EMNLP

The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis

Yuxiang Zhou, Jiazheng Li, Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He

Comments Accepted to the main conference of EMNLP 2024. Resources are available at https://github.com/zyxnlp/ICL-Interpretation-Analysis-Resources

LongForm: Effective Instruction Tuning with Reverse Instructions

Abdullatif Köksal, Timo Schick, Anna Korhonen, Hinrich Schütze

Comments EMNLP 2024 Findings. This version extends the training with recent LLMs, evaluation with new metrics, and NLU tasks

Language models and brains align due to more than next-word prediction and word-level information

Gabriele Merlin, Mariya Toneva

Comments Accepted to EMNLP 2024

Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models

Shayekh Bin Islam, Md Asib Rahman, K S M Tozammel Hossain, Enamul Hoque, Shafiq Joty, Md Rizwan Parvez

Comments Accepted to EMNLP 2024 Findings. Website: https://openragmoe.github.io/. 14 pages, 7 figures, 5 tables

FactAlign: Long-form Factuality Alignment of Large Language Models

Chao-Wei Huang, Yun-Nung Chen

Comments Accepted to EMNLP 2024 Findings

Intent Detection in the Age of LLMs

Gaurav Arora, Shreya Jain, Srujana Merugu

Comments Accepted at EMNLP 2024 Industry Track

ACE: A LLM-based Negotiation Coaching System

Ryan Shea, Aymen Kallala, Xin Lucy Liu, Michael W. Morris, Zhou Yu

Comments EMNLP 2024

SecCoder: Towards Generalizable and Robust Secure Code Generation

Boyu Zhang, Tianyu Du, Junkai Tong, Xuhong Zhang, Kingsum Chow, Sheng Cheng, Xun Wang, Jianwei Yin

Comments To Appear in the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP)

PairDistill: Pairwise Relevance Distillation for Dense Retrieval

Chao-Wei Huang, Yun-Nung Chen

Comments Accepted to EMNLP 2024 Main Conference

PCQPR: Proactive Conversational Question Planning with Reflection

Shasha Guo, Lizi Liao, Jing Zhang, Cuiping Li, Hong Chen

Comments Accepted by EMNLP 2024 Main

Journal ref Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Model-based Preference Optimization in Abstractive Summarization without Human Feedback

Jaepill Choi, Kyubyung Chae, Jiwoo Song, Yohan Jo, Taesup Kim

Comments Accepted by EMNLP 2024

Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation

Yueqi Wang, Zhenrui Yue, Huimin Zeng, Dong Wang, Julian McAuley

Comments Accepted to EMNLP 2024 Findings

CUTE: Measuring LLMs' Understanding of Their Tokens

Lukas Edman, Helmut Schmid, Alexander Fraser

Comments Accepted to EMNLP 2024 main conference

An LLM Feature-based Framework for Dialogue Constructiveness Assessment

Lexin Zhou, Youmna Farag, Andreas Vlachos

Comments Paper accepted by EMNLP 2024

Dual-Phase Accelerated Prompt Optimization

Muchen Yang, Moxin Li, Yongle Li, Zijun Chen, Chongming Gao, Junqi Zhang, Yangyang Li, Fuli Feng

Comments EMNLP 2024 Findings

Concept-skill Transferability-based Data Selection for Large Vision-Language Models

Jaewoo Lee, Boyang Li, Sung Ju Hwang

Comments EMNLP 2024

SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading

Tu Anh Dinh, Carlos Mullov, Leonard Bärmann, Zhaolin Li, Danni Liu, Simon Reiß, Jueun Lee, Nathan Lerzer, Fabian Ternava, Jianfeng Gao, Tobias Röddiger, Alexander Waibel, Tamim Asfour, Michael Beigl, Rainer Stiefelhagen, Carsten Dachsbacher, Klemens Böhm, Jan Niehues

Comments Accepted to EMNLP 2024 Main Conference

FIZZ: Factual Inconsistency Detection by Zoom-in Summary and Zoom-out Document

Joonho Yang, Seunghyun Yoon, Byeongjeong Kim, Hwanhee Lee

Comments Published as a main conference paper at EMNLP 2024

What's Mine becomes Yours: Defining, Annotating and Detecting Context-Dependent Paraphrases in News Interview Dialogs

Anna Wegmann, Tijs van den Broek, Dong Nguyen

Comments Accepted as main conference paper to EMNLP 2024

SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models

Hyeonwoo Kim, Gyoungjin Gim, Yungi Kim, Jihoo Kim, Byungju Kim, Wonseok Lee, Chanjun Park

Comments Accepted to EMNLP 2024 Industry Track

Exploring Multilingual Concepts of Human Value in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages?

Shaoyang Xu, Weilong Dong, Zishan Guo, Xinwei Wu, Deyi Xiong

Comments EMNLP 2024 findings, code&dataset: https://github.com/shaoyangxu/Multilingual-Human-Value-Concepts

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models

Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren

Comments EMNLP 2024 main paper

What is "Typological Diversity" in NLP?

Esther Ploeger, Wessel Poelman, Miryam de Lhoneux, Johannes Bjerva

Comments EMNLP 2024: Main Conference

Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation Extraction

Frank Mtumbuka, Steven Schockaert

Comments Accepted in the Findings of EMNLP 2024

Do Differences in Values Influence Disagreements in Online Discussions?

Michiel van der Meer, Piek Vossen, Catholijn M. Jonker, Pradeep K. Murukannaiah

Comments Accepted as main paper at EMNLP 2023

AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses

Xiaotian Lu, Jiyi Li, Koh Takeuchi, Hisashi Kashima

Comments Accepted for EMNLP 2024 Findings

Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs

Chengyuan Liu, Shihang Wang, Lizhi Qing, Kun Kuang, Yangyang Kang, Changlong Sun, Fei Wu

Comments Accepted by EMNLP 2024

Unifying the Scope of Bridging Anaphora Types in English: Bridging Annotations in ARRAU and GUM

Lauren Levine, Amir Zeldes

Comments The Seventh Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC 2024), EMNLP 2024 Workshop, 15 November 2024

Concept Space Alignment in Multilingual LLMs

Qiwei Peng, Anders Søgaard

Comments EMNLP 2024

MOSEL: 950,000 Hours of Speech Data for Open-Source Speech Foundation Model Training on EU Languages

Marco Gaido, Sara Papi, Luisa Bentivogli, Alessio Brutti, Mauro Cettolo, Roberto Gretter, Marco Matassoni, Mohamed Nabih, Matteo Negri

Comments Accepted at EMNLP 2024 Main Conference