EMNLP 2023 Conference Submissions

Poisoning Retrieval Corpora by Injecting Adversarial Passages
Zexuan Zhong, Ziqing Huang, Alexander Wettig, Danqi Chen
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
Struct-XLM: A Structure Discovery Multilingual Language Model for Enhancing Cross-lingual Transfer through Reinforcement Learning
Linjuan Wu, Weiming Lu
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
Model-tuning Via Prompts Makes NLP Models Adversarially Robust
Mrigank Raman, Pratyush Maini, J Zico Kolter, Zachary Chase Lipton, Danish Pruthi
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
Do Language Models Have a Common Sense regarding Time? Revisiting Temporal Commonsense Reasoning in the Era of Large Language Models
Raghav Jain, Daivik Sojitra, Arkadeep Acharya, Sriparna Saha, Adam Jatowt, Sandipan Dandapat
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
SWEET - Weakly Supervised Person Name Extraction for Fighting Human Trafficking
Javin Liu, Hao Yu, Vidya Sujaya, Pratheeksha Nair, Kellin Pelrine, Reihaneh Rabbany
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Findings
- Readers: Everyone
TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference
Xin Zhou, Yi Lu, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Findings
- Readers: Everyone
Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought
Vaishnavi Himakunthala, Andy Ouyang, Daniel Philip Rose, Ryan He, Alex Mei, Yujie Lu, Chinmay Sonar, Michael Saxon, William Yang Wang
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
Analyzing Norm Violations in Live-Stream Chat
Jihyung Moon, Dong-Ho Lee, Hyundong Justin Cho, Woojeong Jin, Chan Young Park, Minwoo Kim, Jonathan May, Jay Pujara, Sungjoon Park
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
TokenDrop + BucketSampler: Towards Efficient Padding-free Fine-tuning of Language Models
Amrit Nagarajan, Anand Raghunathan
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Findings
- Readers: Everyone
Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction
Cam Van Thi Nguyen, Tuan Anh Mai, Son Le The, Dang Hai Kieu, Duc-Trong Le
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
Detecting Syntactic Change with Pre-trained Transformer Models
Liwen Hou, David A. Smith
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Findings
- Readers: Everyone
Information Extraction from Legal Wills: How Well Does GPT-4 Do?
Alice Saebom Kwak, Cheonkam Jeong, Gaetano Vincent Forte, Derek Bambauer, Clayton T Morrison, Mihai Surdeanu
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Findings
- Readers: Everyone
KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models
Jiho Kim, Yeonsu Kwon, Yohan Jo, Edward Choi
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Findings
- Readers: Everyone
R$^3$ Prompting: Review, Rephrase and Resolve for Chain-of-Thought Reasoning in Large Language Models under Noisy Context
Qingyuan Tian, Hanlun Zhu, Lei Wang, Yang Li, Yunshi Lan
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Findings
- Readers: Everyone
DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding
Thong Thanh Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy T Nguyen, See-Kiong Ng, Anh Tuan Luu
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Findings
- Readers: Everyone
A Language Model with Limited Memory Capacity Captures Interference in Human Sentence Processing
William Timkey, Tal Linzen
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Findings
- Readers: Everyone
Learn and Consolidate: Continual Adaptation for Zero-Shot and Multilingual Neural Machine Translation
Kaiyu Huang, Peng Li, Junpeng Liu, Maosong Sun, Yang Liu
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
GPT-RE: In-context Learning for Relation Extraction using Large Language Models
Zhen Wan, Fei Cheng, Zhuoyuan Mao, Qianying Liu, Haiyue Song, Jiwei Li, Sadao Kurohashi
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
When and Why Does Bias Mitigation Work?
Abhilasha Ravichander, Joe Stacey, Marek Rei
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Findings
- Readers: Everyone
Unifying Text, Tables, and Images for Multimodal Question Answering
Haohao Luo, Ying Shen, Yang Deng
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Findings
- Readers: Everyone
A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check
Haojing Huang, Jingheng Ye, Qingyu Zhou, Yinghui Li, Yangning Li, Feng Zhou, Hai-Tao Zheng
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Findings
- Readers: Everyone
One-Model-Connects-All: A Unified Graph Pre-Training Model for Online Community Modeling
Ruoxue Ma, Jiarong Xu, Xinnong Zhang, Haozhe Zhang, Zuyu Zhao, Qi Zhang, Xuanjing Huang, zhongyu wei
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Findings
- Readers: Everyone
CRT-QA: A Dataset of Complex Reasoning Question Answering over Tabular Data
Zhehao Zhang, Xitao Li, Yan Gao, Jian-Guang Lou
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
Can you Summarize my learnings? Towards Perspective-based Educational Dialogue Summarization
Raghav Jain, Tulika Saha, Jhagrut Lalwani, Sriparna Saha
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Findings
- Readers: Everyone
When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks
Eve Fleisig, Rediet Abebe, Dan Klein
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone