EMNLP

Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It's Best to Relate Perspectives!

Philipp Heinisch, Matthias Orlikowski, Julia Romberg, Philipp Cimiano

Comments Accepted at EMNLP 2023 main conference. First two authors contributed equally

HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications

Rishi Kalra, Zekun Wu, Ayesha Gulley, Airlie Hilliard, Xin Guan, Adriano Koshiyama, Philip Treleaven

Comments NAACL 2025 Industry Track & EMNLP 2024 CustomNLP4U Workshop

Fine-grained Conversational Decoding via Isotropic and Proximal Search

Yuxuan Yao, Han Wu, Qiling Xu, Linqi Song

Comments Accepted to EMNLP 2023 Main Conference

BabyLM Turns 3: Call for papers for the 2025 BabyLM workshop

Lucas Charpentier, Leshem Choshen, Ryan Cotterell, Mustafa Omer Gul, Michael Hu, Jaap Jumelet, Tal Linzen, Jing Liu, Aaron Mueller, Candace Ross, Raj Sanjay Shah, Alex Warstadt, Ethan Wilcox, Adina Williams

Comments EMNLP 2025 BabyLM Workshop. arXiv admin note: text overlap with arXiv:2404.06214

Direct Multi-Turn Preference Optimization for Language Agents

Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng

Comments Accepted by EMNLP 2024 Main

Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization

Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Zi Ye, Xinyu Duan, Zhefeng Wang, Kehai Chen, Min Zhang

Comments Published as a conference paper at 2024 EMNLP findings

Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering

Yubo Wang, Xueguang Ma, Wenhu Chen

Comments This version has been accepted and published at EMNLP Findings 2024

Natural Language Decompositions of Implicit Content Enable Better Text Representations

Alexander Hoyle, Rupak Sarkar, Pranav Goel, Philip Resnik

Comments Accepted to EMNLP 2023 (Main conference)

StrAE: Autoencoding for Pre-Trained Embeddings using Explicit Structure

Mattia Opper, Victor Prokhorov, N. Siddharth

Comments EMNLP 2023 Main

Birdie: Advancing State Space Models with Reward-Driven Objectives and Curricula

Sam Blouir, Jimmy T. H. Smith, Antonios Anastasopoulos, Amarda Shehu

Comments Accepted to EMNLP 2024 (Main Conference)

Defending Jailbreak Prompts via In-Context Adversarial Game

Yujun Zhou, Yufei Han, Haomin Zhuang, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang

Comments EMNLP 2024 Main Paper

Less is More: Pre-Training Cross-Lingual Small-Scale Language Models with Cognitively-Plausible Curriculum Learning Strategies

Suchir Salhan, Richard Diehl Martinez, Zébulon Goriely, Paula Buttery

Comments BabyLM Shared Task 2024 (Accepted, Poster), co-located in EMNLP 2024

Tell me what I need to know: Exploring LLM-based (Personalized) Abstractive Multi-Source Meeting Summarization

Frederic Kirstein, Terry Ruas, Robert Kratel, Bela Gipp

Journal ref EMNLP 2024 Industry Track

What's under the hood: Investigating Automatic Metrics on Meeting Summarization

Frederic Kirstein, Jan Philip Wahle, Terry Ruas, Bela Gipp

Journal ref EMNLP 2024

Fine-Grained Prediction of Reading Comprehension from Eye Movements

Omer Shubi, Yoav Meiri, Cfir Avraham Hadar, Yevgeni Berzak

Comments Accepted to EMNLP

Journal ref Proc. 2024 Conf. Empirical Methods in Natural Language Processing (EMNLP), pp. 3372-3391, Miami, FL, USA, Assoc. Comput. Linguist., 2024

Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback

Fatemeh Pesaran Zadeh, Juyeon Kim, Jin-Hwa Kim, Gunhee Kim

Comments EMNLP 2024 Main Oral. Code and dataset are released at https://github.com/fatemehpesaran310/Text2Chart31

Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction

Yuncheng Hua, Yujin Huang, Shuo Huang, Tao Feng, Lizhen Qu, Chris Bain, Richard Bassed, Gholamreza Haffari

Comments 18 pages, 6 figures, 5 tables. The paper has been published in the Findings of the Association for Computational Linguistics: EMNLP 2024

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2024

Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues

Yuncheng Hua, Lizhen Qu, Gholamreza Haffari

Comments 28 pages, 3 figures, 14 tables; The paper has been published in the Findings of the Association for Computational Linguistics: EMNLP 2024

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2024

Paradigm Completion for Derivational Morphology

Ryan Cotterell, Ekaterina Vylomova, Huda Khayrallah, Christo Kirov, David Yarowsky

Comments EMNLP 2017

Teaching LLMs to Abstain across Languages via Multilingual Feedback

Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov

Comments EMNLP 2024

Better RAG using Relevant Information Gain

Marc Pickett, Jeremy Hartman, Ayan Kumar Bhowmick, Raquib-ul Alam, Aditya Vempaty

Comments 4 page paper submitted to EMNLP

Learning Musical Representations for Music Performance Question Answering

Xingjian Diao, Chunhui Zhang, Tingxuan Wu, Ming Cheng, Zhongyu Ouyang, Weiyi Wu, Jiang Gui

Comments Accepted at EMNLP 2024

Does Alignment Tuning Really Break LLMs' Internal Confidence?

Hongseok Oh, Wonseok Hwang

Comments Presented at the BlackboxNLP Workshop at EMNLP 2024 (Poster)

Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning

Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang

Comments EMNLP 2024 Main

A Decoding Algorithm for Length-Control Summarization Based on Directed Acyclic Transformers

Chenyang Huang, Hao Zhou, Cameron Jen, Kangjie Zheng, Osmar R. Zaïane, Lili Mou

Comments Findings of the Association for Computational Linguistics: EMNLP 2024

Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction

Ji Qi, Chuchun Zhang, Xiaozhi Wang, Kaisheng Zeng, Jifan Yu, Jinxin Liu, Jiuding Sun, Yuxiang Chen, Lei Hou, Juanzi Li, Bin Xu

Comments Accepted by EMNLP 2023 Main Conference

A Semantic Search Engine for Mathlib4

Guoxiong Gao, Haocheng Ju, Jiedong Jiang, Zihan Qin, Bin Dong

Comments EMNLP 2024 findings

STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions

Robert Morabito, Sangmitra Madhusudan, Tyler McDonald, Ali Emami

Comments 9 pages (excluding references), accepted to EMNLP 2024 Main Conference

SLANG: New Concept Comprehension of Large Language Models

Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Xueqi Cheng

Comments EMNLP 2024 Main

Memory-Efficient Fine-Tuning of Transformers via Token Selection

Antoine Simoulin, Namyong Park, Xiaoyi Liu, Grey Yang

Comments EMNLP 2024