EMNLP

Demystifying Prompts in Language Models via Perplexity Estimation

Hila Gonen, Srini Iyer, Terra Blevins, Noah A. Smith, Luke Zettlemoyer

Comments Published in Findings of EMNLP 2023

Exploring Linguistic Properties of Monolingual BERTs with Typological Classification among Languages

Elena Sofia Ruzzetti, Federico Ranaldi, Felicia Logozzo, Michele Mastromattei, Leonardo Ranaldi, Fabio Massimo Zanzotto

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2023, Association for Computational Linguistics, 2023, pages 14447 - 14461

MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions

Zexuan Zhong, Zhengxuan Wu, Christopher D. Manning, Christopher Potts, Danqi Chen

Comments EMNLP 2023. Our code and datasets are available at https://github.com/princeton-nlp/MQuAKE

Cultural Compass: Predicting Transfer Learning Success in Offensive Language Detection with Cultural Features

Li Zhou, Antonia Karamolegkou, Wenyu Chen, Daniel Hershcovich

Comments Findings of EMNLP 2023 (update)

HoneyComb: A Flexible LLM-Based Agent System for Materials Science

Huan Zhang, Yu Song, Ziyu Hou, Santiago Miret, Bang Liu

Comments Under Review on EMNLP 2024

Conversation Disentanglement with Bi-Level Contrastive Learning

Chengyu Huang, Zheng Zhang, Hao Fei, Lizi Liao

Comments Accepted by EMNLP 2022 Findings

Emergent inabilities? Inverse scaling over the course of pretraining

James A. Michaelov, Benjamin K. Bergen

Comments Accepted to Findings of EMNLP 2023

DIVE: Towards Descriptive and Diverse Visual Commonsense Generation

Jun-Hyung Park, Hyuntae Park, Youjin Kang, Eojin Jeon, SangKeun Lee

Comments 19 pages, 10 figuers, EMNLP 2023 (main)

Enhanced Detection of Conversational Mental Manipulation Through Advanced Prompting Techniques

Ivory Yang, Xiaobo Guo, Sean Xie, Soroush Vosoughi

Comments Accepted at WiNLP @ EMNLP 2024

Multimodal Contrastive Learning via Uni-Modal Coding and Cross-Modal Prediction for Multimodal Sentiment Analysis

Ronghao Lin, Haifeng Hu

Comments Findings of EMNLP 2022

ExpNote: Black-box Large Language Models are Better Task Solvers with Experience Notebook

Wangtao Sun, Xuanqing Yu, Shizhu He, Jun Zhao, Kang Liu

Comments EMNLP 2023 findings

PK-ICR: Persona-Knowledge Interactive Context Retrieval for Grounded Dialogue

Minsik Oh, Joosung Lee, Jiwei Li, Guoyin Wang

Comments Accepted to EMNLP 2023 main conference (Oral). Code available at https://github.com/minsik-ai/PK-ICR

EMO-KNOW: A Large Scale Dataset on Emotion and Emotion-cause

Mia Huong Nguyen, Yasith Samaradivakara, Prasanth Sasikumar, Chitralekha Gupta, Suranga Nanayakkara

Comments Accepted to Findings of EMNLP 2023

Journal ref Findings of EMNLP 2023

MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction

Jun-Hyung Park, Yeachan Kim, Mingyu Lee, Hyuntae Park, SangKeun Lee

Comments 12 pages, 5 figures, submitted to EMNLP 2024 main track

'Person' == Light-skinned, Western Man, and Sexualization of Women of Color: Stereotypes in Stable Diffusion

Sourojit Ghosh, Aylin Caliskan

Comments Upcoming publication, Findings of EMNLP 2023

Answering Questions by Meta-Reasoning over Multiple Chains of Thought

Ori Yoran, Tomer Wolfson, Ben Bogin, Uri Katz, Daniel Deutch, Jonathan Berant

Comments Accepted for publication in The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023). Author's final version

Instructive Dialogue Summarization with Query Aggregations

Bin Wang, Zhengyuan Liu, Nancy F. Chen

Comments EMNLP 2023 Main Conference - Summarization (update for acknowledgement)

Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements

Yushan Qian, Wei-Nan Zhang, Ting Liu

Comments Findings of EMNLP 2023

Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization

Janghwan Lee, Minsoo Kim, Seungcheol Baek, Seok Joong Hwang, Wonyong Sung, Jungwook Choi

Comments EMNLP 2023 Main Conference. Corrected an error in the first author name

Zero-shot Cross-Lingual Transfer for Synthetic Data Generation in Grammatical Error Detection

Gaetan Lopez Latouche, Marc-André Carbonneau, Ben Swanson

Comments Submitted to EMNLP 2024

Paraphrase Types for Generation and Detection

Jan Philip Wahle, Bela Gipp, Terry Ruas

Comments Published at EMNLP 2023

Journal ref EMNLP 2023

We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic Fields

Jan Philip Wahle, Terry Ruas, Mohamed Abdalla, Bela Gipp, Saif M. Mohammad

Comments Published at EMNLP 2023

Journal ref EMNLP 2023

DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages

Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, Barbara McGillivray

Comments Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, and Barbara McGillivray. 2021. DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 7079--7091, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics

MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization

Yuyan Chen, Zhihao Wen, Ge Fan, Zhengyu Chen, Wei Wu, Dayiheng Liu, Zhixu Li, Bang Liu, Yanghua Xiao

Comments Accepted to EMNLP 2023 (Findings)

GlotLID: Language Identification for Low-Resource Languages

Amir Hossein Kargaran, Ayyoob Imani, François Yvon, Hinrich Schütze

Comments EMNLP 2023

A Comparative Study of Quality Evaluation Methods for Text Summarization

Huyen Nguyen, Haihua Chen, Lavanya Pobbathi, Junhua Ding

Comments The paper is under review at Empirical Methods in Natural Language Processing (EMNLP) 2024. It has 15 pages and 4 figures

How well ChatGPT understand Malaysian English? An Evaluation on Named Entity Recognition and Relation Extraction

Mohan Raj Chanthran, Lay-Ki Soon, Huey Fang Ong, Bhawani Selvaretnam

Comments Accepted in Generation, Evaluation & Metrics (GEM) Workshop at EMNLP 2023

Learning Retrieval Augmentation for Personalized Dialogue Generation

Qiushi Huang, Shuai Fu, Xubo Liu, Wenwu Wang, Tom Ko, Yu Zhang, Lilian Tang

Comments Accepted to EMNLP-2023

Theory of Mind for Multi-Agent Collaboration via Large Language Models

Huao Li, Yu Quan Chong, Simon Stepputtis, Joseph Campbell, Dana Hughes, Michael Lewis, Katia Sycara

Comments Accepted to EMNLP 2023 (Main Conference). Code available at https://github.com/romanlee6/multi_LLM_comm

Journal ref in Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Page 180-192, ACL

CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference

Erxin Yu, Jing Li, Ming Liao, Siqi Wang, Zuchen Gao, Fei Mi, Lanqing Hong

Comments Submitted to EMNLP 2024