@string{TSP = "IEEE Trans. Sig. Proc."}
@string{JMLR = "J. Machine Learning Res."}
@string{JSTSP = "IEEE J. Sel. Topics Sig. Proc."}
@string{JSAC = "IEEE J. Sel. Areas Commun."}
@string{TWC = "IEEE Trans. Wireless Commun."}
@string{TVT = "IEEE Trans. Veh. Technol."}
@string{SPM = "IEEE Sig. Proc. Mag."}
@string{TIT = "IEEE Trans. Info. Theory"}
@string{TMC = "IEEE Trans. Mobile Comput."}
@string{TMI = "IEEE Trans. Medical Imaging"}
@string{NIPS= "Proc. Advances in Neural Information Processing Systems"}
@string{ICML= "Proc. International Conference on Machine Learning"}
@string{ICLR= "Proc. International Conference on Learning Representations"}
@string{AISTATS= "Proc. International Conference on Artificial Intelligence and Statistics"}
@string{AAAI= "Proc. Association for the Advancement of Artificial Intelligence"}
@string{ICASSP= "Proc. IEEE International Conference on Acoustics, Speech and Signal Processing"}
@string{UAI = "The Annual Conference on Uncertainty in Artificial Intelligence"}
@string{EMNLP = "Conference on Empirical Methods in Natural Language Processing"}



@article{reddy2019coqa,
      title={{CoQA}: A Conversational Question Answering Challenge}, 
      author={Siva Reddy and Danqi Chen and Christopher D. Manning},
      journal={Transactions of the Association for Computational Linguistics},
      volume={7},
      pages={249--266},
      year={2019}
}

@inproceedings{joshi2017triviaqa,
    author = {Mandar Joshi and Eunsol Choi and Daniel Weld and Luke Zettlemoyer},
    title = {TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension},
    booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
    pages = {1601–1611},
    year = {2017}
}


@article{kwiatkowski2019nq,
    author = {Tom Kwiatkowski and Jennimaria Palomaki and Olivia Redfield and Michael Collins and Ankur Parikh and Chris Alberti and Danielle Epstein and Illia Polosukhin and Jacob Devlin and Kenton Lee and Kristina Toutanova and Llion Jones and Matthew Kelcey and Ming-Wei Chang and Andrew M. Dai and Jakob Uszkoreit and Quoc Le and Slav Petrov},
    title = {Natural questions: A benchmark for question answering research},
    journal = {Transactions of the Association for Computational Linguistics},
    volume = {7},
    pages = {452–466},
    year = {2019}
}

@misc{li2024petsql,
      title={PET-SQL: A Prompt-enhanced Two-stage Text-to-SQL Framework with Cross-consistency}, 
      author={Zhishuai Li and Xiang Wang and Jingjing Zhao and Sun Yang and Guoqing Du and Xiaoru Hu and Bin Zhang and Yuxiao Ye and Ziyue Li and Rui Zhao and Hangyu Mao},
      year={2024},
      eprint={2403.09732},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@inproceedings{giordani2012,
    author = {Alessandra Giordani and Alessandro Moschitti},
    title = {Translating questions to SQL queries with generative parsers discriminatively reranked},
    booktitle = {Proceedings of COLING}, 
    year = {2012}
}

@inproceedings{popescu2003,
  title={Towards a theory of natural language interfaces to databases},
  author={Popescu, Ana-Maria and Etzioni, Oren and Kautz, Henry},
  booktitle={Proceedings of the 8th international conference on Intelligent user interfaces},
  pages={149--157},
  year={2003}
}

@article{liang2013,
  title={Learning dependency-based compositional semantics},
  author={Liang, Percy and Jordan, Michael I and Klein, Dan},
  journal={Computational Linguistics},
  volume={39},
  number={2},
  pages={389--446},
  year={2013}
}

@inproceedings{zettlemoyer2005uai,
    author = {Luke S. Zettlemoyer and Michael Collins},
    title = {Learning to map sentences to logical form: structured classification with probabilistic categorial grammars},
    booktitle = UAI,
    year = {2005}
}

