages = {1531--1542},
    volume = {26},
    doi = {10.1177/0956797615594620},
    issn = {14679280},
    pmid = {26297377},
    keywords = {open data, open materials, polarization, political ideology, social media}
}

@article{Imran2016b,
    title = {{Twitter as a lifeline: Human-annotated Twitter corpora for NLP of crisis-related messages}},
    year = {2016},
    journal = {Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016},
    author = {Imran, Muhammad and Mitra, Prasenjit and Castillo, Carlos},
    pages = {1638--1643},
    isbn = {9782951740891},
    arxivId = {1605.05894},
    keywords = {Disaster response, Natural language processing, Supervised classification, Twitter}
}

@inproceedings{Koksal2021,
    title = {{Twitter Dataset and Evaluation of Transformers for Turkish Sentiment Analysis}},
    year = {2021},
    booktitle = {29th Signal Processing and Communications Applications Conference (SIU)},
    author = {Koksal, Abdullatif and Ozgur, Arzucan}
}

@inproceedings{koksal2021twitter,
    title = {{Twitter dataset and evaluation of transformers for Turkish sentiment analysis}},
    year = {2021},
    booktitle = {2021 29th Signal Processing and Communications Applications Conference (SIU)},
    author = {K{\"{o}}ksal, Abdullatif and {\"{O}}zg{\"{u}}r, Arzucan},
    pages = {1--4},
    organization = {IEEE}
}

@article{Han2016a,
    title = {{Twitter Geolocation Prediction Shared Task of the 2016 Workshop on Noisy User-generated Text}},
    year = {2016},
    journal = {Proceedings of the 2nd Workshop on Noisy User-generated Text (WNUT)},
    author = {Han, Bo and Rahimi, Afshin and Derczynski, Leon and Baldwin, Timothy},
    pages = {213--217},
    url = {http://aclanthology.info/papers/twitter-geolocation-prediction-shared-task-of-the-2016-workshop-on-noisy-user-generated-text%0Ahttp://aclanthology.info/papers/W16-3928/twitter-geolocation-prediction-shared-task-of-the-2016-workshop-on-noisy-user-generated}
}

@article{Speriosu2011,
    title = {{Twitter Polarity Classification with Label Propagation over Lexical Links and the Follower Graph}},
    year = {2011},
    journal = {Proceedings of the Conference on Empirical Methods in Natural Language Processing},
    author = {Speriosu, Michael and Sudan, Nikita and Upadhyay, Sid and Baldridge, Jason},
    pages = {53--56},
    isbn = {9781937284138},
    issn = {1937284131}
}

@article{Go2009,
    title = {{Twitter Sentiment Classification using Distant Supervision}},
    year = {2009},
    journal = {Processing},
    author = {Go, Alec and Bhayani, Richa and Huang, Lei},
    pages = {1--6},
    volume = {-},
    keywords = {sentiment analysis, sentiment classification, twitter}
}

@article{Azzouza2020,
    title = {{Twitterbert: Framework for twitter sentiment analysis based on pre-trained language model representations}},
    year = {2020},
    journal = {Advances in Intelligent Systems and Computing},
    author = {Azzouza, Noureddine and Akli-Astouati, Karima and Ibrahim, Roliana},
    pages = {428--437},
    volume = {1073},
    isbn = {9783030335816},
    doi = {10.1007/978-3-030-33582-3{\_}41},
    issn = {21945365},
    keywords = {BERT, CNN, LSTM, Twitter Sentiment Analysis, Word embedding}
}

@article{Srinivasan2022,
    title = {{TYDIP: A Dataset for Politeness Classification in Nine Typologically Diverse Languages}},
    year = {2022},
    journal = {Findings of the Association for Computational Linguistics: EMNLP 2022},
    author = {Srinivasan, Anirudh and Choi, Eunsol},
    pages = {5752--5767},
    doi = {10.18653/v1/2022.findings-emnlp.420},
    arxivId = {2211.16496}
}

@article{Petit2021,
    title = {{U-Net Transformer: Self and Cross Attention for Medical Image Segmentation}},
    year = {2021},
    journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    author = {Petit, Olivier and Thome, Nicolas and Rambour, Clement and Themyr, Loic and Collins, Toby and Soler, Luc},
    pages = {267--276},
    volume = {12966 LNCS},
    isbn = {9783030875886},
    doi = {10.1007/978-3-030-87589-3{\_}28},
    issn = {16113349},
    arxivId = {2103.06104},
    keywords = {Cross-attention, Global interactions, Medical image segmentation, Self-attention, Spatial layout, Transformers}
}

@article{Petit2021b,
    title = {{U-Net Transformer: Self and Cross Attention for Medical Image Segmentation}},
    year = {2021},
    journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    author = {Petit, Olivier and Thome, Nicolas and Rambour, Clement and Themyr, Loic and Collins, Toby and Soler, Luc},
    pages = {267--276},
    volume = {12966 LNCS},
    isbn = {9783030875886},
    doi = {10.1007/978-3-030-87589-3{\_}28},
    issn = {16113349},
    arxivId = {2103.06104},
    keywords = {Cross-attention, Global interactions, Medical image segmentation, Self-attention, Spatial layout, Transformers}
}

@article{McInnes2018,
    title = {{UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction}},
    year = {2018},
    author = {McInnes, Leland and Healy, John and Melville, James},
    url = {http://arxiv.org/abs/1802.03426},
    arxivId = {1802.03426}
}

@inproceedings{Grangetto2023,
    title = {{UNBIASED SUPERVISED CONTRASTIVE LEARNING}},
    year = {2023},
    booktitle = {ICLR},
    author = {Barbano, Carlo Alberto and Dufumier, Benoit and Grangetto, Marco and Tartaglione, Enzo and Gori, Pietro},
    pages = {1--24},
    arxivId = {arXiv:2211.05568v4}
}

@article{Amini2019,
    title = {{Uncovering and Mitigating Algorithmic Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure}},
    year = {2019},
    author = {Amini, Alexander and Soleimany, Ava and Schwarting, Wilko and Bhatia, Sangeeta and Rus, Daniela}
}

@article{Lepori2023,
    title = {{Uncovering Intermediate Variables in Transformers using Circuit Probing}},
    year = {2023},
    author = {Lepori, Michael A. and Serre, Thomas and Pavlick, Ellie},
    pages = {1--32},
    url = {http://arxiv.org/abs/2311.04354},
    arxivId = {2311.04354}
}

@inproceedings{perez-rosas-etal-2017-understanding,
    title = {{Understanding and Predicting Empathic Behavior in Counseling Therapy}},
    year = {2017},
    booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
    author = {P{\'{e}}rez-Rosas, Verónica and Mihalcea, Rada and Resnicow, Kenneth and Singh, Satinder and An, Lawrence},
    month = {7},
    pages = {1426--1435},
    publisher = {Association for Computational Linguistics},
    url = {https://aclanthology.org/P17-1131},
    address = {Vancouver, Canada},
    doi = {10.18653/v1/P17-1131}
}

@article{Campos-Taberner2020,
    title = {{Understanding deep learning in land use classification based on Sentinel-2 time series}},
    year = {2020},
    journal = {Nature - Scientific Reports},
    author = {Campos-Taberner, Manuel and Garc{\'{i}}a-Haro, Francisco Javier and Mart{\'{i}}nez, Beatriz and Izquierdo-Verdiguier, Emma and Atzberger, Clement and Camps-Valls, Gustau and Gilabert, María Amparo},
    number = {1},
    pages = {1--12},
    volume = {10},
    publisher = {Nature Publishing Group UK},
    url = {https://doi.org/10.1038/s41598-020-74215-5},
    isbn = {0123456789},
    doi = {10.1038/s41598-020-74215-5},
    issn = {20452322},
    pmid = {33057052}
}

@article{Mohammad2019,
    title = {{Understanding emotions: A dataset of tweets to study interactions between affect categories}},
    year = {2019},
    journal = {LREC 2018 - 11th International Conference on Language Resources and Evaluation},
    author = {Mohammad, Saif M. and Kiritchenko, Svetlana},
    pages = {198--209},
    isbn = {9791095546009},
    keywords = {Arousal, Basic emotions, Crowdsourcing, Dominance, Emotion intensity, Sentiment analysis, Valence}
}

@article{Haugh2015,
    title = {{Understanding im/politeness across cultures: An interactional approach to raising sociopragmatic awareness}},
    year = {2015},
    journal = {IRAL - International Review of Applied Linguistics in Language Teaching},
    author = {Haugh, Michael and Chang, Wei Lin Melody},
    number = {4},
    pages = {389--414},
    volume = {53},
    doi = {10.1515/iral-2015-0018},
    issn = {16134141},
    keywords = {Chinese, English, face, interactional pragmatics, politeness, sociopragmatics}
}

@article{Abadji2021,
    title = {{Ungoliant: An Optimized Pipeline for the Generation of a Very Large-Scale Multilingual Web Corpus}},
    year = {2021},
    journal = {Proceedings of the Workshop on Challenges in the Management of Large Corpora (CMLC-9) 2021},
    author = {Abadji, Julien and Ortiz Su{\'{a}}rez, Pedro Javier and Romary, Laurent and Sagot, Benoˆıt Benoˆıt},
    pages = {1--9},
    url = {https://doi.org/10.14618/ids-pub-10468}
}

@article{Zhou2020b,
    title = {{Unified vision-language pre-training for image captioning and VQA}},
    year = {2020},
    journal = {AAAI 2020 - 34th AAAI Conference on Artificial Intelligence},
    author = {Zhou, Luowei and Palangi, Hamid and Zhang, Lei and Hu, Houdong and Corso, Jason J. and Gao, Jianfeng},
    pages = {13041--13049},
    isbn = {9781577358350},
    doi = {10.1609/aaai.v34i07.7005},
    issn = {2159-5399},
    arxivId = {1909.11059}
}

@article{Khashabi2020,
    title = {{UNIFIEDQA: Crossing format boundaries with a single QA system}},
    year = {2020},
    journal = {Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020},
    author = {Khashabi, Daniel and Min, Sewon and Khot, Tushar and Sabharwal, Ashish and Tafjord, Oyvind and Clark, Peter and Hajishirzi, Hannaneh},
    pages = {1896--1907},
    isbn = {9781952148903},
    doi = {10.18653/v1/2020.findings-emnlp.171},
    arxivId = {2005.00700}
}

@article{Shukor2023,
    title = {{UnIVAL: Unified Model for Image, Video, Audio and Language Tasks}},
    year = {2023},
    journal = {Transactions on Machine Learning Research},
    author = {Shukor, Mustafa and Dancette, Corentin and Rame, Alexandre and Cord, Matthieu},
    url = {http://arxiv.org/abs/2307.16184},
    arxivId = {2307.16184}
}

@article{Zou2023a,
    title = {{Universal and Transferable Adversarial Attacks on Aligned Language Models}},
    year = {2023},
    author = {Zou, Andy and Wang, Zifan and Carlini, Nicholas and Nasr, Milad and Kolter, J. Zico and Fredrikson, Matt},
    pages = {1--31},
    url = {http://arxiv.org/abs/2307.15043},
    arxivId = {2307.15043}
}

@inproceedings{Lee2024,
    title = {{Unleashing Large Language Models’ Proficiency in Zero-shot Essay Scoring}},
    year = {2024},
    booktitle = {Findings of ACL: EMNLP 2024},
    author = {Lee, Sanwoo and Cai, Yida and Meng, Desong and Wang, Ziyang and Wu, Yunfang},
    arxivId = {arXiv:2404.04941v2}
}

@article{wang2022unlocking,
    title = {{Unlocking large-scale crop field delineation in smallholder farming systems with transfer learning and weak supervision}},
    year = {2022},
    journal = {Remote Sensing},
    author = {Wang, Sherrie and Waldner, François and Lobell, David B},
    number = {22},
    pages = {5738},
    volume = {14},
    publisher = {MDPI}
}

@inproceedings{Kaneko2022a,
    title = {{Unmasking the Mask - Evaluating Social Biases in Masked Language Models}},
    year = {2022},
    booktitle = {Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022},
    author = {Kaneko, Masahiro and Bollegala, Danushka},
    pages = {11954--11962},
    volume = {36},
    isbn = {1577358767},
    doi = {10.1609/aaai.v36i11.21453},
    issn = {2159-5399},
    arxivId = {2104.07496},
    keywords = {AISI: AI For Social Impact (AISI Track Papers Only}
}

@inproceedings{Conneau2019a,
    title = {{Unsupervised Cross-Lingual Representation Learning at Scale}},
    year = {2020},
    author = {Conneau, Alexis and Khandelwal, Kartikay and Goyal, Naman and Chaudhary, Vishrav and Wenzek, Guillaume and Guzm{\'{a}}n, Francisco and Grave, Edouard and Ott, Myle and Zettlemoyer, Luke and Stoyanov, Veselin},
    pages = {31--38},
    doi = {10.18653/v1/p19-4007},
    arxivId = {1911.02116}
}

@article{Ganin2015,
    title = {{Unsupervised domain adaptation by backpropagation}},
    year = {2015},
    journal = {32nd International Conference on Machine Learning, ICML 2015},
    author = {Ganin, Yaroslav and Lempitsky, Victor},
    number = {i},
    pages = {1180--1189},
    volume = {2},
    isbn = {9781510810587},
    arxivId = {1409.7495}
}

@article{Gupta2021,
    title = {{Unsupervised Self-Training for Sentiment Analysis of Code-Switched Data}},
    year = {2021},
    author = {Gupta, Akshat and Menghani, Sargam and Rallabandi, Sai Krishna and Black, Alan W},
    url = {http://arxiv.org/abs/2103.14797},
    arxivId = {2103.14797}
}

@inproceedings{Zhang2022a,
    title = {{Unsupervised Wildfire Change Detection based on Contrastive Learning}},
    year = {2022},
    booktitle = {Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop (AI+HADR 2022), Neurips},
    author = {Zhang, Beichen and Wang, Huiqi and Alabri, Amani and Bot, Karol and McCall, Cole and Hamilton, Dale and Rů{\v{z}}i{\v{c}}ka, Vít},
    pages = {1--9},
    url = {http://arxiv.org/abs/2211.14654},
    address = {New Orleans, LA, USA},
    arxivId = {2211.14654}
}

@inproceedings{Yarowsky1995,
    title = {{Unsupervised word sense disambiguation rivaling supervised methods}},
    year = {1995},
    booktitle = {ACL},
    author = {Yarowsky, David},
    pages = {189--196},
    doi = {10.3115/981658.981684}
}

@inproceedings{Mirzakhmedova2023,
    title = {{Unveiling the Power of Argument Arrangement in Online Persuasive Discussions}},
    year = {2023},
    booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2023},
    author = {Mirzakhmedova, Nailia and Kiesel, Johannes and Al-Khatib, Khalid and Stein, Benno},
    pages = {15659--15671},
    isbn = {9798891760615},
    doi = {10.18653/v1/2023.findings-emnlp.1048}
}

@article{Hasan2019,
    title = {{UR-FUNNY: A Multimodal Language Dataset for Understanding Humor}},
    year = {2019},
    author = {Hasan, Md Kamrul and Rahman, Wasifur and Zadeh, Amir and Zhong, Jianyuan and Tanveer, Md Iftekhar and Morency, Louis-Philippe and {Mohammed} and {Hoque}},
    url = {http://arxiv.org/abs/1904.06618},
    arxivId = {1904.06618}
}

@article{Hasan2019b,
    title = {{UR-FUNNY: A Multimodal Language Dataset for Understanding Humor}},
    year = {2019},
    author = {Hasan, Md Kamrul and Rahman, Wasifur and Zadeh, Amir and Zhong, Jianyuan and Tanveer, Md Iftekhar and Morency, Louis-Philippe and {Mohammed} and {Hoque}},
    url = {http://arxiv.org/abs/1904.06618},
    arxivId = {1904.06618}
}

@article{Belouadi2022,
    title = {{USCORE: An Effective Approach to Fully Unsupervised Evaluation Metrics for Machine Translation}},
    year = {2022},
    author = {Belouadi, Jonas and Eger, Steffen},
    pages = {1--17},
    url = {http://arxiv.org/abs/2202.10062},
    arxivId = {2202.10062}
}

@article{Kontonatsios2020,
    title = {{Using a neural network-based feature extraction method to facilitate citation screening for systematic reviews}},
    year = {2020},
    journal = {Expert Systems with Applications: X},
    author = {Kontonatsios, Georgios and Spencer, Sally and Matthew, Peter and Korkontzelos, Ioannis},
    pages = {100030},
    volume = {6},
    publisher = {Elsevier Ltd},
    url = {https://doi.org/10.1016/j.eswax.2020.100030},
    doi = {10.1016/j.eswax.2020.100030},
    issn = {25901885},
    keywords = {Citation screening, Neural feature extraction, Text mining}
}

@article{Kempeneers2023c,
    title = {{Using a Vegetation Index as a Proxy for Reliability in Surface Reflectance Time Series Reconstruction (RTSR)}},
    year = {2023},
    journal = {Remote Sensing},
    author = {Kempeneers, Pieter and Claverie, Martin and d’Andrimont, Raphaël},
    number = {9},
    volume = {15},
    doi = {10.3390/rs15092303},
    issn = {20724292},
    keywords = {optical remote sensing, reconstruction algorithm, smoothing, time series}
}

@article{Imran2020,
    title = {{Using AI and Social Media Multimodal Content for Disaster Response and Management: Opportunities, Challenges, and Future Directions}},
    year = {2020},
    journal = {Information Processing and Management},
    author = {Imran, Muhammad and Ofli, Ferda and Caragea, Doina and Torralba, Antonio},
    number = {5},
    pages = {1--9},
    volume = {57},
    doi = {10.1016/j.ipm.2020.102261},
    issn = {03064573},
    keywords = {Artificial intelligence, Computer vision, Multimodal learning, Natural language processing, Social media}
}

@article{Boldrini2012,
    title = {{Using EmotiBlog to annotate and analyse subjectivity in the new textual genres}},
    year = {2012},
    journal = {Data Mining and Knowledge Discovery},
    author = {Boldrini, Ester and Balahur, Alexandra and Mart{\'{i}}nez-Barco, Patricio and Montoyo, Andrés},
    number = {3},
    pages = {603--634},
    volume = {25},
    doi = {10.1007/s10618-012-0259-9},
    issn = {13845810},
    keywords = {Annotation model, Feature selection, New textual genres, Opinion Mining, Sentiment analysis}
}

@article{Dunlap2022,
    title = {{Using Language to Extend to Unseen Domains}},
    year = {2022},
    author = {Dunlap, Lisa and Mohri, Clara and Guillory, Devin and Zhang, Han and Darrell, Trevor and Gonzalez, Joseph E. and Raghunathan, Aditi and Rohrbach, Anja},
    url = {http://arxiv.org/abs/2210.09520},
    arxivId = {2210.09520}
}

@article{Matalon2021,
    title = {{Using sentiment analysis to predict opinion inversion in Tweets of political communication}},
    year = {2021},
    journal = {Scientific Reports},
    author = {Matalon, Yogev and Magdaci, Ofir and Almozlino, Adam and Yamin, Dan},
    number = {1},
    pages = {1--9},
    volume = {11},
    publisher = {Nature Publishing Group UK},
    url = {https://doi.org/10.1038/s41598-021-86510-w},
    isbn = {0123456789},
    doi = {10.1038/s41598-021-86510-w},
    issn = {20452322},
    pmid = {33790339}
}

@article{pena2017using,
    title = {{Using spectrotemporal indices to improve the fruit-tree crop classification accuracy}},
    year = {2017},
    journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
    author = {Pe{\~{n}}a, M A and Liao, R and Brenning, A},
    pages = {158--169},
    volume = {128},
    publisher = {Elsevier}
}

