EMNLP

PrivacyMind: Large Language Models Can Be Contextual Privacy Protection Learners

Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Quanquan Gu, Haifeng Chen, Wei Wang, Wei Cheng

Comments Accepted at EMNLP 2024 Main

Any Other Thoughts, Hedgehog? Linking Deliberation Chains in Collaborative Dialogues

Abhijnan Nath, Videep Venkatesha, Mariah Bradford, Avyakta Chelle, Austin Youngren, Carlos Mabrey, Nathaniel Blanchard, Nikhil Krishnaswamy

Comments Accepted at Findings of EMNLP 2024

Taxonomy-guided Semantic Indexing for Academic Paper Search

SeongKu Kang, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, Hwanjo Yu

Comments EMNLP'24

Visual Text Matters: Improving Text-KVQA with Visual Text Entity Knowledge-aware Large Multimodal Assistant

Abhirama Subramanyam Penamakuri, Anand Mishra

Comments Accepted to EMNLP (Main) 2024

RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework

Yifan Wang, Vera Demberg

Comments Accepted to EMNLP 2024 (main conference)

Link, Synthesize, Retrieve: Universal Document Linking for Zero-Shot Information Retrieval

Dae Yon Hwang, Bilal Taha, Harshit Pande, Yaroslav Nechaev

Comments Accepted for publication at EMNLP 2024 Main Conference

Rationale-Aware Answer Verification by Pairwise Self-Evaluation

Akira Kawabata, Saku Sugawara

Comments EMNLP 2024

TinyAgent: Function Calling at the Edge

Lutfi Eren Erdogan, Nicholas Lee, Siddharth Jha, Sehoon Kim, Ryan Tabrizi, Suhong Moon, Coleman Hooper, Gopala Anumanchipalli, Kurt Keutzer, Amir Gholami

Comments EMNLP 2024 Demo

Not (yet) the whole story: Evaluating Visual Storytelling Requires More than Measuring Coherence, Grounding, and Repetition

Aditya K Surikuchi, Raquel Fernández, Sandro Pezzelle

Comments In proceedings of EMNLP 2024 (Findings)

GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuning

Aleksander Ficek, Jiaqi Zeng, Oleksii Kuchaiev

Comments EMNLP 2024

Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?

Wataru Hashimoto, Hidetaka Kamigaito, Taro Watanabe

Comments Accepted to EMNLP 2024 main conference

STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical Question-Answering

Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, Zhiqiang Tao

Comments EMNLP 2024 Main conference

Editing the Mind of Giants: An In-Depth Exploration of Pitfalls of Knowledge Editing in Large Language Models

Cheng-Hsun Hsueh, Paul Kuo-Ming Huang, Tzu-Han Lin, Che-Wei Liao, Hung-Chieh Fang, Chao-Wei Huang, Yun-Nung Chen

Comments EMNLP 2024 Findings

Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval

Jonghyun Song, Cheyon Jin, Wenlong Zhao, Andrew McCallum, Jay-Yoon Lee

Comments accepted to EMNLP 2024 main track

Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction

Sizhe Zhou, Yu Meng, Bowen Jin, Jiawei Han

Comments 25 pages, 20 Tables, 9 Figures; Accepted to EMNLP 2024

README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP

Zonghai Yao, Nandyala Siddharth Kantu, Guanghao Wei, Hieu Tran, Zhangqi Duan, Sunjae Kwon, Zhichao Yang, README annotation team, Hong Yu

Comments To appear in Findings of the Association for Computational Linguistics: EMNLP 2024. We sincerely appreciate the tremendous efforts of the entire README annotation team throughout the expert annotation process of the README dataset

Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization

George Chrysostomou, Zhixue Zhao, Miles Williams, Nikolaos Aletras

Comments TACL 2024 (Presented at EMNLP 2024)

Journal ref Transactions of the Association for Computational Linguistics (2024) 12: 1163-1181

Schema-Guided Culture-Aware Complex Event Simulation with Multi-Agent Role-Play

Sha Li, Revanth Gangi Reddy, Khanh Duy Nguyen, Qingyun Wang, May Fung, Chi Han, Jiawei Han, Kartik Natarajan, Clare R. Voss, Heng Ji

Comments Accepted as EMNLP 2024 Demo

SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness

Tanmay Parekh, Jeffrey Kwan, Jiarui Yu, Sparsh Johri, Hyosang Ahn, Sreya Muppalla, Kai-Wei Chang, Wei Wang, Nanyun Peng

Comments Accepted at EMNLP 2024

STTATTS: Unified Speech-To-Text And Text-To-Speech Model

Hawau Olamide Toyin, Hao Li, Hanan Aldarmaki

Comments 11 pages, 4 Figures, EMNLP 2024 Findings

Understanding Players as if They Are Talking to the Game in a Customized Language: A Pilot Study

Tianze Wang, Maryam Honari-Jahromi, Styliani Katsarou, Olga Mikheeva, Theodoros Panagiotakopoulos, Oleg Smirnov, Lele Cao, Sahar Asadi

Comments published in Workshop on Customizable NLP at EMNLP 2024

LongGenBench: Long-context Generation Benchmark

Xiang Liu, Peijie Dong, Xuming Hu, Xiaowen Chu

Comments EMNLP 2024 https://github.com/Dominic789654/LongGenBench

A Training Data Recipe to Accelerate A* Search with Language Models

Devaansh Gupta, Boyang Li

Comments Accepted to Findings of EMNLP, 2024

Self-training Language Models for Arithmetic Reasoning

Marek Kadlčík, Michal Štefánik

Comments To appear in Findings of EMNLP 2024. Reproducible implementations and references to resulting models can be found on https://github.com/prompteus/calc-x

Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrieval

Kazuaki Furumai, Roberto Legaspi, Julio Vizcarra, Yudai Yamazaki, Yasutaka Nishimura, Sina J. Semnani, Kazushi Ikeda, Weiyan Shi, Monica S. Lam

Comments Findings of EMNLP 2024

"Vorbeşti Româneşte?" A Recipe to Train Powerful Romanian LLMs with English Instructions

Mihai Masala, Denis C. Ilie-Ablachim, Alexandru Dima, Dragos Corlatescu, Miruna Zavelca, Ovio Olaru, Simina Terian, Andrei Terian, Marius Leordeanu, Horia Velicu, Marius Popescu, Mihai Dascalu, Traian Rebedea

Comments Accepted at The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024 Findings). arXiv admin note: text overlap with arXiv:2405.07703

CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation

Renhao Li, Minghuan Tan, Derek F. Wong, Min Yang

Comments Accepted to the main conference of EMNLP 2024

ADELIE: Aligning Large Language Models on Information Extraction

Yunjia Qi, Hao Peng, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li

Comments Accepted at EMNLP 2024. Camera-ready version

Head-wise Shareable Attention for Large Language Models

Zouying Cao, Yifei Yang, Hai Zhao

Comments 17 pages, 7 figures, 21 tables, EMNLP'24 Findings

MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language Models Fine-tuning

Jingfan Zhang, Yi Zhao, Dan Chen, Xing Tian, Huanran Zheng, Wei Zhu

Comments Accepted by EMNLP 2024 Findings. arXiv admin note: substantial text overlap with arXiv:2405.18203