EMNLP

Preserving Pre-trained Representation Space: On Effectiveness of Prefix-tuning for Large Multi-modal Models

Donghoon Kim, Gusang Lee, Kyuhong Shim, Byonghyo Shim

Comments Findings of EMNLP 2024

Revisiting the Impact of Pursuing Modularity for Code Generation

Deokyeong Kang, Ki Jung Seo, Taeuk Kim

Comments EMNLP 2024 Findings

Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language Use

Jiajun Xi, Yinong He, Jianing Yang, Yinpei Dai, Joyce Chai

Comments EMNLP 2024 Main. Project website: https://github.com/sled-group/Teachable_RL

Nearest Neighbor Normalization Improves Multimodal Retrieval

Neil Chowdhury, Franklin Wang, Sumedh Shenoy, Douwe Kiela, Sarah Schwettmann, Tristan Thrush

Journal ref EMNLP 2024

Commonsense Knowledge Editing Based on Free-Text in LLMs

Xiusheng Huang, Yequan Wang, Jun Zhao, Kang Liu

Comments 11 pages, 8 figures

Journal ref EMNLP 2024

Efficient and Interpretable Grammatical Error Correction with Mixture of Experts

Muhammad Reza Qorib, Alham Fikri Aji, Hwee Tou Ng

Comments Findings of EMNLP 2024

uOttawa at LegalLens-2024: Transformer-based Classification Experiments

Nima Meghdadi, Diana Inkpen

Comments Just accepted at the the EMNLP conference

Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers?

Neeladri Bhuiya, Viktor Schlegel, Stefan Winkler

Comments 15 pages, 3 figures, EMNLP 2024 Main Conference

Implicit Personalization in Language Models: A Systematic Study

Zhijing Jin, Nils Heil, Jiarui Liu, Shehzaad Dhuliawala, Yahang Qi, Bernhard Schölkopf, Rada Mihalcea, Mrinmaya Sachan

Comments EMNLP 2024 Findings

INDUS: Effective and Efficient Language Models for Scientific Applications

Bishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka, Muthukumaran Ramasubramanian, Takuma Udagawa, Iksha Gurung, Nishan Pantha, Rong Zhang, Bharath Dandala, Rahul Ramachandran, Manil Maskey, Kaylin Bugbee, Mike Little, Elizabeth Fancher, Irina Gerasimov, Armin Mehrabian, Lauren Sanders, Sylvain Costes, Sergi Blanco-Cuaresma, Kelly Lockhart, Thomas Allen, Felix Grezes, Megan Ansdell, Alberto Accomazzi, Yousef El-Kurdi, Davis Wertheimer, Birgit Pfitzmann, Cesar Berrospi Ramis, Michele Dolfi, Rafael Teixeira de Lima, Panagiotis Vagenas, S. Karthik Mukkavilli, Peter Staar, Sanaz Vahidinia, Ryan McGranaghan, Tsendgar Lee

Comments EMNLP 2024 (Industry Track)

Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions

Lucie-Aimée Kaffee, Arnav Arora, Isabelle Augenstein

Comments This submission has been accepted to 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)

Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation

Ruiyu Xiao, Lei Wu, Yuhang Gou, Weinan Zhang, Ting Liu

Comments EMNLP 2024

Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents

Jaekyeom Kim, Dong-Ki Kim, Lajanugen Logeswaran, Sungryull Sohn, Honglak Lee

Comments EMNLP 2024 Findings

A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents

Ankan Mullick, Sombit Bose, Abhilash Nandy, Gajula Sai Chaitanya, Pawan Goyal

Comments Accepted at EMNLP 2024 Findings (Long Paper)

ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models

Benjamin Newman, Yoonjoo Lee, Aakanksha Naik, Pao Siangliulue, Raymond Fok, Juho Kim, Daniel S. Weld, Joseph Chee Chang, Kyle Lo

Comments EMNLP 2024, 21 pages, 8 figures, 10 tables

Improving Spoken Language Modeling with Phoneme Classification: A Simple Fine-tuning Approach

Maxime Poli, Emmanuel Chemla, Emmanuel Dupoux

Comments Accepted at EMNLP 2024 main conference. 9 pages, 4 figures

M$^2$PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning

Taowen Wang, Yiyang Liu, James Chenhao Liang, junhan zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu

Comments EMNLP 2024

Reward Difference Optimization For Sample Reweighting In Offline RLHF

Shiqi Wang, Zhengze Zhang, Rui Zhao, Fei Tan, Cam Tu Nguyen

Comments EMNLP 2024 findings

Exploring Design Choices for Building Language-Specific LLMs

Atula Tejaswi, Nilesh Gupta, Eunsol Choi

Comments Accepted to EMNLP 2024 Findings

R^2AG: Incorporating Retrieval Information into Retrieval Augmented Generation

Fuda Ye, Shuangyin Li, Yongqi Zhang, Lei Chen

Comments Accepted to EMNLP 2024 Findings

Data Contamination Can Cross Language Barriers

Feng Yao, Yufan Zhuang, Zihao Sun, Sunan Xu, Animesh Kumar, Jingbo Shang

Comments EMNLP 2024 Main camera-ready version

Recent Advances in Hate Speech Moderation: Multimodality and the Role of Large Models

Ming Shan Hee, Shivam Sharma, Rui Cao, Palash Nandi, Preslav Nakov, Tanmoy Chakraborty, Roy Ka-Wei Lee

Comments Accepted at EMNLP'24 (Findings)

Summarization-Based Document IDs for Generative Retrieval with Language Models

Haoxin Li, Daniel Cheng, Phillip Keung, Jungo Kasai, Noah A. Smith

Comments To appear at the NLP for Wikipedia Workshop in EMNLP 2024

Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction

Yew Ken Chia, Hui Chen, Wei Han, Guizhen Chen, Sharifah Mahani Aljunied, Soujanya Poria, Lidong Bing

Comments EMNLP 2024 SiCon

DISCERN: Decoding Systematic Errors in Natural Language for Text Classifiers

Rakesh R. Menon, Shashank Srivastava

Comments 20 pages, 9 figures, 15 tables; Accepted to EMNLP 2024

MARCO: Multi-Agent Real-time Chat Orchestration

Anubhav Shrimal, Stanley Kanagaraj, Kriti Biswas, Swarnalatha Raghuraman, Anish Nediyanchath, Yi Zhang, Promod Yenigalla

Comments EMNLP 2024 Industry Track

SandboxAQ's submission to MRL 2024 Shared Task on Multi-lingual Multi-task Information Retrieval

Isidora Chara Tourni, Sayontan Ghosh, Brenda Miao, Constantijn van der Poel

Comments MRL 2024 Shared Task on Multi-lingual Multi-task Information Retrieval; 4th Multilingual Representation Learning (MRL) Workshop; EMNLP 2024

Adaptive Question Answering: Enhancing Language Model Proficiency for Addressing Knowledge Conflicts with Source Citations

Sagi Shaier, Ari Kobren, Philip Ogren

Comments Accepted to EMNLP 2024

Variational Language Concepts for Interpreting Foundation Language Models

Hengyi Wang, Shiwei Tan, Zhiqing Hong, Desheng Zhang, Hao Wang

Comments Accepted at EMNLP 2024 Findings

Waterfall: Framework for Robust and Scalable Text Watermarking and Provenance for LLMs

Gregory Kang Ruey Lau, Xinyuan Niu, Hieu Dao, Jiangwei Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low

Comments Accepted to EMNLP 2024 Main Conference