@inproceedings{Sosea2021,
    title = {{Using the Image-Text Relationship to Improve Multimodal Disaster Tweet Classification}},
    year = {2021},
    booktitle = {ISCRAM},
    author = {Sosea, Tiberiu and Caragea, Cornelia},
    number = {May 2021},
    pages = {691--704},
    keywords = {image-text coherence relationship prediction, multimodal disaster tweet classification, vilbert}
}

@article{Sorensen2023,
    title = {{Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties}},
    year = {2023},
    author = {Sorensen, Taylor and Jiang, Liwei and Hwang, Jena and Levine, Sydney and Pyatkin, Valentina and West, Peter and Dziri, Nouha and Lu, Ximing and Rao, Kavel and Bhagavatula, Chandra and Sap, Maarten and Tasioulas, John and Choi, Yejin},
    number = {Archive 2011},
    url = {http://arxiv.org/abs/2309.00779},
    arxivId = {2309.00779}
}

@article{Qiu2021,
    title = {{ValueNet: A New Dataset for Human Value Driven Dialogue System}},
    year = {2021},
    author = {Qiu, Liang and Zhao, Yizhou and Li, Jinchao and Lu, Pan and Peng, Baolin and Gao, Jianfeng and Zhu, Song-Chun},
    url = {http://arxiv.org/abs/2112.06346},
    arxivId = {2112.06346}
}

@article{botvinik2020variability,
    title = {{Variability in the analysis of a single neuroimaging dataset by many teams}},
    year = {2020},
    journal = {Nature},
    author = {Botvinik-Nezer, Rotem and Holzmeister, Felix and Camerer, Colin F and Dreber, Anna and Huber, Juergen and Johannesson, Magnus and Kirchler, Michael and Iwanir, Roni and Mumford, Jeanette A and Adcock, R Alison and {others}},
    number = {7810},
    pages = {84--88},
    volume = {582},
    publisher = {Nature Publishing Group UK London}
}

@article{Chen2023a,
    title = {{VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset}},
    year = {2023},
    author = {Chen, Sihan and Li, Handong and Wang, Qunbo and Zhao, Zijia and Sun, Mingzhen and Zhu, Xinxin and Liu, Jing},
    number = {NeurIPS},
    url = {http://arxiv.org/abs/2305.18500},
    issn = {10495258},
    arxivId = {2305.18500}
}

@inproceedings{Simonyan2015,
    title = {{Very deep convolutional networks for large-scale image recognition}},
    year = {2015},
    booktitle = {3rd International Conference on Learning Representations, ICLR 2015 - Conference Track Proceedings},
    author = {Simonyan, Karen and Zisserman, Andrew},
    pages = {1--14},
    arxivId = {1409.1556}
}

@article{Simonyan2014,
    title = {{VGG-16}},
    year = {2014},
    journal = {arXiv preprint},
    author = {Simonyan, Karen and Zisserman, Andrew},
    pages = {1--10},
    url = {http://arxiv.org/abs/1409.1556},
    isbn = {0950-5849},
    doi = {10.1016/j.infsof.2008.09.005},
    issn = {09505849},
    pmid = {16873662},
    arxivId = {1409.1556}
}

@article{Jin2023,
    title = {{Video Fire Detection Methods Based on Deep Learning: Datasets, Methods, and Future Directions}},
    year = {2023},
    journal = {Fire},
    author = {Jin, Chengtuo and Wang, Tao and Alhusaini, Naji and Zhao, Shenghui and Liu, Huilin and Xu, Kun and Zhang, Jin},
    number = {8},
    pages = {1--27},
    volume = {6},
    doi = {10.3390/fire6080315},
    issn = {25716255},
    keywords = {deep learning, fire object detection, fire recognition, fire segmentation}
}

@article{Tang2023,
    title = {{Video Understanding with Large Language Models: A Survey}},
    year = {2023},
    author = {Tang, Yunlong and Bi, Jing and Xu, Siting and Song, Luchuan and Liang, Susan and Wang, Teng and Zhang, Daoan and An, Jie and Lin, Jingyang and Zhu, Rongyi and Vosoughi, Ali and Huang, Chao and Zhang, Zeliang and Zheng, Feng and Zhang, Jianguo and Luo, Ping and Luo, Jiebo and Xu, Chenliang},
    pages = {1--37},
    url = {http://arxiv.org/abs/2312.17432},
    arxivId = {2312.17432},
    keywords = {large language model, video understanding, vision-language}
}

@inproceedings{Maaz2024,
    title = {{Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models}},
    year = {2024},
    booktitle = {ACL},
    author = {Maaz, Muhammad and Rasheed, Hanoona and Khan, Salman and Khan, Fahad Shahbaz},
    pages = {12585--12602},
    volume = {1},
    url = {http://arxiv.org/abs/2306.05424},
    arxivId = {2306.05424}
}

@article{Wang2024d,
    title = {{VideoAgent: Long-form Video Understanding with Large Language Model as Agent}},
    year = {2024},
    author = {Wang, Xiaohan and Zhang, Yuhui and Zohar, Orr and Yeung-Levy, Serena},
    url = {http://arxiv.org/abs/2403.10517},
    arxivId = {2403.10517},
    keywords = {agent, large language model, long-form video understanding, vision-language foundation models}
}

@article{Sun2019a,
    title = {{VideoBERT: A joint model for video and language representation learning}},
    year = {2019},
    journal = {Proceedings of the IEEE International Conference on Computer Vision},
    author = {Sun, Chen and Myers, Austin and Vondrick, Carl and Murphy, Kevin and Schmid, Cordelia},
    pages = {7463--7472},
    volume = {2019-Octob},
    isbn = {9781728148038},
    doi = {10.1109/ICCV.2019.00756},
    issn = {15505499},
    arxivId = {1904.01766}
}

@article{Maaz2024a,
    title = {{VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding}},
    year = {2024},
    author = {Maaz, Muhammad and Rasheed, Hanoona and Khan, Salman and Khan, Fahad},
    pages = {1--18},
    url = {http://arxiv.org/abs/2406.09418},
    arxivId = {2406.09418}
}

@article{Sesver2022,
    title = {{VIDI: A Video Dataset of Incidents}},
    year = {2022},
    journal = {IVMSP 2022 - 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop},
    author = {Sesver, Duygu and Gencoglu, Alp Eren and Yildiz, Cagri Emre and Gunindi, Zehra and Habibi, Faeze and Yazici, Ziya Ata and Ekenel, Hazim Kemal},
    isbn = {9781665478229},
    doi = {10.1109/IVMSP54334.2022.9816319},
    arxivId = {2205.13277},
    keywords = {Video processing, incident classification, video incidents dataset}
}

@inproceedings{Lu2019a,
    title = {{ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks}},
    year = {2019},
    booktitle = {NIPS`19},
    author = {Lu, Jiasen and Batra, Dhruv and Parikh, Devi and Lee, Stefan},
    number = {NeurIPS},
    pages = {1--11},
    url = {http://arxiv.org/abs/1908.02265},
    arxivId = {1908.02265}
}

@inproceedings{Kim2021a,
    title = {{ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision}},
    year = {2021},
    booktitle = {Proceedings of Machine Learning Research},
    author = {Kim, Wonjae and Son, Bokyung and Kim, Ildoo},
    number = {2018},
    pages = {5583--5594},
    volume = {139},
    isbn = {9781713845065},
    issn = {26403498},
    arxivId = {2102.03334}
}

@article{Petukhova2017,
    title = {{Virtual debate coach design: Assessing multimodal argumentation performance}},
    year = {2017},
    journal = {ICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction},
    author = {Petukhova, Volha and Mayer, Tobias and Malchanau, Andrei and Bunt, Harry},
    number = {1},
    pages = {41--50},
    volume = {2017-Janua},
    isbn = {9781450355438},
    doi = {10.1145/3136755.3136775},
    keywords = {Multimodal behaviour tracking, Natural debate argumentation, Virtual coach}
}

@article{Guadagno2007,
    title = {{Virtual humans and persuasion: The effects of agency and behavioral realism}},
    year = {2007},
    journal = {Media Psychology},
    author = {Guadagno, Rosanna E and Blascovich, Jim and Bailenson, Jeremy N and Mccall, Cade},
    number = {1},
    pages = {1--22},
    volume = {10},
    doi = {10.108/15213260701300865},
    issn = {15213269}
}

@article{Tieri2018,
    title = {{Virtual reality in cognitive and motor rehabilitation: facts, fiction and fallacies}},
    year = {2018},
    journal = {Expert Review of Medical Devices},
    author = {Tieri, G. and Morone, G. and Paolucci, S. and Iosa, M.},
    number = {2},
    pages = {107 - 117},
    volume = {15}
}

@article{Bazi2021,
    title = {{Vision Transformers for Remote Sensing Image Classification}},
    year = {2021},
    journal = {MDPI Remote Sensing},
    author = {Bazi, Yakoub and Bashmal, Laila and Rahhal, Mohamad M. Al and Dayi, Reham Al and Ajlan, Naif Al},
    isbn = {9798350399059},
    doi = {10.1109/ICEICT57916.2023.10245719},
    keywords = {attention mechanism, remote sensing, scene classification, transformer}
}

@article{Ling2022,
    title = {{Vision-Language Pre-Training for Multimodal Aspect-Based Sentiment Analysis}},
    year = {2022},
    author = {Ling, Yan and yu, Jianfei and Xia, Rui},
    url = {http://arxiv.org/abs/2204.07955},
    arxivId = {2204.07955}
}

@article{Li2025,
    title = {{Visual Acoustic Fields}},
    year = {2025},
    author = {Li, Yuelei and Kim, Hyunjin and Zhan, Fangneng and Qiu, Ri-Zhao and Ji, Mazeyu and Shan, Xiaojun and Zou, Xueyan and Liang, Paul and Pfister, Hanspeter and Wang, Xiaolong},
    url = {http://arxiv.org/abs/2503.24270},
    arxivId = {2503.24270}
}

@inproceedings{lu2018visual,
    title = {{Visual attention model for name tagging in multimodal social media}},
    year = {2018},
    booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
    author = {Lu, Di and Neves, Leonardo and Carvalho, Vitor and Zhang, Ning and Ji, Heng},
    pages = {1990--1999}
}

