EMNLP

SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales

Tianyang Xu, Shujin Wu, Shizhe Diao, Xiaoze Liu, Xingyao Wang, Yangyi Chen, Jing Gao

Comments EMNLP 2024 Main

PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals

Ruiyi Wang, Stephanie Milani, Jamie C. Chiu, Jiayin Zhi, Shaun M. Eack, Travis Labrum, Samuel M. Murphy, Nev Jones, Kate Hardy, Hong Shen, Fei Fang, Zhiyu Zoey Chen

Comments EMNLP 2024 Main, 9 pages, 5 figures

MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning

Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Haotian Sun, Hang Wu, Carl Yang, May D. Wang

Comments Accepted in EMNLP 2024 main conference

Evaluating Readability and Faithfulness of Concept-based Explanations

Meng Li, Haoran Jin, Ruixuan Huang, Zhihao Xu, Defu Lian, Zijia Lin, Di Zhang, Xiting Wang

Comments EMNLP 2024; code: https://github.com/hr-jin/Concept-Explanation-Evaluation

BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers

Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May D. Wang, Joyce C. Ho, Chao Zhang, Carl Yang

Comments Accepted to EMNLP 2024. The model and data are uploaded to \url{https://github.com/ritaranx/BMRetriever}

Journal ref EMNLP 2024

Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice?

Dawei Zhu, Pinzhen Chen, Miaoran Zhang, Barry Haddow, Xiaoyu Shen, Dietrich Klakow

Comments EMNLP 2024 Main

Aligning Language Models to Explicitly Handle Ambiguity

Hyuhng Joon Kim, Youna Kim, Cheonbok Park, Junyeob Kim, Choonghyun Park, Kang Min Yoo, Sang-goo Lee, Taeuk Kim

Comments EMNLP 2024 (main)

Can Language Models Recognize Convincing Arguments?

Paula Rescala, Manoel Horta Ribeiro, Tiancheng Hu, Robert West

Comments Accepted to EMNLP Findings, please cite accordingly

LUQ: Long-text Uncertainty Quantification for LLMs

Caiqi Zhang, Fangyu Liu, Marco Basaldella, Nigel Collier

Comments EMNLP 2024 Main

Cross-lingual Contextualized Phrase Retrieval

Huayang Li, Deng Cai, Zhi Qu, Qu Cui, Hidetaka Kamigaito, Lemao Liu, Taro Watanabe

Comments Accepted to Findings of EMNLP 2024

Is this the real life? Is this just fantasy? The Misleading Success of Simulating Social Interactions With LLMs

Xuhui Zhou, Zhe Su, Tiwalayo Eisape, Hyunwoo Kim, Maarten Sap

Comments EMNLP 2024

Aligners: Decoupling LLMs and Alignment

Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin

Comments Short version accepted as a Tiny Paper at the International Conference on Learning Representations (ICLR) 2024. Long version accepted to the Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024 Findings

"Flex Tape Can't Fix That": Bias and Misinformation in Edited Language Models

Karina Halevy, Anna Sotnikova, Badr AlKhamissi, Syrielle Montariol, Antoine Bosselut

Comments Accepted to EMNLP 2024 Main. 9 pages, 4 figures

DetoxLLM: A Framework for Detoxification with Explanations

Md Tawkat Islam Khondaker, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan

Comments EMNLP 2024 Main Conference

CommVQA: Situating Visual Question Answering in Communicative Contexts

Nandita Shankar Naik, Christopher Potts, Elisa Kreiss

Comments EMNLP 2024 camera ready version

Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments

Yu Gu, Yiheng Shu, Hao Yu, Xiao Liu, Yuxiao Dong, Jie Tang, Jayanth Srinivasa, Hugo Latapie, Yu Su

Comments EMNLP'2024; 18 pages, 8 figures, 8 tables

Are ELECTRA's Sentence Embeddings Beyond Repair? The Case of Semantic Textual Similarity

Ivan Rep, David Dukić, Jan Šnajder

Comments Accepted at EMNLP 2024 Findings

Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy

Liyan Xu, Zhenlin Su, Mo Yu, Jin Xu, Jinho D. Choi, Jie Zhou, Fei Liu

Comments Accepted to EMNLP 2024 Findings

Standardize: Aligning Language Models with Expert-Defined Standards for Content Generation

Joseph Marvin Imperial, Gail Forey, Harish Tayyar Madabushi

Comments Camera-ready for EMNLP 2024 (Main)

AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies

Xiao Ye, Andrew Wang, Jacob Choi, Yining Lu, Shreya Sharma, Lingfeng Shen, Vijay Tiyyala, Nicholas Andrews, Daniel Khashabi

Comments Accepted to EMNLP 2024 (Main)

TrustAgent: Towards Safe and Trustworthy LLM-based Agents

Wenyue Hua, Xianjun Yang, Mingyu Jin, Zelong Li, Wei Cheng, Ruixiang Tang, Yongfeng Zhang

Comments In EMNLP 2024

Do We Need Language-Specific Fact-Checking Models? The Case of Chinese

Caiqi Zhang, Zhijiang Guo, Andreas Vlachos

Comments EMNLP 2024 Main

EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records

Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce Ho, Carl Yang, May D. Wang

Comments Accepted in EMNLP 2024 main conference

Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding

Lifu Tu, Semih Yavuz, Jin Qu, Jiacheng Xu, Rui Meng, Caiming Xiong, Yingbo Zhou

Comments EMNLP 2024 Main

On the Potential and Limitations of Few-Shot In-Context Learning to Generate Metamorphic Specifications for Tax Preparation Software

Dananjay Srinivas, Rohan Das, Saeid Tizpaz-Niari, Ashutosh Trivedi, Maria Leonor Pacheco

Comments Accepted to the Proceedings of the Natural Legal Language Processing Workshop, EMNLP 2023

StorySparkQA: Expert-Annotated QA Pairs with Real-World Knowledge for Children's Story-Based Learning

Jiaju Chen, Yuxuan Lu, Shao Zhang, Bingsheng Yao, Yuanzhe Dong, Ying Xu, Yunyao Li, Qianwen Wang, Dakuo Wang, Yuling Sun

Comments Accepted at EMNLP 2024 Main Conference

Wrapper Boxes: Faithful Attribution of Model Predictions to Training Data

Yiheng Su, Junyi Jessy Li, Matthew Lease

Journal ref The seventh edition of BlackboxNLP Workshop at EMNLP 2024

Large Language Models are In-context Teachers for Knowledge Reasoning

Jiachen Zhao, Zonghai Yao, Zhichao Yang, Hong Yu

Comments EMNLP 24 Findings

Data Augmentation for Code Translation with Comparable Corpora and Multiple References

Yiqing Xie, Atharva Naik, Daniel Fried, Carolyn Rose

Comments EMNLP 2023 Findings (with minor updates on the flowcharts)

Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs

Zifeng Ding, Jingcheng Wu, Jingpei Wu, Yan Xia, Volker Tresp

Comments Findings of EMNLP 2024