EMNLP

ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering

Yifan Wu, Lutao Yan, Leixian Shen, Yunhai Wang, Nan Tang, Yuyu Luo

Comments EMNLP 2024 Conference Paper

V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization

Yuxi Xie, Guanzhen Li, Xiao Xu, Min-Yen Kan

Comments EMNLP 2024 Findings; 9 pages, 6 figures, 5 tables (16 pages, 8 figures, 8 tables including references and appendices)

Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models

Kai Yao, Penglei Gao, Lichun Li, Yuan Zhao, Xiaofeng Wang, Wei Wang, Jianke Zhu

Comments EMNLP 2024

ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent Systems

Andrew Zhu, Liam Dugan, Chris Callison-Burch

Comments EMNLP 2024 (Demo Track)

On Evaluating Explanation Utility for Human-AI Decision Making in NLP

Fateme Hashemi Chaleshtori, Atreya Ghosal, Alexander Gill, Purbid Bambroo, Ana Marasović

Comments EMNLP Findings 2024; 10 pages main, 7 pages references, 32 pages appendix

DEM: Distribution Edited Model for Training with Mixed Data Distributions

Dhananjay Ram, Aditya Rawal, Momchil Hardalov, Nikolaos Pappas, Sheng Zha

Comments Accepted to EMNLP 2024 (Main Conference)

Decoding Matters: Addressing Amplification Bias and Homogeneity Issue for LLM-based Recommendation

Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng

Comments Accepted at EMNLP 2024 Main Conference

GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models

Shilong Li, Yancheng He, Hangyu Guo, Xingyuan Bu, Ge Bai, Jie Liu, Jiaheng Liu, Xingwei Qu, Yangguang Li, Wanli Ouyang, Wenbo Su, Bo Zheng

Comments [EMNLP 2024] The first four authors contributed equally, 29 pages

ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors

Zhexin Zhang, Yida Lu, Jingyuan Ma, Di Zhang, Rui Li, Pei Ke, Hao Sun, Lei Sha, Zhifang Sui, Hongning Wang, Minlie Huang

Comments 19 pages. Camera ready version of EMNLP 2024 Findings

Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers

Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Bahareh Sarrafzadeh, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, Tara Safavi

Comments Accepted to Workshop on Customizable NLP at EMNLP 2024

Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention

Xingtai Lv, Ning Ding, Kaiyan Zhang, Ermo Hua, Ganqu Cui, Bowen Zhou

Comments Accepted to EMNLP 2024 (Main Conference)

Crafting Tomorrow's Headlines: Neural News Generation and Detection in English, Turkish, Hungarian, and Persian

Cem Üyük, Danica Rovó, Shaghayegh Kolli, Rabia Varol, Georg Groh, Daryna Dementieva

Comments EMNLP 2024 NLP4PI Workshop

A Novel Metric for Measuring the Robustness of Large Language Models in Non-adversarial Scenarios

Samuel Ackerman, Ella Rabinovich, Eitan Farchi, Ateret Anaby-Tavor

Comments Published in the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) findings

Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruning

Zhili Shen, Pavlos Vougiouklis, Chenxin Diao, Kaustubh Vyas, Yuanyi Ji, Jeff Z. Pan

Comments EMNLP 2024 Main

A LLM-Based Ranking Method for the Evaluation of Automatic Counter-Narrative Generation

Irune Zubiaga, Aitor Soroa, Rodrigo Agerri

Comments Accepted for Findings of the Association for Computational Linguistics: EMNLP 2024

AmbigNLG: Addressing Task Ambiguity in Instruction for NLG

Ayana Niwa, Hayate Iso

Comments EMNLP 2024 (main)

Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups

Răzvan-Alexandru Smădu, David-Gabriel Ion, Dumitru-Clementin Cercel, Florin Pop, Mihaela-Claudia Cercel

Comments 37 pages, 16 figures, Accepted by EMNLP 2024

Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM

Haw-Shiuan Chang, Nanyun Peng, Mohit Bansal, Anil Ramakrishna, Tagyoung Chung

Comments EMNLP 2024 Oral

Do LLMs Know to Respect Copyright Notice?

Jialiang Xu, Shenglan Li, Zhaozhuo Xu, Denghui Zhang

Comments EMNLP 2024 main

Retrieval-enriched zero-shot image classification in low-resource domains

Nicola Dall'Asen, Yiming Wang, Enrico Fini, Elisa Ricci

Comments Accepted to EMNLP 2024 (Main)

TROPE: TRaining-Free Object-Part Enhancement for Seamlessly Improving Fine-Grained Zero-Shot Image Captioning

Joshua Feinglass, Yezhou Yang

Comments Accepted to EMNLP 2024 Findings

How Personality Traits Influence Negotiation Outcomes? A Simulation based on Large Language Models

Yin Jou Huang, Rafik Hadfi

Comments Findings of EMNLP 2024

A Simple and Effective $L_2$ Norm-Based Strategy for KV Cache Compression

Alessio Devoto, Yu Zhao, Simone Scardapane, Pasquale Minervini

Comments This is an extended version of a paper published in the proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024); this version was presented at the 4th NeurIPS Workshop on Efficient Natural Language and Speech Processing (ENLSP-IV)

Monotonic Paraphrasing Improves Generalization of Language Model Prompting

Qin Liu, Fei Wang, Nan Xu, Tianyi Yan, Tao Meng, Muhao Chen

Comments EMNLP 2024 Camera Ready

LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering

Qingfei Zhao, Ruobing Wang, Yukuo Cen, Daren Zha, Shicheng Tan, Yuxiao Dong, Jie Tang

Comments EMNLP 2024 Main, Final

$\texttt{MixGR}$: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity

Fengyu Cai, Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Iryna Gurevych, Heinz Koeppl

Comments EMNLP 2024 Main Conference

Regression-aware Inference with LLMs

Michal Lukasik, Harikrishna Narasimhan, Aditya Krishna Menon, Felix Yu, Sanjiv Kumar

Comments EMNLP Findings 2024

Journal ref EMNLP Findings 2024

Multi-expert Prompting Improves Reliability, Safety, and Usefulness of Large Language Models

Do Xuan Long, Duong Ngoc Yen, Anh Tuan Luu, Kenji Kawaguchi, Min-Yen Kan, Nancy F. Chen

Comments EMNLP 2024 Main Conference

GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains

Yang Janet Liu, Tatsuya Aoyama, Wesley Scivetti, Yilun Zhu, Shabnam Behzad, Lauren Elizabeth Levine, Jessica Lin, Devika Tiwari, Amir Zeldes

Comments Accepted to EMNLP 2024 (main, long); camera-ready version

Learning to Rank Salient Content for Query-focused Summarization

Sajad Sotudeh, Nazli Goharian

Comments Long paper accepted at EMNLP 2024 (Main)