@article{Wu2023,
    title = {{Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models}},
    year = {2023},
    author = {Wu, Chenfei and Yin, Shengming and Qi, Weizhen and Wang, Xiaodong and Tang, Zecheng and Duan, Nan},
    url = {http://arxiv.org/abs/2303.04671},
    arxivId = {2303.04671}
}

@article{Hassan2020,
    title = {{Visual Sentiment Analysis from Disaster Images in Social Media}},
    year = {2020},
    author = {Hassan, Syed Zohaib and Ahmad, Kashif and Hicks, Steven and Halvorsen, Paal and Al-Fuqaha, Ala and Conci, Nicola and Riegler, Michael},
    pages = {1--10},
    url = {http://arxiv.org/abs/2009.03051},
    arxivId = {2009.03051}
}

@article{Hassan2022sentimentdisaster,
    title = {{Visual Sentiment Analysis from Disaster Images in Social Media}},
    year = {2022},
    journal = {MDPI Sensors},
    author = {Hassan, Syed Zohaib and Ahmad, Kashif and Hicks, Steven and Halvorsen, Pål and Conci, Nicola and Riegler, Michael},
    keywords = {deep learning, emotions, multimedia retrieval, natural disasters, sentiment analysis}
}

@article{Zhu2016,
    title = {{Visual7W: Grounded question answering in images}},
    year = {2016},
    journal = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
    author = {Zhu, Yuke and Groth, Oliver and Bernstein, Michael and Fei-Fei, Li},
    pages = {4995--5004},
    volume = {2016-Decem},
    isbn = {9781467388504},
    doi = {10.1109/CVPR.2016.540},
    issn = {10636919},
    arxivId = {1511.03416}
}

@article{Li2019,
    title = {{VisualBERT: A Simple and Performant Baseline for Vision and Language}},
    year = {2019},
    author = {Li, Liunian Harold and Yatskar, Mark and Yin, Da and Hsieh, Cho-Jui and Chang, Kai-Wei},
    number = {2},
    pages = {1--14},
    url = {http://arxiv.org/abs/1908.03557},
    arxivId = {1908.03557}
}

@inproceedings{Xu2022,
    title = {{ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation}},
    year = {2022},
    booktitle = {Advances in Neural Information Processing Systems},
    author = {Xu, Yufei and Zhang, Jing and Zhang, Qiming and Tao, Dacheng},
    number = {NeurIPS},
    pages = {1--16},
    volume = {35},
    isbn = {9781713871088},
    issn = {10495258},
    arxivId = {2204.12484}
}

@article{Su2019,
    title = {{VL-BERT: Pre-training of Generic Visual-Linguistic Representations}},
    year = {2019},
    journal = {ICLR'20},
    author = {Su, Weijie and Zhu, Xizhou and Cao, Yue and Li, Bin and Lu, Lewei and Wei, Furu and Dai, Jifeng},
    pages = {1--16},
    url = {http://arxiv.org/abs/1908.08530},
    arxivId = {1908.08530}
}

@article{Wang2021,
    title = {{VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts}},
    year = {2021},
    author = {Wang, Wenhui and Bao, Hangbo and Dong, Li and Wei, Furu},
    url = {http://arxiv.org/abs/2111.02358},
    arxivId = {2111.02358}
}

@article{Antol2015,
    title = {{VQA: Visual question answering}},
    year = {2015},
    journal = {Proceedings of the IEEE International Conference on Computer Vision},
    author = {Antol, Stanislaw and Agrawal, Aishwarya and Lu, Jiasen and Mitchell, Margaret and Batra, Dhruv and Zitnick, C. Lawrence and Parikh, Devi},
    pages = {2425--2433},
    volume = {2015 Inter},
    isbn = {9781467383912},
    doi = {10.1109/ICCV.2015.279},
    issn = {15505499},
    arxivId = {1505.00468}
}

@article{Crowson2022,
    title = {{VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance}},
    year = {2022},
    author = {Crowson, Katherine and Biderman, Stella and Kornis, Daniel and Stander, Dashiell and Hallahan, Eric and Castricato, Louis and Raff, Edward},
    url = {http://arxiv.org/abs/2204.08583},
    arxivId = {2204.08583},
    keywords = {generative adversarial networks, grounded language, image}
}

@inproceedings{Tafreshi2021,
    title = {{WASSA 2021 Shared Task : Predicting Empathy and Emotion in Reaction to News Stories}},
    year = {2021},
    booktitle = {Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, EACL 2021},
    author = {Tafreshi, Shabnam and Clercq, Orphée De and Barriere, Valentin and Sedoc, João and Buechel, Sven and Balahur, Alexandra},
    pages = {92--104}
}

@inproceedings{barriere-etal-2022-wassa,
    title = {{WASSA 2022 Shared Task: Predicting Empathy, Emotion and Personality in Reaction to News Stories}},
    year = {2022},
    booktitle = {Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment {\&} Social Media Analysis},
    author = {Barriere, Valentin and Tafreshi, Shabnam and Sedoc, João and Alqahtani, Sawsan},
    pages = {214--227},
    publisher = {Association for Computational Linguistics},
    address = {Dublin},
    doi = {10.18653/v1/2022.wassa-1.20}
}

@article{Mohammad2018b,
    title = {{WASSA-2017 Shared Task on Emotion Intensity}},
    year = {2018},
    author = {Mohammad, Saif and Bravo-Marquez, Felipe},
    pages = {34--49},
    doi = {10.18653/v1/w17-5205},
    arxivId = {1708.03700}
}

@misc{wassa23empathy,
    title = {{WASSA-2023 Shared Task on Empathy Detection and Emotion Classification and Personnality Detection in Interactions}},
    year = {2023},
    booktitle = {https://wassa-workshop.github.io/2023/shared{\_}task/},
    author = {Barriere, Valentin and Giorgi, Salvatore and Sedoc, João and Tafreshi, Shabnam}
}

@article{Baevski2020,
    title = {{wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations}},
    year = {2020},
    journal = {arXiv},
    author = {Baevski, Alexei and Zhou, Henry and Mohamed, Abdelrahman and Auli, Michael},
    number = {Figure 1},
    pages = {1--19},
    issn = {23318422},
    arxivId = {2006.11477}
}

@article{Baly2020,
    title = {{We can detect your bias: Predicting the political ideology of news articles}},
    year = {2020},
    journal = {EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference},
    author = {Baly, Ramy and da San Martino, Giovanni and Glass, James and Nakov, Preslav},
    pages = {4982--4991},
    isbn = {9781952148606},
    doi = {10.18653/v1/2020.emnlp-main.404},
    arxivId = {2010.05338}
}

@article{Huang2020b,
    title = {{Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding}},
    year = {2020},
    journal = {arXiv},
    author = {Huang, Jiaxin and Meng, Yu and Guo, Fang and Ji, Heng and Han, Jiawei},
    arxivId = {arXiv:2010.06705v1}
}

@article{Egloff2020,
    title = {{WeDH - A friendly tool for building literary corpora enriched with encyclopedic metadata}},
    year = {2020},
    journal = {LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings},
    author = {Egloff, Mattia and Picca, Davide},
    number = {May},
    pages = {813--816},
    isbn = {9791095546344},
    keywords = {Corpora, Digital Humanities, Linked Open Data}
}

@article{Badilla2020,
    title = {{WEFE: The word embeddings fairness evaluation framework}},
    year = {2020},
    journal = {IJCAI International Joint Conference on Artificial Intelligence},
    author = {Badilla, Pablo and Bravo-Marquez, Felipe and P{\'{e}}rez, Jorge},
    pages = {430--436},
    volume = {2021-Janua},
    isbn = {9780999241165},
    doi = {10.24963/ijcai.2020/60},
    issn = {10450823}
}

@article{Cohen1968,
    title = {{Weighted kappa: nominal scale agreement provision for scaled disagreement or partial credit}},
    year = {1968},
    journal = {Psychological bulletin},
    author = {Cohen, Jacob},
    number = {4},
    pages = {213},
    volume = {70}
}

@article{Turc2019,
    title = {{Well-read students learn better: On the importance of pre-training compact models}},
    year = {2019},
    journal = {arXiv},
    author = {Turc, Iulia and Chang, Ming Wei and Lee, Kenton and Toutanova, Kristina},
    number = {Mlm},
    pages = {1--13},
    issn = {23318422},
    arxivId = {1908.08962}
}

@article{Rogers2020,
    title = {{What Can We Do to Improve Peer Review in NLP?}},
    year = {2020},
    author = {Rogers, Anna and Augenstein, Isabelle},
    url = {http://arxiv.org/abs/2010.03863},
    arxivId = {2010.03863}
}

@article{Giulianelli2023,
    title = {{What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability}},
    year = {2023},
    journal = {EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings},
    author = {Giulianelli, Mario and Baan, Joris and Aziz, Wilker and Fern{\'{a}}ndez, Raquel and Plank, Barbara},
    number = {ii},
    pages = {14349--14371},
    isbn = {9798891760608},
    doi = {10.18653/v1/2023.emnlp-main.887},
    arxivId = {2305.11707}
}

@article{Castillo-Navarro2019a,
    title = {{What data are needed for semantic segmentation in earth observation?}},
    year = {2019},
    journal = {2019 Joint Urban Remote Sensing Event, JURSE 2019},
    author = {Castillo-Navarro, J. and Audebert, N. and Boulch, A. and Le Saux, B. and Lefevre, S.},
    pages = {10--13},
    isbn = {9781728100098},
    doi = {10.1109/JURSE.2019.8809071},
    keywords = {Deep Learning, Land Use/Land Cover Mapping, Semantic Segmentation, Supervised Learning}
}

@inproceedings{Emnlp2020,
    title = {{What Do Position Embeddings Learn ? An Empirical Study of Pre-Trained Language Model Positional Encoding}},
    year = {2020},
    booktitle = {EMNLP},
    author = {Wang, Yu-An and Chen, Yun-Nung},
    pages = {1--9},
    volume = {2},
    arxivId = {arXiv:2010.04903v1}
}