@inproceedings{manakul2023selfcheckgpt,
      title={SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models}, 
      author={Potsawee Manakul and Adian Liusie and Mark J. F. Gales},
      year={2023},
      booktitle=EMNLP
}

@article{xiong2024llms,
title={Can {LLM}s Express Their Uncertainty? {A}n Empirical Evaluation of Confidence Elicitation in {LLM}s}, 
author={Miao Xiong and Zhiyuan Hu and Xinyang Lu and Yifei Li and Jie Fu and Junxian He and Bryan Hooi},
      year={2024},
      eprint={2306.13063},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}


@inproceedings{aouiche2006clustering,
  title={Clustering-based materialized view selection in data warehouses},
  author={Aouiche, Kamel and Jouve, Pierre-Emmanuel and Darmont, J{\'e}r{\^o}me},
  booktitle={East European conference on advances in databases and information systems},
  pages={81--95},
  year={2006},
  organization={Springer}
}

@article{aligon2014similarity,
  title={Similarity measures for OLAP sessions},
  author={Aligon, Julien and Golfarelli, Matteo and Marcel, Patrick and Rizzi, Stefano and Turricchia, Elisa},
  journal={Knowledge and information systems},
  volume={39},
  pages={463--489},
  year={2014},
  publisher={Springer}
}

@inproceedings{makiyama2015text,
  title={Text Mining Applied to SQL Queries: A Case Study for the SDSS SkyServer.},
  author={Makiyama, Vitor Hirota and Raddick, M Jordan and Santos, Rafael DC},
  booktitle={SIMBig},
  pages={66--72},
  year={2015}
}


@article{openai;gpt4;2023,
  title={GPT-4 Technical Report},
  author={Achiam, Josh and Adler, Steven and Agarwal, Sandhini and others},
  journal={arXiv:2303.08774},
  year={2023}
}

@inproceedings{brown;neurips;2020,
  title={Language models are few-shot learners},
  author={Brown, Tom and Mann, Benjamin and Ryder, Nick and  others},
  journal=NIPS,
  pages={1877--1901},
  year={2020}
}

@inproceedings{kojima;neurips;2022,
 author = {Kojima, Takeshi and Gu, Shixiang (Shane) and Reid, Machel and others},
 booktitle = NIPS,
 title = {Large Language Models are Zero-Shot Reasoners},
 year = {2022}
}

@inproceedings{wei2023chainofthought,
title={Chain-of-Thought Prompting Elicits Reasoning in Large Language Models}, 
author={Jason Wei and Xuezhi Wang and Dale Schuurmans and others},
booktitle=NIPS,
year={2022}
}

@article{bommasani,
journal={arXiv:2108.07258},
author = {Bommasani, Rishi and Hudson, Drew A. and Adeli, Ehsan and others},
title = {On the Opportunities and Risks of Foundation Models},
  publisher = {arXiv preprint arXiv:2108.07258},
  year = {2021}
}

@article{amodei2016concrete,
title={Concrete Problems in {AI} Safety}, 
author={Dario Amodei and Chris Olah and Jacob Steinhardt and others},
year={2016},
journal={arXiv preprint arXiv:1606.06565}
}


@inproceedings{varshney2023,
  author       = {Neeraj Varshney and Chitta Baral},
  title        = {Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in {QA}},
  booktitle    = {Proceedings of the Association for Computational Linguistics},
  pages        = {967--982},
  publisher    = {Association for Computational Linguistics},
  year         = {2023}
}

@article{lin2022teaching,
  title={Teaching Models to Express Their Uncertainty in Words},
  author={Lin, Stephanie and Hilton, Jacob and Evans, Owain},
journal={Transactions on Machine Learning Research},
  year={2022}
}

@inproceedings{kuhn2022semantic,
title={Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation},
author={Kuhn, Lorenz and Gal, Yarin and Farquhar, Sebastian},
booktitle=ICLR,
year={2022}
}



@article{lin2023generating,
  title={Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models},
  author={Lin, Zhen and Trivedi, Shubhendu and Sun, Jimeng},
  journal={Transactions on Machine Learning Research},
  year={2023}
}

