EMNLP

A linguistically-motivated evaluation methodology for unraveling model's abilities in reading comprehension tasks

Elie Antoine, Frédéric Béchet, Géraldine Damnati, Philippe Langlais

Journal ref Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Nov 2024, Miami, United States. pp.18376-18392

Evaluating Large Language Models along Dimensions of Language Variation: A Systematik Invesdigatiom uv Cross-lingual Generalization

Niyati Bafna, Kenton Murray, David Yarowsky

Comments 21 pages. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Long$^2$RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall

Zehan Qi, Rongwu Xu, Zhijiang Guo, Cunxiang Wang, Hao Zhang, Wei Xu

Comments Accepted to EMNLP'24 (Findings). Camera-ready version

Evaluating LLMs for Targeted Concept Simplification for Domain-Specific Texts

Sumit Asthana, Hannah Rashkin, Elizabeth Clark, Fantine Huot, Mirella Lapata

Comments to appear in proceedings of EMNLP 2024

Journal ref Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Words Matter: Reducing Stigma in Online Conversations about Substance Use with Large Language Models

Layla Bouzoubaa, Elham Aghakhani, Rezvaneh Rezapour

Journal ref In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP); pages 9139 - 9156

Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models

Leonardo Ranaldi, Andrè Freitas

Journal ref Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Improving Quotation Attribution with Fictional Character Embeddings

Gaspard Michel, Elena V. Epure, Romain Hennequin, Christophe Cerisara

Comments EMNLP 2024 (Findings)

GREEN: Generative Radiology Report Evaluation and Error Notation

Sophie Ostmeier, Justin Xu, Zhihong Chen, Maya Varma, Louis Blankemeier, Christian Bluethgen, Arne Edward Michalson, Michael Moseley, Curtis Langlotz, Akshay S Chaudhari, Jean-Benoit Delbrouck

Journal ref https://aclanthology.org/2024.findings-emnlp.21/

Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting

Chen Cai, Zheng Wang, Jianjun Gao, Wenyang Liu, Ye Lu, Runzhong Zhang, Kim-Hui Yap

Comments Accepted by main EMNLP 2024

Fast Matrix Multiplications for Lookup Table-Quantized LLMs

Han Guo, William Brandon, Radostin Cholakov, Jonathan Ragan-Kelley, Eric P. Xing, Yoon Kim

Comments EMNLP 2024 (Findings)

JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models

Ze Wang, Zekun Wu, Xin Guan, Michael Thaler, Adriano Koshiyama, Skylar Lu, Sachin Beepath, Ediz Ertekin, Maria Perez-Ortiz

Comments EMNLP 2024 Findings Paper

Journal ref Findings of the Association for Computational Linguistics EMNLP 2024, 3227-3246 (2024)

Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion

Yannis Flet-Berliac, Nathan Grinsztajn, Florian Strub, Bill Wu, Eugene Choi, Chris Cremer, Arash Ahmadian, Yash Chandak, Mohammad Gheshlaghi Azar, Olivier Pietquin, Matthieu Geist

Comments EMNLP 2024

The Shape of Word Embeddings: Quantifying Non-Isometry With Topological Data Analysis

Ondřej Draganov, Steven Skiena

Comments Submitted to EMNLP Findings 2024. The code used is shared on GitHub: https://github.com/OnDraganov/shape-of-word-embeddings. URL of the publication: "https://aclanthology.org/2024.findings-emnlp.705"

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2024, pages 12080--12099. ACL

FineCops-Ref: A new Dataset and Task for Fine-Grained Compositional Referring Expression Comprehension

Junzhuo Liu, Xuzheng Yang, Weiwei Li, Peng Wang

Comments 18 pages, EMNLP 2024 main

CaT-BENCH: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans

Yash Kumar Lal, Vanya Cohen, Nathanael Chambers, Niranjan Balasubramanian, Raymond Mooney

Comments Accepted to EMNLP 2024 Main Conference

Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models

Jeonghwan Kim, Heng Ji

Comments EMNLP 2024; Main Conference

Improving Summarization with Human Edits

Zonghai Yao, Benjamin J Schloss, Sai P. Selvaraj

Comments Proceedings of the Main Conference on Empirical Methods in Natural Language Processing (EMNLP) 2023

torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP

Yoshitomo Matsubara

Comments Accepted at the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS) at EMNLP 2023

Journal ref Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023)

Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems

Yoshitomo Matsubara, Luca Soldaini, Eric Lind, Alessandro Moschitti

Comments Accepted to EMNLP 2022 as a long paper (Findings). Model code is available at https://github.com/amazon-research/wqa-cerberus

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2022

From Reading to Compressing: Exploring the Multi-document Reader for Prompt Compression

Eunseong Choi, Sunkyung Lee, Minjin Choi, June Park, Jongwuk Lee

Comments Findings of the Association for Computational Linguistics: EMNLP 2024; 21 pages; 10 figures and 7 tables. Code available at https://github.com/eunseongc/R2C

Nash CoT: Multi-Path Inference with Preference Equilibrium

Ziqi Zhang, Cunxiang Wang, Xiong Xiao, Yue Zhang, Donglin Wang

Journal ref EMNLP 2024

Altogether: Image Captioning via Re-aligning Alt-text

Hu Xu, Po-Yao Huang, Xiaoqing Ellen Tan, Ching-Feng Yeh, Jacob Kahn, Christine Jou, Gargi Ghosh, Omer Levy, Luke Zettlemoyer, Wen-tau Yih, Shang-Wen Li, Saining Xie, Christoph Feichtenhofer

Comments accepted by EMNLP 2024; Meta CLIP 1.2 Data Engine

Personality Differences Drive Conversational Dynamics: A High-Dimensional NLP Approach

Julia R. Fischer, Nilam Ram

Comments Published in the Proceedings of the Second Workshop on Social Influence in Conversations (SICon 2024), co-located with EMNLP 2024. This version corrects a labeling error in Table 1

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Weiwei Sun, Lingyong Yan, Xinyu Ma, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren

Comments EMNLP 2023

Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models

Ziqiao Ma, Jacob Sansom, Run Peng, Joyce Chai

Comments EMNLP 2023 (Findings)

On the Universal Truthfulness Hyperplane Inside LLMs

Junteng Liu, Shiqi Chen, Yu Cheng, Junxian He

Comments EMNLP 2024: Camera-ready version

Bayesian Calibration of Win Rate Estimation with LLM Evaluators

Yicheng Gao, Gonghan Xu, Zhe Wang, Arman Cohan

Comments Accepted by EMNLP 2024

Domain adapted machine translation: What does catastrophic forgetting forget and why?

Danielle Saunders, Steve DeNeefe

Comments EMNLP 2024

Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting

Siyi Liu, Yang Li, Jiang Li, Shan Yang, Yunshi Lan

Comments EMNLP 2024 Short

Safely Learning with Private Data: A Federated Learning Framework for Large Language Model

JiaYing Zheng, HaiNan Zhang, LingXiang Wang, WangJie Qiu, HongWei Zheng, ZhiMing Zheng

Comments EMNLP 2024