@article{Liscio2020,
    title = {{What does a Text Classifier Learn about Morality ? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric}},
    year = {2020},
    author = {Liscio, Enrico and Araque, Oscar and Gatti, Lorenzo and Constantinescu, Ionut and Jonker, Catholijn M and Kalimeri, Kyriaki and Murukannaiah, Pradeep K},
    pages = {14113--14132},
    volume = {1}
}

@article{Clark2019,
    title = {{What does BERT look at? An analysis of BERT's attention}},
    year = {2019},
    journal = {arXiv},
    author = {Clark, Kevin and Khandelwal, Urvashi and Levy, Omer and Manning, Christopher D.},
    doi = {10.18653/v1/w19-4828},
    arxivId = {1906.04341}
}

@inproceedings{National2024,
    title = {{What Does Perspectivism Mean? An Ethical and Methodological Countercriticism}},
    year = {2024},
    booktitle = {3rd Workshop on Perspectivist Approaches to NLP, NLPerspectives 2024 at LREC-COLING 2024 - Workshop Proceedings},
    author = {Valette, Mathieu},
    pages = {111--115},
    isbn = {9782493814234},
    keywords = {annotated corpus, corpus linguistics, ethics, perspectivism, postmodernism, statistical analysis of textual data}
}

@article{Kersten2020,
    title = {{What happens where during disasters? A Workflow for the multifaceted characterization of crisis events based on Twitter data}},
    year = {2020},
    journal = {Journal of Contingencies and Crisis Management},
    author = {Kersten, Jens and Klan, Friederike},
    number = {3},
    pages = {262--280},
    volume = {28},
    doi = {10.1111/1468-5973.12321},
    issn = {14685973},
    keywords = {Twitter, event characterization, natural disasters, spatio-temporal analysis}
}

@article{Fel2021,
    title = {{What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods}},
    year = {2022},
    journal = {Advances in Neural Information Processing Systems},
    author = {Fel, Thomas and Colin, Julien and Cadene, Remi and Serre, Thomas},
    number = {April},
    url = {https://arxiv.org/abs/2112.04417v1},
    arxivId = {2112.04417}
}

@inproceedings{Karadzhov2023,
    title = {{What makes you change your mind? An empirical investigation in online group decision-making conversations}},
    year = {2022},
    booktitle = {SIGDIAL 2022 - 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, Proceedings of the Conference},
    author = {Karadzhov, Georgi and Stafford, Tom and Vlachos, Andreas},
    number = {CSCW2},
    pages = {552--563},
    volume = {7},
    isbn = {9781955917667},
    doi = {10.18653/v1/2022.sigdial-1.52},
    issn = {25730142},
    arxivId = {2207.12035},
    keywords = {collaboration, deliberation, dialogue systems}
}

@article{Olteanu2015,
    title = {{What to expect when the unexpected happens: Social media communications across crises}},
    year = {2015},
    journal = {CSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing},
    author = {Olteanu, Alexandra and Vieweg, Sarah and Castillo, Carlos},
    pages = {994--1009},
    isbn = {9781450329224},
    doi = {10.1145/2675133.2675242},
    keywords = {Emergency Management, Social Media}
}

@article{Pei2023,
    title = {{When Do Annotator Demographics Matter? Measuring the Influence of Annotator Demographics with the POPQUORN Dataset}},
    year = {2023},
    journal = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
    author = {Pei, Jiaxin and Jurgens, David},
    pages = {252--265},
    isbn = {9781959429838},
    doi = {10.18653/v1/2023.law-1.25},
    issn = {0736587X}
}

@inproceedings{Ladhak2023,
    title = {{When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization}},
    year = {2023},
    booktitle = {EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Ladhak, Faisal and Durmus, Esin and Suzgun, Mirac and Zhang, Tianyi and Jurafsky, Dan and McKeown, Kathleen and Hashimoto, Tatsunori},
    pages = {3198--3211},
    isbn = {9781959429449}
}

@inproceedings{Lee2023RevisitingDebiasing,
    title = {{Revisiting the Importance of Amplifying Bias for Debiasing}},
    year = {2023},
    booktitle = {Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023},
    author = {Lee, Jungsoo and Park, Jeonghoon and Kim, Daeyoung and Lee, Juyoung and Choi, Edward and Choo, Jaegul},
    number = {NeurIPS},
    pages = {14974--14981},
    volume = {37},
    isbn = {9781577358800},
    doi = {10.1609/aaai.v37i12.26748},
    issn = {2159-5399},
    arxivId = {2205.14594}
}

@article{Devon2022RobustViews,
    title = {{Robust Contrastive Learning against Noisy Views}},
    year = {2022},
    author = {Devon, Ching-yao Chuang R and Xin, Hjelm and Vibhav, Wang},
    arxivId = {arXiv:2201.04309v1}
}

@article{Sta2022Same,
    title = {{Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models 1 ´}},
    year = {2022},
    author = {Sta, Karolina and Ponti, Edoardo and Torroba, Lucas and Cotterell, Ryan and Augenstein, Isabelle},
    arxivId = {arXiv:2205.02023v3}
}

@article{SenSayCommunication,
    title = {{Say CHEESE : Common Human Emotional Expression Set Encoder and its Application to Analyze Deceptive Communication}},
    author = {Sen, Taylan and Hasan, Kamrul and Tran, Minh and Levin, Matthew and Yang, Yiming and Hoque, Mohammed Ehsan},
    isbn = {9781538623350}
}

@article{YuScalingTuning,
    title = {{Scaling Autoregressive Multi-Modal Models : Pretraining and Instruction Tuning}},
    author = {Yu, Lili and Shi, Bowen and Pasunuru, Ramakanth and Muller, Benjamin and Polyak, Adam and Zhang, Susan},
    pages = {1--19}
}

@article{AclSemanticFramework,
    title = {{Semantic Role Labeling for Emotions : A Unified Evaluation Framework}},
    author = {Acl, Anonymous}
}

@article{Molleri2015SESRAProcess,
    title = {{SESRA – A Web-based Automated Tool to Support the Systematic Literature Review Process}},
    year = {2015},
    author = {Moll{\'{e}}ri, Jefferson Seide},
    keywords = {4, automated tool, automated tool is, given the above, knowledge of complex management, slr, slr processes produces great, systematic literature review, the support of an, volume of information and}
}

@article{Garg2024Stanceformer:Detection,
    title = {{Stanceformer: Target-Aware Transformer for Stance Detection}},
    year = {2024},
    author = {Garg, Krishna and Caragea, Cornelia},
    url = {http://arxiv.org/abs/2410.07083},
    arxivId = {2410.07083}
}

@misc{2023SuperpositionDescent,
    title = {{Superposition, Memorization, and Double Descent}},
    year = {2023},
    booktitle = {Distill},
    url = {https://transformer-circuits.pub/2023/toy-double-d},
    doi = {10.1525/aa.1940.42.4.02a00020},
    issn = {0002-7294}
}

@article{Zitnik2022Target-levelArticles,
    title = {{Target-level sentiment analysis for news articles}},
    year = {2022},
    journal = {Knowledge-Based Systems},
    author = {{\v{Z}}itnik, Slavko and Blagus, Neli and Bajec, Marko},
    pages = {108939},
    volume = {249},
    publisher = {Elsevier B.V.},
    url = {https://doi.org/10.1016/j.knosys.2022.108939},
    doi = {10.1016/j.knosys.2022.108939},
    issn = {0950-7051}
}

@article{Du2021TemplateTransformers,
    title = {{Template Filling with Generative Transformers}},
    year = {2021},
    journal = {NAACL},
    author = {Du, Xinya and Rush, Alexander M and Cardie, Claire},
    pages = {909--914}
}

@article{Friedberg2015TenChallenge,
    title = {{Ten Simple Rules for a Community Computational Challenge}},
    year = {2015},
    author = {Friedberg, Iddo and Wass, Mark N and Mooney, Sean D and Radivojac, Predrag},
    pages = {3--7},
    doi = {10.1371/journal.pcbi.1004150}
}

@article{AskellTheModels,
    title = {{The Capacity for Moral Self-Correction in Large Language Models}},
    author = {Askell, Amanda and Schiefer, Nicholas and Liao, Thomas and Chen, Anna and Goldie, Anna and Mirhoseini, Azalia and Olsson, Catherine and Hernandez, Danny and Drain, Dawn and Li, Dustin and Tran-johnson, Eli and Perez, Ethan and Kernion, Jackson and Kerr, Jamie and Mueller, Jared and Landau, Joshua and Ndousse, Kamal and Nguyen, Karina and Lovitt, Liane and Sellitto, Michael and Elhage, Nelson and Mercado, Noemi and Dassarma, Nova and Lasenby, Robert and Larson, Robin and Ringer, Sam and Kundu, Sandipan and Kadavath, Saurav and Johnston, Scott and Kravec, Shauna and Showk, Sheer El and Lanham, Tamera and Telleen-lawton, Timothy and Henighan, Tom and Hume, Tristan and Bai, Yuntao and Hatfield-dodds, Zac and Mann, Ben and Amodei, Dario and Joseph, Nicholas and Mccandlish, Sam and Brown, Tom and Olah, Christopher and Clark, Jack and Bowman, Samuel R and Kaplan, Jared},
    pages = {1--20},
    arxivId = {arXiv:2302.07459v1}
}

@misc{Crosetto2020TheService,
    title = {{The evolution of wide-area DInSAR: From regional and national services to the European ground motion service}},
    year = {2020},
    booktitle = {Remote Sensing},
    author = {Crosetto, Michele and Solari, Lorenzo and Mr{\'{o}}z, Marek and Balasis-Levinsen, Joanna and Casagli, Nicola and Frei, Michaela and Oyen, Anneleen and Moldestad, Dag Anders and Bateson, Luke and Guerrieri, Luca and Comerci, Valerio and Andersen, Henrik Steen},
    number = {12},
    pages = {1--20},
    volume = {12},
    doi = {10.3390/RS12122043},
    issn = {20724292},
    keywords = {Advanced DInSAR, Copernicus Programme, European ground motion service, National ground motion services, SAR}
}