@inproceedings{
anonymous2023can,
title={Can {LLM}s Express Their Uncertainty? {A}n Empirical Evaluation of Confidence Elicitation in {LLM}s},
author={Xiong, Miao and Hu, Zhiyuan and Lu, Xinyang and LI, YIFEI and Fu, Jie and He, Junxian and Hooi, Bryan},
booktitle=ICLR,
year={2024}
}

% Text2SQL papers

@inproceedings{pourreza2024din,
  title={{DIN-SQL}: Decomposed in-context learning of text-to-{SQL} with self-correction},
  author={Pourreza, Mohammadreza and Rafiei, Davood},
  booktitle=NIPS,
  volume={36},
  year={2024}
}

@inproceedings{li2024can,
  title={Can {LLM} already serve as a database interface? {A} big bench for large-scale database grounded text-to-{SQL}s},
  author={Li, Jinyang and Hui, Binyuan and Qu, Ge and Yang, Jiaxi and Li, Binhua and Li, Bowen and Wang, Bailin and Qin, Bowen and Geng, Ruiying and Huo, Nan and others},
  booktitle=NIPS,
  volume={36},
  year={2024}
}

@inproceedings{bhaskar2023benchmarking,
  title={Benchmarking and Improving Text-to-SQL Generation under Ambiguity},
  author={Bhaskar, Adithya and Tomar, Tushar and Sathe, Ashutosh and Sarawagi, Sunita},
  booktitle=EMNLP,
  pages={7053--7074},
  year={2023}
}

@misc{awasthi2023structured,
      title={Structured Case-based Reasoning for Inference-time Adaptation of Text-to-SQL parsers}, 
      author={Abhijeet Awasthi and Soumen Chakrabarti and Sunita Sarawagi},
      year={2023},
      eprint={2301.04110},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@inproceedings{yu2018spider,
  title={Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task},
  author={Yu, Tao and Zhang, Rui and Yang, Kai and Yasunaga, Michihiro and Wang, Dongxu and Li, Zifan and Ma, James and Li, Irene and Yao, Qingning and Roman, Shanelle and others},
  booktitle=EMNLP,
  pages={3911--3921},
  year={2018}
}

@inproceedings{tai2023exploring,
  title={Exploring Chain of Thought Style Prompting for Text-to-SQL},
  author={Tai, Chang-Yu and Chen, Ziru and Zhang, Tianshu and Deng, Xiang and Sun, Huan},
  booktitle=EMNLP,
  pages={5376--5393},
  year={2023}
}

@inproceedings{zelle1996learning,
  title={Learning to parse database queries using inductive logic programming},
  author={Zelle, John M and Mooney, Raymond J},
  booktitle={Proceedings of the national conference on artificial intelligence},
  pages={1050--1055},
  year={1996}
}

@inproceedings{iyer2017learning,
  title={Learning a Neural Semantic Parser from User Feedback},
  author={Iyer, Srinivasan and Konstas, Ioannis and Cheung, Alvin and Krishnamurthy, Jayant and Zettlemoyer, Luke},
  booktitle={Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  pages={963--973},
  year={2017}
}

@inproceedings{zhong2017seq2sql,
  title={Seq2sql: Generating structured queries from natural language using reinforcement learning},
  author={Zhong, Victor and Xiong, Caiming and Socher, Richard},
  booktitle=ICLR,
  year={2018}
}

@inproceedings{scholak2021picard,
  title={PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models},
  author={Scholak, Torsten and Schucher, Nathan and Bahdanau, Dzmitry},
  booktitle=EMNLP,
  pages={9895--9901},
  year={2021}
}

@inproceedings{shaw2021compositional,
  title={Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both?},
  author={Shaw, Peter and Chang, Ming-Wei and Pasupat, Panupong and Toutanova, Kristina},
  booktitle={Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)},
  pages={922--938},
  year={2021}
}

@article{gao2023text,
  title={Text-to-{SQL} empowered by large language models: A benchmark evaluation},
  author={Gao, Dawei and Wang, Haibin and Li, Yaliang and Sun, Xiuyu and Qian, Yichen and Ding, Bolin and Zhou, Jingren},
  journal={Proceedings of the VLDB Endowment},
  volume={17},
  number={5},
  pages={1132--1145},
  year={2024}
}


