EMNLP

Systematic Evaluation of Long-Context LLMs on Financial Concepts

Lavanya Gupta, Saket Sharma, Yiyun Zhao

Comments Accepted at EMNLP 2024

Journal ref In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing Industry Track, Miami, Florida, US, Association for Computational Linguistics

Trustful LLMs: Customizing and Grounding Text Generation with Knowledge Bases and Dual Decoders

Xiaofeng Zhu, Jaya Krishna Mandivarapu

Journal ref EMNLP CustomNLP4U 2024

Improving Zero-shot LLM Re-Ranker with Risk Minimization

Xiaowei Yuan, Zhao Yang, Yequan Wang, Jun Zhao, Kang Liu

Comments EMNLP 2024

Low-Resource Machine Translation through the Lens of Personalized Federated Learning

Viktor Moskvoretskii, Nazarii Tupitsa, Chris Biemann, Samuel Horváth, Eduard Gorbunov, Irina Nikishina

Comments EMNLP 2024

Dynamic Planning for LLM-based Graphical User Interface Automation

Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen, Xinbei Ma, Muyun Yang, Tiejun Zhao, Min Zhang

Comments EMNLP 2024

Alignment-Enhanced Decoding:Defending via Token-Level Adaptive Refining of Probability Distributions

Quan Liu, Zhenhong Zhou, Longzhu He, Yi Liu, Wei Zhang, Sen Su

Comments Accepted by EMNLP 2024, 15 pages, 5 figures

Hypothesis Generation with Large Language Models

Yangqiaoyu Zhou, Haokun Liu, Tejes Srivastava, Hongyuan Mei, Chenhao Tan

Comments 28 pages, 6 figures, code link: https://github.com/ChicagoHAI/hypothesis_generation. Accepted by the 1st Workshop on NLP for Science (NLP4Science) at EMNLP 2024

MedCoT: Medical Chain of Thought via Hierarchical Expert

Jiaxiang Liu, Yuan Wang, Jiawei Du, Joey Tianyi Zhou, Zuozhu Liu

Journal ref EMNLP 2024

Systematic Biases in LLM Simulations of Debates

Amir Taubenfeld, Yaniv Dover, Roi Reichart, Ariel Goldstein

Comments Published as a conference paper at EMNLP 2024

Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting

Tong Ye, Yangkai Du, Tengfei Ma, Lingfei Wu, Xuhong Zhang, Shouling Ji, Wenhai Wang

Comments Accepted by AAAI 2025; previously submitted to EMNLP 2023

Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models

Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Sarath Chandar

Comments Published as a long paper at the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP). Official version of paper within conference proceedings is available at http://aclanthology.org/2024.emnlp-main.332

Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent

Xiaoyan Yu, Tongxu Luo, Yifan Wei, Fangyu Lei, Yiming Huang, Hao Peng, Liehuang Zhu

Comments EMNLP 2024

InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration

Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen

Comments 14 pages, 7 figures, EMNLP 2024 Findings

Unsupervised Named Entity Disambiguation for Low Resource Domains

Debarghya Datta, Soumajit Pramanik

Comments Accepted in EMNLP-2024

Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning

Daniele Rege Cambrin, Giuseppe Gallipoli, Irene Benedetto, Luca Cagliero, Paolo Garza

Comments Accepted in EMNLP 2024 Findings

Chain and Causal Attention for Efficient Entity Tracking

Erwan Fagnou, Paul Caillon, Blaise Delattre, Alexandre Allauzen

Comments 15 pages, 5 figures, EMNLP 2024 Main

BiMediX: Bilingual Medical Mixture of Experts LLM

Sara Pieri, Sahal Shaji Mullappilly, Fahad Shahbaz Khan, Rao Muhammad Anwer, Salman Khan, Timothy Baldwin, Hisham Cholakkal

Comments Accepted to EMNLP 2024 (Findings)

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2024, pages 16984-17002

AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models

Jiale Cheng, Yida Lu, Xiaotao Gu, Pei Ke, Xiao Liu, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang

Comments EMNLP 2024 findings

Unsupervised Human Preference Learning

Sumuk Shashidhar, Abhinav Chinta, Vaibhav Sahai, Dilek Hakkani-Tür

Comments EMNLP 2024 Main Conference

Journal ref EMNLP 2024

Householder Pseudo-Rotation: A Novel Approach to Activation Editing in LLMs with Direction-Magnitude Perspective

Van-Cuong Pham, Thien Huu Nguyen

Comments EMNLP 2024

Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence

Junru Lu, Jiazheng Li, Siyu An, Meng Zhao, Yulan He, Di Yin, Xing Sun

Comments EMNLP 2024 Main, Final Version

Split and Merge: Aligning Position Biases in LLM-based Evaluators

Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao, Yang Liu

Comments Accepted by EMNLP 2024. Please cite the conference version of this paper, e.g., "Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao, and Yang Liu. 2024. Split and Merge: Aligning Position Biases in LLM-based Evaluators. (EMNLP 2024)"

Scalable Data Ablation Approximations for Language Models through Modular Training and Merging

Clara Na, Ian Magnusson, Ananya Harsh Jha, Tom Sherborne, Emma Strubell, Jesse Dodge, Pradeep Dasigi

Comments EMNLP 2024. 17 pages

On the Proper Treatment of Tokenization in Psycholinguistics

Mario Giulianelli, Luca Malagutti, Juan Luis Gastaldi, Brian DuSell, Tim Vieira, Ryan Cotterell

Comments Main conference long paper at EMNLP 2024. New version: copy-editing and updated bib

DiversityMedQA: Assessing Demographic Biases in Medical Diagnosis using Large Language Models

Rajat Rawat, Hudson McBride, Dhiyaan Nirmal, Rajarshi Ghosh, Jong Moon, Dhruv Alamuri, Sean O'Brien, Kevin Zhu

Comments Published in NLP4PI @ EMNLP 2024, Accepted to AIM-FM @ NeurIPS 2024

Benchmarking Foundation Models on Exceptional Cases: Dataset Creation and Validation

Suho Kang, Jungyang Park, Joonseo Ha, SoMin Kim, JinHyeong Kim, Subeen Park, Kyungwoo Song

Comments EMNLP 2024 Workshop Genbench(https://genbench.org/workshop_programme/)

Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models

Seungone Kim, Juyoung Suk, Shayne Longpre, Bill Yuchen Lin, Jamin Shin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo

Comments EMNLP 2024 (Main Conference)

Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extraction

Zheye Deng, Chunkit Chan, Weiqi Wang, Yuxi Sun, Wei Fan, Tianshi Zheng, Yauwai Yim, Yangqiu Song

Comments Accepted to EMNLP 2024

If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions

Reza Esfandiarpoor, Cristina Menghini, Stephen H. Bach

Comments EMNLP 2024

Knowledge Mechanisms in Large Language Models: A Survey and Perspective

Mengru Wang, Yunzhi Yao, Ziwen Xu, Shuofei Qiao, Shumin Deng, Peng Wang, Xiang Chen, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang

Comments EMNLP 2024 Findings; 39 pages (v4)