@article{LlamaTeam2024TheModels,
    title = {{The Llama 3 Herd of Models}},
    year = {2024},
    author = {{Llama Team}},
    pages = {1--92},
    arxivId = {arXiv:2407.21783v2}
}

@article{Dalla-torre2023TheGenomics,
    title = {{The Nucleotide Transformer : Building and Evaluating Robust Foundation Models for Human Genomics}},
    year = {2023},
    author = {Dalla-torre, Hugo and Gonzalez, Liam and Mendoza-revilla, Javier and Carranza, Nicolas Lopez and Grzywaczewski, Adam Henryk and Oteri, Francesco and Dallago, Christian and Trop, Evan and Almeida, Bernardo P De and Sirelkhatim, Hassan and Richard, Guillaume and Skwark, Marcin and Beguir, Karim and Lopez, Marie and Pierrot, Thomas}
}

@article{Hasan2024ThesisModel,
    title = {{Thesis Proposal : Detecting Empathy Using Multimodal Language Model}},
    year = {2024},
    author = {Hasan, Rakibul and Hossain, Zakir and Krishna, Aneesh},
    pages = {338--349}
}

@article{Arakelyan2023Topic-GuidedDetection,
    title = {{Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection}},
    year = {2023},
    author = {Arakelyan, Erik and Arora, Arnav and Augenstein, Isabelle},
    pages = {13448--13464},
    volume = {1}
}

@article{Ding2022TowardsClassification,
    title = {{Towards Open-Domain Topic Classification}},
    year = {2022},
    author = {Ding, Hantian and Yang, Jinrui and Deng, Yuqian and Zhang, Hongming and Roth, Dan},
    pages = {90--98}
}

@article{Upadhyaya2023ToxicityDetection,
    title = {{Toxicity , Morality , and Speech Act Guided Stance Detection}},
    year = {2023},
    author = {Upadhyaya, Apoorva and Fisichella, Marco and Nejdl, Wolfgang},
    pages = {4464--4478}
}

@article{Palma2023TransformingSystems,
    title = {{Transforming LLMs into Cross-modal and Cross-lingual Retrieval Systems}},
    year = {2023},
    author = {Palma, Frank and Ramon, Gomez and Sung, Sanabria Yun-hsuan and Cer, Daniel and Dalmia, Siddharth and Hernandez, Gustavo},
    arxivId = {arXiv:2404.01616v1}
}

@article{Honovich2022UnnaturalLabor,
    title = {{Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor}},
    year = {2022},
    author = {Honovich, Or and Scialom, Thomas and Levy, Omer and Schick, Timo},
    arxivId = {arXiv:2212.09689v1}
}

@misc{Tsiakos2023UseLiterature,
    title = {{Use of Machine Learning and Remote Sensing Techniques for Shoreline Monitoring: A Review of Recent Literature}},
    year = {2023},
    booktitle = {Applied Sciences (Switzerland)},
    author = {Tsiakos, Chrysovalantis Antonios D. and Chalkias, Christos},
    number = {5},
    month = {3},
    volume = {13},
    publisher = {MDPI},
    doi = {10.3390/app13053268},
    issn = {20763417},
    keywords = {coastal erosion, earth observation, geospatial intelligence, literature review, machine learning, shoreline extraction}
}

@inproceedings{Xu2021VideoCLIP:Understanding,
    title = {{VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding}},
    year = {2021},
    booktitle = {EMNLP},
    author = {Xu, Hu and Ghosh, Gargi and Huang, Po-yao and Okhonko, Dmytro and Aghajanyan, Armen},
    arxivId = {arXiv:2109.14084v2}
}

@article{Shi2022VisualReconstruction,
    title = {{Visual Attention Emerges from Recurrent Sparse Reconstruction}},
    year = {2022},
    journal = {arXiv},
    author = {Shi, Baifeng and Song, Yale and Joshi, Neel and Darrell, Trevor and Wang, Xin},
    url = {http://arxiv.org/abs/2204.10962},
    arxivId = {2204.10962}
}

@article{Liu2023VisualTuning,
    title = {{Visual Instruction Tuning}},
    year = {2023},
    author = {Liu, Haotian and Li, Chunyuan and Wu, Qingyang and Lee, Yong Jae},
    number = {NeurIPS},
    pages = {1--25},
    arxivId = {arXiv:2304.08485v2}
}

@inproceedings{Xu2021VLMUnderstanding,
    title = {{VLM : Task-agnostic Video-Language Model Pre-training for Video Understanding}},
    year = {2021},
    booktitle = {ACL},
    author = {Xu, Hu and Ghosh, Gargi and Huang, Po-yao and Arora, Prahal and Aminzadeh, Masoumeh},
    pages = {4227--4239}
}

@article{Zhu2023Weaker,
    title = {{Weaker Than You Think : A Critical Look at Weakly Supervised Learning Performance Improvement ({\%})}},
    year = {2023},
    author = {Zhu, Dawei and Shen, Xiaoyu and Mosbach, Marius and Stephan, Andreas and Klakow, Dietrich and Ai, Amazon Alexa},
    pages = {14229--14253},
    volume = {1}
}

@article{Dufumier2024WHATLEARNING,
    title = {{WHAT TO ALIGN IN MULTIMODAL CONTRASTIVE LEARNING?}},
    year = {2024},
    author = {Dufumier, Benoit and Castillo-Navaro, Javiera and Tuia, Devis and Thiran, Jean-Philippe},
    pages = {1--22},
    arxivId = {arXiv:2409.07402v1}
}
@article{Zheng2024a,
    title = {{When “A Helpful Assistant” Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models}},
    year = {2024},
    journal = {Findings of ACL: EMNLP 2024},
    author = {Zheng, Mingqian and Pei, Jiaxin and Logeswaran, Lajanugen and Lee, Moontae and Jurgens, David},
    pages = {15126--15154}
}

@article{Holz2009,
    title = {{Where robots and virtual agents meet: A survey of social interaction research across milgram's reality-virtuality continuum}},
    year = {2009},
    journal = {International Journal of Social Robotics},
    author = {Holz, Thomas and Dragone, Mauro and O'Hare, G. M.P.},
    number = {1},
    pages = {83--93},
    volume = {1},
    doi = {10.1007/s12369-008-0002-2},
    issn = {18754805},
    keywords = {Human-computer interaction, Human-robot interaction, Mixed reality agents, Social interaction}
}

@article{Xia2020,
    title = {{Which *BERT? A Survey Organizing Contextualized Encoders}},
    year = {2020},
    author = {Xia, Patrick and Wu, Shijie and Van Durme, Benjamin},
    url = {http://arxiv.org/abs/2010.00854},
    arxivId = {2010.00854}
}

@article{Eacl2021a,
    title = {{Which Reviews Predict Editor Choice ?}},
    year = {2021},
    author = {Eacl, Anonymous},
    pages = {1--5}
}

@article{Urrutia2023,
    title = {{Who ' s the Best Detective ? LLMs vs . MLs in Detecting Incoherent Fourth Grade Math Answers}},
    year = {2023},
    journal = {arXiv},
    author = {Urrutia, Felipe and Araya, Roberto},
    arxivId = {2304.11257}
}

@article{Dai2022a,
    title = {{Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers}},
    year = {2022},
    author = {Dai, Damai and Sun, Yutao and Dong, Li and Hao, Yaru and Sui, Zhifang and Wei, Furu},
    url = {http://arxiv.org/abs/2212.10559},
    arxivId = {2212.10559}
}

@article{Perniss2018,
    title = {{Why we should study multimodal language}},
    year = {2018},
    journal = {Frontiers in Psychology},
    author = {Perniss, Pamela},
    number = {JUN},
    pages = {1--5},
    volume = {9},
    doi = {10.3389/fpsyg.2018.01109},
    issn = {16641078},
    keywords = {Communication, Gesture, Language, Multimodality, Sign language}
}

@article{Tedeschi2021,
    title = {{WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER}},
    year = {2021},
    journal = {Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021},
    author = {Tedeschi, Simone and Maiorca, Valentino and Campolungo, Niccolò and Cecconi, Francesco and Navigli, Roberto},
    pages = {2521--2533},
    isbn = {9781955917100},
    doi = {10.18653/v1/2021.findings-emnlp.215}
}

@inproceedings{Zhao2024,
    title = {{WildChat: 1M ChatGPT Interaction Logs in the Wild}},
    year = {2024},
    booktitle = {ICLR},
    author = {Zhao, Wenting and Ren, Xiang and Hessel, Jack and Cardie, Claire and Choi, Yejin and Deng, Yuntian},
    pages = {1--16},
    url = {http://arxiv.org/abs/2405.01470},
    arxivId = {2405.01470}
}

@article{Chen2018b,
    title = {{Wineinformatics: A quantitative analysis of wine reviewers}},
    year = {2018},
    journal = {Fermentation},
    author = {Chen, Bernard and Velchev, Valentin and Palmer, James and Atkison, Travis},
    number = {4},
    pages = {1--16},
    volume = {4},
    doi = {10.3390/fermentation4040082},
    issn = {23115637},
    keywords = {Classification, Computational wine wheel, Wine reviewers ranking, Wineinformatics}
}

@article{Chen2015,
    title = {{Wineinformatics: Applying data mining on wine sensory reviews processed by the computational wine wheel}},
    year = {2015},
    journal = {IEEE International Conference on Data Mining Workshops, ICDMW},
    author = {Chen, Bernard and Rhodes, Christopher and Crawford, Aaron and Hambuchen, Lorri},
    number = {January},
    pages = {142--149},
    volume = {2015-Janua},
    isbn = {9781479942749},
    doi = {10.1109/ICDMW.2014.149},
    issn = {23759259},
    keywords = {Association Rules, Clustering, Data Mining, Data Science, Wine Informatics}
}