% UQ papers

@article{mielke-etal-2022-reducing,
    title = "Reducing Conversational Agents{'} Overconfidence Through Linguistic Calibration",
    author = "Mielke, Sabrina J.  and
      Szlam, Arthur  and
      Dinan, Emily  and
      Boureau, Y-Lan",
    editor = "Roark, Brian  and
      Nenkova, Ani",
    journal = "Transactions of the Association for Computational Linguistics",
    volume = "10",
    year = "2022",
    address = "Cambridge, MA",
    publisher = "MIT Press",
    doi = "10.1162/tacl_a_00494",
    pages = "857--872"
}

@article{kadavath2022language,
  title={Language models (mostly) know what they know},
  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 others},
  journal={arXiv preprint arXiv:2207.05221},
  year={2022}
}

@article{chen2023quantifying,
  title={Quantifying uncertainty in answers from any language model via intrinsic and extrinsic confidence assessment},
  author={Chen, Jiuhai and Mueller, Jonas},
  journal={arXiv preprint arXiv:2308.16175},
  year={2023}
}

@inproceedings{tian2023just,
  title={Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback},
  author={Tian, Katherine and Mitchell, Eric and Zhou, Allan and Sharma, Archit and Rafailov, Rafael and Yao, Huaxiu and Finn, Chelsea and Manning, Christopher D},
  booktitle=EMNLP,
  pages={5433--5442},
  year={2023}
}

@inproceedings{hu2023prompting,
  title={Prompting is not a substitute for probability measurements in large language models},
  author={Hu, Jennifer and Levy, Roger},
  booktitle=EMNLP,
  pages={5040--5060},
  year={2023}
}

@misc{mishra2024granite,
      title={Granite Code Models: A Family of Open Foundation Models for Code Intelligence}, 
      author={Mayank Mishra and Matt Stallone and Gaoyuan Zhang and Yikang Shen and Aditya Prasad and Adriana Meza Soria and Michele Merler and Parameswaran Selvam and Saptha Surendran and Shivdeep Singh and Manish Sethi and Xuan-Hong Dang and Pengyuan Li and Kun-Lung Wu and Syed Zawad and Andrew Coleman and Matthew White and Mark Lewis and Raju Pavuluri and Yan Koyfman and Boris Lublinsky and Maximilien de Bayser and Ibrahim Abdelaziz and Kinjal Basu and Mayank Agarwal and Yi Zhou and Chris Johnson and Aanchal Goyal and Hima Patel and Yousaf Shah and Petros Zerfos and Heiko Ludwig and Asim Munawar and Maxwell Crouse and Pavan Kapanipathi and Shweta Salaria and Bob Calio and Sophia Wen and Seetharami Seelam and Brian Belgodere and Carlos Fonseca and Amith Singhee and Nirmit Desai and David D. Cox and Ruchir Puri and Rameswar Panda},
      year={2024},
      eprint={2405.04324},
      archivePrefix={arXiv},
      primaryClass={cs.AI}
}

@misc{rozière2024code,
      title={Code Llama: Open Foundation Models for Code}, 
      author={Baptiste Rozière and Jonas Gehring and Fabian Gloeckle and Sten Sootla and Itai Gat and Xiaoqing Ellen Tan and Yossi Adi and Jingyu Liu and Romain Sauvestre and Tal Remez and Jérémy Rapin and Artyom Kozhevnikov and Ivan Evtimov and Joanna Bitton and Manish Bhatt and Cristian Canton Ferrer and Aaron Grattafiori and Wenhan Xiong and Alexandre Défossez and Jade Copet and Faisal Azhar and Hugo Touvron and Louis Martin and Nicolas Usunier and Thomas Scialom and Gabriel Synnaeve},
      year={2024},
      eprint={2308.12950},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@misc{guo2024deepseekcoder,
      title={DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence}, 
      author={Daya Guo and Qihao Zhu and Dejian Yang and Zhenda Xie and Kai Dong and Wentao Zhang and Guanting Chen and Xiao Bi and Y. Wu and Y. K. Li and Fuli Luo and Yingfei Xiong and Wenfeng Liang},
      year={2024},
      eprint={2401.14196},
      archivePrefix={arXiv},
      primaryClass={cs.SE}
}

