EMNLP

Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation

Yuhang Zhou, Jing Zhu, Paiheng Xu, Xiaoyu Liu, Xiyao Wang, Danai Koutra, Wei Ai, Furong Huang

Comments EMNLP 2024

DOLOMITES: Domain-Specific Long-Form Methodical Tasks

Chaitanya Malaviya, Priyanka Agrawal, Kuzman Ganchev, Pranesh Srinivasan, Fantine Huot, Jonathan Berant, Mark Yatskar, Dipanjan Das, Mirella Lapata, Chris Alberti

Comments Accepted to TACL; to be presented at EMNLP 2024. Dataset available at https://dolomites-benchmark.github.io

Claim Check-Worthiness Detection: How Well do LLMs Grasp Annotation Guidelines?

Laura Majer, Jan Šnajder

Comments Accepted to WASSA at EMNLP 2024

TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answering

Chuyi Shang, Amos You, Sanjay Subramanian, Trevor Darrell, Roei Herzig

Comments EMNLP 2024 (Main)

Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting Summarization

Md Tahmid Rahman Laskar, Elena Khasanova, Xue-Yong Fu, Cheng Chen, Shashi Bhushan TN

Comments Accepted at EMNLP 2024 (Industry Track)

Downstream Trade-offs of a Family of Text Watermarks

Anirudh Ajith, Sameer Singh, Danish Pruthi

Comments Published at EMNLP Findings 2024

Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks

Konstantin Grotov, Artem Borzilov, Maksim Krivobok, Timofey Bryksin, Yaroslav Zharov

Comments Accepted to EMNLP 2024 System Demonstrations

Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs

Simone Conia, Daniel Lee, Min Li, Umar Farooq Minhas, Saloni Potdar, Yunyao Li

Comments Accepted at EMNLP 2024

Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles

Xiao Pu, Tianxing He, Xiaojun Wan

Comments EMNLP 2024 Findings

Identifying High Consideration E-Commerce Search Queries

Zhiyu Chen, Jason Choi, Besnik Fetahu, Shervin Malmasi

Comments Accepted by EMNLP 2024 (Industry Track)

Observing the Southern US Culture of Honor Using Large-Scale Social Media Analysis

Juho Kim, Michael Guerzhoy

Comments Accepted to SICon Workshop at the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024)

ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuning

Yu-Chen Lin, Wei-Hua Li, Jun-Cheng Chen, Chu-Song Chen

Comments EMNLP Findings 2024

FAME: Towards Factual Multi-Task Model Editing

Li Zeng, Yingyu Shan, Zeming Liu, Jiashu Yao, Yuhang Guo

Comments 9 pages, 3 figures. This paper has been accepted by EMNLP 2024

VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment

Lei Li, Zhihui Xie, Mukai Li, Shunian Chen, Peiyi Wang, Liang Chen, Yazheng Yang, Benyou Wang, Lingpeng Kong, Qi Liu

Comments EMNLP 2024 Main Conference camera-ready version (fixed small typos). This article supersedes arXiv:2312.10665

Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models

Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou

Comments 27 pages, 8 figures, 14 tables, to appear in EMNLP 2024

With Ears to See and Eyes to Hear: Sound Symbolism Experiments with Multimodal Large Language Models

Tyler Loakman, Yucheng Li, Chenghua Lin

Comments Accepted to EMNLP 2024 (Camera Ready)

Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations

Yucheng Jiang, Yijia Shao, Dekun Ma, Sina J. Semnani, Monica S. Lam

Comments EMNLP 2024 Main

Improving Retrieval in Sponsored Search by Leveraging Query Context Signals

Akash Kumar Mohankumar, Gururaj K, Gagan Madan, Amit Singh

Comments Accepted to EMNLP 2024 Industry Track. 10 pages, 10 tables, 1 figure

PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data

Ishaan Watts, Varun Gumma, Aditya Yadavalli, Vivek Seshadri, Manohar Swaminathan, Sunayana Sitaram

Comments Accepted to EMNLP 2024

DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature

Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen

Comments Accepted by EMNLP 2024 Findings; revise format problem

Towards Verifiable Text Generation with Evolving Memory and Self-Reflection

Hao Sun, Hengyi Cai, Bo Wang, Yingyan Hou, Xiaochi Wei, Shuaiqiang Wang, Yan Zhang, Dawei Yin

Comments EMNLP 2024 Main Conference

"We Demand Justice!": Towards Social Context Grounding of Political Texts

Rajkumar Pujari, Chengfei Wu, Dan Goldwasser

Comments Accepted as an oral at EMNLP 2024 main conference

Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue

Yuanxing Liu, Wei-Nan Zhang, Yifan Chen, Yuchi Zhang, Haopeng Bai, Fan Feng, Hengbin Cui, Yongbin Li, Wanxiang Che

Comments EMNLP 2023 Findings

Improving Bilingual Lexicon Induction with Cross-Encoder Reranking

Yaoyiran Li, Fangyu Liu, Ivan Vulić, Anna Korhonen

Comments Findings of EMNLP 2022

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2022, pages 4100-4116

ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarization

Xiutian Zhao, Ke Wang, Wei Peng

Comments In EMNLP 2023

Seeing Through VisualBERT: A Causal Adventure on Memetic Landscapes

Dibyanayan Bandyopadhyay, Mohammed Hasanuzzaman, Asif Ekbal

Comments Accepted at EMNLP Findings 2024

Instruction-Driven Game Engine: A Poker Case Study

Hongqiu Wu, Xingyuan Liu, Yan Wang, Hai Zhao

Comments EMNLP 2024 Demo. arXiv admin note: substantial text overlap with arXiv:2404.00276

Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification

Zeren Shui, Petros Karypis, Daniel S. Karls, Mingjian Wen, Saurav Manchanda, Ellad B. Tadmor, George Karypis

Comments To be appear as a Findings paper at EMNLP 2024

Mitigating Biases to Embrace Diversity: A Comprehensive Annotation Benchmark for Toxic Language

Xinmeng Hou

Comments 12 pages, 9 figures, EMNLP-NLP4DH 2024

Advancing Large Language Model Attribution through Self-Improving

Lei Huang, Xiaocheng Feng, Weitao Ma, Liang Zhao, Yuchun Fan, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin

Comments Accepted by EMNLP 2024 Main Conference