@article{li2009winter,
    title = {{Winter wheat yield estimation based on support vector machine regression and multi-temporal remote sensing data.}},
    year = {2009},
    journal = {Transactions of the Chinese Society of Agricultural Engineering},
    author = {Li, Rui and Li, CunJun and Xu, XinGang and Wang, JiHua and Yang, XiaoDong and Huang, WenJiang and Pan, YuChun and {others}},
    number = {7},
    pages = {114--117},
    volume = {25},
    publisher = {Chinese Society of Agricultural Engineering}
}

@inproceedings{Plaza-Del-Arco2024,
    title = {{Wisdom of Instruction-Tuned Language Model Crowds. Exploring Model Label Variation}},
    year = {2024},
    booktitle = {3rd Workshop on Perspectivist Approaches to NLP, NLPerspectives 2024 at LREC-COLING 2024 - Workshop Proceedings},
    author = {Plaza-Del-Arco, Flor Miriam and Nozza, Debora and Hovy, Dirk},
    pages = {19--30},
    isbn = {9782493814234},
    keywords = {ethics, label aggregation, model annotation, model label variation, subjective tasks}
}

@article{Roy2016wisdom,
    title = {{Wisdom of Students: A Consistent Automatic Short Answer Grading Technique}},
    year = {2016},
    journal = {13th Intl. Conference on Natural Language Processing},
    author = {Roy, Shourya and Dandapat, Sandipan and Nagesh, Ajay and Narahari, Y},
    pages = {178--187}
}

@inproceedings{Sahoo2023,
    title = {{With Prejudice to None : A Few-Shot , Multilingual Transfer Learning Approach to Detect Social Bias in Low Resource Languages}},
    year = {2023},
    booktitle = {Findings of ACL: ACL 2023},
    author = {Sahoo, Nihar Ranjan and Mallela, Niteesh and Bhattacharyya, Pushpak},
    pages = {13316--13330}
}

@article{Xu2023,
    title = {{WizardLM: Empowering Large Language Models to Follow Complex Instructions}},
    year = {2023},
    author = {Xu, Can and Sun, Qingfeng and Zheng, Kai and Geng, Xiubo and Zhao, Pu and Feng, Jiazhan and Tao, Chongyang and Jiang, Daxin},
    pages = {1--39},
    url = {http://arxiv.org/abs/2304.12244},
    arxivId = {2304.12244}
}

@article{Ranasinghe2021,
    title = {{WLV-RIT at SemEval-2021 Task 5: A Neural Transformer Framework for Detecting Toxic Spans}},
    year = {2021},
    journal = {SemEval},
    author = {Ranasinghe, Tharindu and Sarkar, Diptanu and Zampieri, Marcos and Ororbia, Alex},
    url = {http://arxiv.org/abs/2104.04630},
    arxivId = {2104.04630}
}

@article{Hendricks2018,
    title = {{Women Also Snowboard: Overcoming Bias in Captioning Models}},
    year = {2018},
    journal = {Proceedings of the European Conference on Computer Vision (ECCV),},
    author = {Hendricks, Lisa Anne and Burns, Kaylee and Saenko, Kate and Darrell, Trevor and Rohrbach, Anna},
    pages = {771--787},
    isbn = {9783030012182},
    doi = {10.1007/978-3-030-01219-9{\_}47},
    issn = {16113349},
    arxivId = {1803.09797},
    keywords = {Caption bias, Image description, Right for the right reasons}
}

@article{Karinshak2023,
    title = {{Working With AI to Persuade: Examining a Large Language Model's Ability to Generate Pro-Vaccination Messages}},
    year = {2023},
    journal = {Proceedings of the ACM on Human-Computer Interaction},
    author = {Karinshak, Elise and Liu, Sunny Xun and Park, Joon Sung and Hancock, Jeffrey T.},
    number = {CSCW1},
    pages = {1--27},
    volume = {7},
    publisher = {Association for Computing Machinery},
    doi = {10.1145/3579592},
    issn = {25730142},
    keywords = {AI-mediated communication, large language models, message factors, natural language processing, persuasion, public health messaging}
}

@article{Friston2021,
    title = {{World model learning and inference}},
    year = {2021},
    journal = {Neural Networks},
    author = {Friston, Karl and Moran, Rosalyn J. and Nagai, Yukie and Taniguchi, Tadahiro and Gomi, Hiroaki and Tenenbaum, Josh},
    pages = {573--590},
    volume = {144},
    publisher = {Elsevier Ltd},
    url = {https://doi.org/10.1016/j.neunet.2021.09.011},
    doi = {10.1016/j.neunet.2021.09.011},
    issn = {18792782},
    pmid = {34634605},
    keywords = {Bayesian inference, Cognitive development, Free energy principle, Generative model, Predictive coding, Probabilistic inference}
}

@article{Narang2020,
    title = {{WT5?! training text-to-text models to explain their predictions}},
    year = {2020},
    journal = {arXiv},
    author = {Narang, Sharan and Raffel, Colin and Lee, Katherine and Roberts, Adam and Fiedel, Noah and Malkan, Karishma},
    issn = {23318422},
    arxivId = {2004.14546}
}

@article{Cho2020,
    title = {{X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers}},
    year = {2020},
    author = {Cho, Jaemin and Lu, Jiasen and Schwenk, Dustin and Hajishirzi, Hannaneh and Kembhavi, Aniruddha},
    url = {http://arxiv.org/abs/2009.11278},
    arxivId = {2009.11278}
}

@inproceedings{Vamvas2020,
    title = {{X-stance: A Multilingual Multi-Target Dataset for Stance Detection}},
    year = {2020},
    booktitle = {SwissText},
    author = {Vamvas, Jannis and Sennrich, Rico},
    arxivId = {arXiv:2003.08385v2}
}

@article{Ali2022,
    title = {{XAI for Transformers: Better Explanations through Conservative Propagation}},
    year = {2022},
    author = {Ali, Ameen and Schnake, Thomas and Eberle, Oliver and Montavon, Grégoire and M{\"{u}}ller, Klaus-Robert and Wolf, Lior},
    url = {http://arxiv.org/abs/2202.07304},
    arxivId = {2202.07304}
}

@article{gunning2019xai,
    title = {{XAI—Explainable artificial intelligence}},
    year = {2019},
    journal = {Science robotics},
    author = {Gunning, David and Stefik, Mark and Choi, Jaesik and Miller, Timothy and Stumpf, Simone and Yang, Guang-Zhong},
    number = {37},
    pages = {eaay7120},
    volume = {4},
    publisher = {American Association for the Advancement of Science}
}

@article{Ohman2020,
    title = {{XED: A multilingual dataset for sentiment analysis and emotion detection}},
    year = {2020},
    journal = {arXiv},
    author = {{\"{O}}hman, Emily and P{\`{a}}mies, Marc and Kajava, Kaisla and Tiedemann, Jörg},
    pages = {6542--6552},
    doi = {10.18653/v1/2020.coling-main.575},
    issn = {23318422},
    arxivId = {2011.01612}
}

@article{Xue2024blip,
    title = {{xGen-MM ( BLIP-3 ): A Family of Open Large Multimodal Models}},
    year = {2024},
    author = {Xue, Le and Shu, Manli and Awadalla, Anas and Wang, Jun and Yan, An},
    pages = {7--11},
    arxivId = {arXiv:2408.08872v2}
}

@article{Liang2020,
    title = {{XGLUE: A new benchmark dataset for cross-lingual pre-training, understanding and generation}},
    year = {2020},
    journal = {arXiv},
    author = {Liang, Yaobo and Duan, Nan and Gong, Yeyun and Wu, Ning and Guo, Fenfei and Qi, Weizhen and Gong, Ming and Shou, Linjun and Jiang, Daxin and Cao, Guihong and Fan, Xiaodong and Zhang, Ruofei and Agrawal, Rahul and Cui, Edward and Wei, Sining and Bharti, Taroon and Qiao, Ying and Chen, Jiun Hung and Wu, Winnie and Liu, Shuguang and Yang, Fan and Campos, Daniel and Majumder, Rangan and Zhou, Ming},
    doi = {10.18653/v1/2020.emnlp-main.484},
    arxivId = {2004.01401}
}

@article{Chi2021b,
    title = {{XLM-E: Cross-lingual Language Model Pre-training via ELECTRA}},
    year = {2021},
    author = {Chi, Zewen and Huang, Shaohan and Dong, Li and Ma, Shuming and Singhal, Saksham and Bajaj, Payal and Song, Xia and Wei, Furu},
    url = {http://arxiv.org/abs/2106.16138},
    arxivId = {2106.16138}
}

@inproceedings{Barbieri2021,
    title = {{XLM-T: A Multilingual Language Model Toolkit for Twitter}},
    year = {2022},
    booktitle = {Workshop on Computational Approaches to Subjectivity, Sentiment {\&} Social Media Analysis @ ACL},
    author = {Barbieri, Francesco and Anke, Luis Espinosa and Camacho-Collados, Jose},
    url = {http://arxiv.org/abs/2104.12250},
    arxivId = {2104.12250}
}

@article{Yang2019,
    title = {{XLNet: Generalized Autoregressive Pretraining for Language Understanding}},
    year = {2019},
    author = {Yang, Zhilin and Dai, Zihang and Yang, Yiming and Carbonell, Jaime and Salakhutdinov, Ruslan and Le, Quoc V.},
    month = {6},
    url = {http://arxiv.org/abs/1906.08237},
    arxivId = {1906.08237}
}

@article{Babu2021,
    title = {{XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale}},
    year = {2021},
    author = {Babu, Arun and Wang, Changhan and Tjandra, Andros and Lakhotia, Kushal and Xu, Qiantong and Goyal, Naman and Singh, Kritika and von Platen, Patrick and Saraf, Yatharth and Pino, Juan and Baevski, Alexei and Conneau, Alexis and Auli, Michael},
    pages = {1--23},
    url = {http://arxiv.org/abs/2111.09296},
    arxivId = {2111.09296}
}