@inproceedings{deng2021structure,
   title={Structure-Grounded Pretraining for Text-to-SQL},
   booktitle={Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
   publisher={Association for Computational Linguistics},
   author={Deng, Xiang and Awadallah, Ahmed Hassan and Meek, Christopher and Polozov, Oleksandr and Sun, Huan and Richardson, Matthew},
   year={2021} }

@article{murphy1967verification,
  title={Verification of probabilistic predictions: A brief review},
  author={Murphy, Allan H and Epstein, Edward S},
  journal={Journal of Applied Meteorology and Climatology},
  volume={6},
  number={5},
  pages={748--755},
  year={1967}
}

@article{dawid1982well,
  title={The well-calibrated {B}ayesian},
  author={Dawid, A Philip},
  journal={Journal of the American Statistical Association},
  volume={77},
  number={379},
  pages={605--610},
  year={1982},
  publisher={Taylor \& Francis}
}

@inproceedings{cole2023selectively,
  title={Selectively Answering Ambiguous Questions},
  author={Cole, Jeremy and Zhang, Michael and Gillick, Dan and Eisenschlos, Julian and Dhingra, Bhuwan and Eisenstein, Jacob},
  booktitle=EMNLP,
  pages={530--543},
  year={2023}
}

@inproceedings{tang2022preqr,
author = {Tang, Xiu and Wu, Sai and Song, Mingli and Ying, Shanshan and Li, Feifei and Chen, Gang},
title = {PreQR: Pre-training Representation for SQL Understanding},
booktitle={Proceedings of the 2022 international conference on management of data},
  pages={204--216},
  year={2022}
}

@inproceedings{nixon2019measuring,
  title={Measuring calibration in deep learning.},
  author={Nixon, Jeremy and Dusenberry, Michael W and Zhang, Linchuan and Jerfel, Ghassen and Tran, Dustin},
  booktitle={The IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  volume={2},
  year={2019}
}

@inproceedings{nadeem2009accuracy,
  title={Accuracy-rejection curves (ARCs) for comparing classification methods with a reject option},
  author={Nadeem, Malik Sajjad Ahmed and Zucker, Jean-Daniel and Hanczar, Blaise},
  booktitle={Machine Learning in Systems Biology},
  pages={65--81},
  year={2009},
  organization={PMLR}
}

@inproceedings{hu2021lora,
  title={Lora: Low-rank adaptation of large language models},
  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},
  booktitle=ICLR,
  year={2022}
}

@article{el2010foundations,
  title={On the Foundations of Noise-free Selective Classification.},
  author={El-Yaniv, Ran and others},
  journal={Journal of Machine Learning Research},
  volume={11},
  number={5},
  year={2010}
}

@inproceedings{kamath2020selective,
  title={Selective Question Answering under Domain Shift},
  author={Kamath, Amita and Jia, Robin and Liang, Percy},
  booktitle={Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
  pages={5684--5696},
  year={2020}
}

@inproceedings{zhu2024hot,
  title={Hot or Cold? {A}daptive Temperature Sampling for Code Generation with Large Language Models},
  author={Zhu, Yuqi and Li, Jia and Li, Ge and Zhao, YunFei and Jin, Zhi and Mei, Hong},
  booktitle=AAAI,
  volume={38},
  pages={437--445},
  year={2024}
}

@inproceedings{xiong2024proximity,
  title={Proximity-informed calibration for deep neural networks},
  author={Xiong, Miao and Deng, Ailin and Koh, Pang Wei W and Wu, Jiaying and Li, Shen and Xu, Jianqing and Hooi, Bryan},
  booktitle=NIPS,
  volume={36},
  year={2024}
}

@article{stengel2023calibrated,
  title={Calibrated Interpretation: Confidence Estimation in Semantic Parsing},
  author={Stengel-Eskin, Elias and Van Durme, Benjamin},
  journal={Transactions of the Association for Computational Linguistics},
  volume={11},
  pages={1213--1231},
  year={2023}
}

@InProceedings{xsum-emnlp,
  author =      "Shashi Narayan and Shay B. Cohen and Mirella Lapata",
  title =       "Don't Give Me the Details, Just the Summary! {T}opic-Aware Convolutional Neural Networks for Extreme Summarization",
  booktitle =   "Conference on Empirical Methods in Natural Language Processing ",
  year =        "2018"
}

@inproceedings{see-etal-2017-get,
    title = "Get To The Point: Summarization with Pointer-Generator Networks",
    author = "See, Abigail  and
      Liu, Peter J.  and
      Manning, Christopher D.",
    booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2017",
    pages = "1073--1083"
}

@inproceedings{HermannKGEKSB15,
  author={Karl Moritz Hermann and Tomás Kociský and Edward Grefenstette and Lasse Espeholt and Will Kay and Mustafa Suleyman and Phil Blunsom},
  title={Teaching Machines to Read and Comprehend},
  year={2015},
  pages={1693-1701},
  booktitle=NIPS,
}

@misc{MetaLlama3,
  title = {Introducing Meta Llama 3: The most capable openly available {LLM} to date},
  author= {Meta},
  howpublished = {\url{https://ai.meta.com/blog/meta-llama-3/}},
  year={2024},
  note = {Accessed: 2024-06-14}
}

@misc{mistral8x7b,
  title = {Mixtral of experts},
  author= {MistralAI},
  howpublished = {\url{https://mistral.ai/news/mixtral-of-experts/}},
  year={2023},
  note = {Accessed: 2024-06-14}
}

@inproceedings{xiao2019quantifying,
  title={Quantifying Uncertainties in Natural Language Processing Tasks},
  author={Xiao, Yijun and Wang, William Yang},
  booktitle=AAAI,
  volume={33},
  number={01},
  pages={7322--7329},
  year={2019}
}

@article{touvron2023llama,
  title={Llama 2: Open foundation and fine-tuned chat models},
  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 others},
  journal={arXiv preprint arXiv:2307.09288},
  year={2023}
}

@InProceedings{gal16,
  title = {Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning},
  author = {Gal, Yarin and Ghahramani, Zoubin},
  booktitle = 	 ICML,
  pages = 	 {1050--1059},
  year = 	{2016}
}

@inproceedings{ren2023outofdistribution,
title={Out-of-Distribution Detection and Selective Generation for Conditional Language Models},
author={Jie Ren and Jiaming Luo and Yao Zhao and Kundan Krishna and Mohammad Saleh and Balaji Lakshminarayanan and Peter J Liu},
booktitle=ICLR,
year={2023}
}

@inproceedings{
chen2023adaptation,
title={Adaptation with Self-Evaluation to Improve Selective Prediction in {LLM}s},
author={Jiefeng Chen and Jinsung Yoon and Sayna Ebrahimi and Sercan O Arik and Tomas Pfister and Somesh Jha},
booktitle=EMNLP,
year={2023},
pages = {5190--5213}
}

@inproceedings{ulmer-etal-2024-calibrating,
title = "Calibrating Large Language Models Using Their Generations Only",
author = "Ulmer, Dennis  and Gubri, Martin  and Lee, Hwaran  and Yun, Sangdoo  and Oh, Seong",
booktitle = "Proceedings of the Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
year = "2024",
pages = "15440--15459"
}

@inproceedings{kapoor-etal-2024-calibration,
title = "Calibration-Tuning: Teaching Large Language Models to Know What They Don{'}t Know",
author = "Kapoor, Sanyam  and
Gruver, Nate  and
Roberts, Manley  and
Pal, Arka  and
Dooley, Samuel  and
Goldblum, Micah  and
Wilson, Andrew",
booktitle = "Proceedings of the 1st Workshop on Uncertainty-Aware NLP (UncertaiNLP 2024)",
year = "2024",
pages = "1--14"
}

@inproceedings{spuq,
author = {Xiang Gao and Jiaxin Zhang and Lalla Mouatadid and Kamalika Das},
title = {{SPUQ}: {P}erturbation-Based Uncertainty Quantification for Large Language Models},
booktitle = {Proceedings of the European Chapter of the Association for Computational Linguistics},
pages = {2336--2346},
year = {2024}
}