@inproceedings{Fel2022a,
    title = {{Xplique: A Deep Learning Explainability Toolbox}},
    year = {2022},
    booktitle = {Workshop on Explainable Artificial Intelligence for Computer Vision (XAI4CV)},
    author = {Fel, Thomas and Hervier, Lucas and Vigouroux, David and Poche, Antonin and Plakoo, Justin and Cadene, Remi and Chalvidal, Mathieu and Colin, Julien and Boissin, Thibaut and Bethune, Louis and Picard, Agustin and Nicodeme, Claire and Gardes, Laurent and Flandin, Gregory and Serre, Thomas},
    pages = {5--8},
    url = {http://arxiv.org/abs/2206.04394},
    arxivId = {2206.04394}
}

@article{Hu2020,
    title = {{XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization}},
    year = {2020},
    author = {Hu, Junjie and Ruder, Sebastian and Siddhant, Aditya and Neubig, Graham and Firat, Orhan and Johnson, Melvin},
    url = {http://arxiv.org/abs/2003.11080},
    arxivId = {2003.11080}
}

@article{Campos2020,
    title = {{YAKE! Keyword extraction from single documents using multiple local features}},
    year = {2020},
    journal = {Information Sciences},
    author = {Campos, Ricardo and Mangaravite, Vítor and Pasquali, Arian and Jorge, Alípio and Nunes, Célia and Jatowt, Adam},
    pages = {257--289},
    volume = {509},
    publisher = {Elsevier Inc.},
    doi = {10.1016/j.ins.2019.09.013},
    issn = {00200255},
    keywords = {Information extraction, Keyword extraction, Unsupervised Algorithm}
}

@article{Haddadan2020,
    title = {{Yes, we can! Mining arguments in 50 years of US presidential campaign debates}},
    year = {2020},
    journal = {ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference},
    author = {Haddadan, Shohreh and Cabrio, Elena and Villata, Serena},
    pages = {4684--4690},
    isbn = {9781950737482},
    doi = {10.18653/v1/p19-1463}
}

@article{Meroni2021,
    title = {{Yield forecasting with machine learning and small data: What gains for grains?}},
    year = {2021},
    journal = {Agricultural and Forest Meteorology},
    author = {Meroni, Michele and Waldner, François and Seguini, Lorenzo and Kerdiles, Hervé and Rembold, Felix},
    number = {April},
    volume = {308-309},
    doi = {10.1016/j.agrformet.2021.108555},
    issn = {01681923},
    arxivId = {2104.13246},
    keywords = {Agriculture, Machine learning, Meteorological data, Remote sensing, Yield forecasting}
}

@misc{GlennJocher2020,
    title = {{YOLOv5 by Ultralytics}},
    year = {2020},
    author = {Jocher, Glenn},
    pages = {AGPL-3.0},
    publisher = {0000-0001-5950-6979},
    url = {https://github.com/ultralytics/yolov5},
    doi = {10.5281/zenodo.3908559}
}

@misc{Yolov8,
    title = {{Yolov8 by MMYOLO}},
    year = {2023},
    author = {MMYOLO, Contributors},
    url = {https://github.com/open-mmlab/mmyolo/tree/main}
}

@inproceedings{Redmon2016,
    title = {{You only look once: Unified, real-time object detection}},
    year = {2016},
    booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
    author = {Redmon, Joseph and Divvala, Santosh and Girshick, Ross and Farhadi, Ali},
    pages = {779--788},
    volume = {2016-Decem},
    publisher = {IEEE},
    isbn = {9781467388504},
    doi = {10.1109/CVPR.2016.91},
    issn = {10636919},
    arxivId = {1506.02640}
}

@inproceedings{Fort2024,
    title = {{Your Stereotypical Mileage may Vary : Practical Challenges of Evaluating Biases in Multiple Languages and Cultural Contexts}},
    year = {2024},
    booktitle = {LREC-COLING},
    author = {Fort, Karën and Alemany, Laura Alonso and Benotti, Luciana and Bezan{\c{c}}on, Julien and Borg, Claudia and Borg, Marthese and Chen, Yongjian and Ducel, Fanny and Dupont, Yoann and Ivetta, Guido and Li, Zhijian and Mieskes, Margot and Naguib, Marco and Qian, Yuyan and Radaelli, Matteo and Schmeisser-nieto, Wolfgang S and Schulz, Emma Raimundo and Saci, Thiziri and Saidi, Sarah and Marchante, Javier Torroba and Xie, Shilin and Zanotto, Sergio E and N{\'{e}}v{\'{e}}ol, Aurélie and France, Sorbonne Université and France, Université De Lorraine},
    number = {2},
    pages = {17764--17769},
    keywords = {biases, ethics, language models, multilingual}
}

@article{Peng2018,
    title = {{Zero-Shot Deep Domain Adaptation}},
    year = {2018},
    journal = {ECCV},
    author = {Peng, Kuan Chuan and Wu, Ziyan and Ernst, Jan},
    pages = {793--810},
    isbn = {9783030012519},
    doi = {10.1007/978-3-030-01252-6{\_}47},
    issn = {16113349},
    arxivId = {1707.01922},
    keywords = {Domain adaptation, Sensor fusion, Zero-shot}
}

@article{Zhan2019,
    title = {{Zero-shot emotion recognition via affective structural embedding}},
    year = {2019},
    journal = {Proceedings of the IEEE International Conference on Computer Vision},
    author = {Zhan, Chi and She, Dongyu and Zhao, Sicheng and Cheng, Ming Ming and Yang, Jufeng},
    pages = {1151--1160},
    volume = {2019-Octob},
    isbn = {9781728148038},
    doi = {10.1109/ICCV.2019.00124},
    issn = {15505499}
}

@article{Pelicon2020,
    title = {{Zero-Shot Learning for Cross-Lingual News Sentiment Classification}},
    year = {2020},
    author = {Pelicon, Andraž and Pranji, Marko and Miljkovic, Dragana and {\v{S}}krlj, Blaž and Pollak, Senja},
    doi = {10.3390/app10175993},
    keywords = {cross-lingual classification, multilingual transformers, news analysis, sentiment analysis, zero-shot learning}
}

@article{Davison2020a,
    title = {{Zero-Shot Learning in Modern NLP}},
    year = {2020},
    journal = {(Accessed on 2020-09-30)},
    author = {Davison, Joe},
    pages = {1--13},
    url = {https://joeddav.github.io/blog/2020/05/29/ZSL.html}
}

@article{Allaway2020,
    title = {{Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations}},
    year = {2020},
    author = {Allaway, Emily and McKeown, Kathleen},
    url = {http://arxiv.org/abs/2010.03640},
    arxivId = {2010.03640}
}

@article{Allaway2023,
    title = {{Zero-shot stance detection: Paradigms and challenges}},
    year = {2023},
    journal = {Frontiers in Artificial Intelligence},
    author = {Allaway, Emily and McKeown, Kathleen},
    volume = {5},
    doi = {10.3389/frai.2022.1070429},
    issn = {26248212},
    keywords = {domain adaptation, multilingual, stance detection, transfer learning, zero-shot}
}

@inproceedings{Nath2024,
    title = {{“ Any Other Thoughts , Hedgehog ?” Linking Deliberation Chains in Collaborative Dialogues}},
    year = {2024},
    booktitle = {EMNLP},
    author = {Nath, Abhijnan and Venkatesha, Videep and Bradford, Mariah and Chelle, Avyakta and Youngren, Austin and Mabrey, Carlos and Blanchard, Nathaniel and Krishnaswamy, Nikhil}
}

@article{livingstone2020they,
    title = {{“They just don't understand us”: The role of felt understanding in intergroup relations.}},
    year = {2020},
    journal = {Journal of personality and social psychology},
    author = {Livingstone, Andrew G and Fern{\'{a}}ndez Rodriguez, Lucia and Rothers, Adrian},
    number = {3},
    pages = {633},
    volume = {119},
    publisher = {American Psychological Association}
}

@inproceedings{Ribeiro,
    title = {{“Why Should I Trust You?” Explaining the Predictions of Any Classifier}},
    booktitle = {2016},
    author = {Ribeiro, Marco Tulio and Singh, Sameer and Guestrin, Carlos},
    arxivId = {arXiv:1602.04938v1}
}

@inproceedings{Ribeiro2016,
    title = {{“Why Should I Trust You?” Explaining the Predictions of Any Classifier}},
    year = {2016},
    booktitle = {KDD '16 Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
    author = {Tulio Ribeiro, Marco and Singh, Sameer and Guestrin, Carlos},
    pages = {1135--1144},
    address = {San Francisco, California, USA},
    isbn = {0036-5548},
    doi = {10.3109/00365548.2014.954262},
    issn = {16511980},
    pmid = {25262922},
    arxivId = {1602.04938v3},
    keywords = {AmpC, Cefepime, Ertapenem}
}

@article{Gerard2023WildfireSpreadTSPrediction,
    title = {{WildfireSpreadTS : A dataset of multi-modal time series for wildfire spread prediction}},
    year = {2023},
    author = {Gerard, Sebastian and Zhao, Yu and Sullivan, Josephine},
    number = {NeurIPS}
}

@article{GuptaXBDImagery,
    title = {{xBD : A Dataset for Assessing Building Damage from Satellite Imagery}},
    author = {Gupta, Ritwik and Hosfelt, Richard and Sajeev, Sandra and Patel, Nirav and Goodman, Bryce and Doshi, Jigar and Heim, Eric and Choset, Howie and Gaston, Matthew},
    arxivId = {arXiv:1911.09296v1}
}

@inproceedings{Zhao2024ZeroStanceGeneration,
    title = {{ZeroStance : Leveraging ChatGPT for Open-Domain Stance Detection via Dataset Generation}},
    year = {2024},
    booktitle = {ACL},
    author = {Zhao, Chenye and Li, Yingjie and Caragea, Cornelia and Zhang, Yue},
    pages = {13390--13405}
}

@article{Coling2025LLMs,
    title = {{‘ A Woman is More Culturally Knowledgeable than A Man ?’: The Effect of Personas on Cultural Norm Interpretation in LLMs}},
    year = {2025},
    author = {Coling, Anonymous}
}