EMNLP

ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactions

Chan Young Park, Shuyue Stella Li, Hayoung Jung, Svitlana Volkova, Tanushree Mitra, David Jurgens, Yulia Tsvetkov

Comments First three authors contributed equally. Accepted at EMNLP Findings 2024

HEAR: Hearing Enhanced Audio Response for Video-grounded Dialogue

Sunjae Yoon, Dahyun Kim, Eunseop Yoon, Hee Suk Yoon, Junyeong Kim, Chnag D. Yoo

Comments EMNLP 2023, 14 pages, 13 figures

LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning

Silin Meng, Yiwei Wang, Cheng-Fu Yang, Nanyun Peng, Kai-Wei Chang

Comments Findings of the Association for Computational Linguistics: EMNLP 2024

Understanding and Mitigating Language Confusion in LLMs

Kelly Marchisio, Wei-Yin Ko, Alexandre Bérard, Théo Dehaze, Sebastian Ruder

Comments EMNLP 2024 Main Conference Camera-ready. v3: hi, ru not run for monolingual Okapi

NormTab: Improving Symbolic Reasoning in LLMs Through Tabular Data Normalization

Md Mahadi Hasan Nahid, Davood Rafiei

Comments EMNLP 2024 (Findings)

APPLS: Evaluating Evaluation Metrics for Plain Language Summarization

Yue Guo, Tal August, Gondy Leroy, Trevor Cohen, Lucy Lu Wang

Comments This paper has been accepted by 2024 EMNLP main. Please cite the EMNLP version

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

STORYSUMM: Evaluating Faithfulness in Story Summarization

Melanie Subbiah, Faisal Ladhak, Akankshya Mishra, Griffin Adams, Lydia B. Chilton, Kathleen McKeown

Comments EMNLP Main 2024

Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences

Xiangyang Liu, Junliang He, Xipeng Qiu

Comments Accepted by EMNLP 2024

ProTrix: Building Models for Planning and Reasoning over Tables with Sentence Context

Zirui Wu, Yansong Feng

Comments EMNLP 2024 Findings

CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models

Yuetai Li, Zhangchen Xu, Fengqing Jiang, Luyao Niu, Dinuka Sahabandu, Bhaskar Ramasubramanian, Radha Poovendran

Comments This paper is presented at EMNLP 2024

Comparing Styles across Languages: A Cross-Cultural Exploration of Politeness

Shreya Havaldar, Matthew Pressimone, Eric Wong, Lyle Ungar

Comments Accepted to EMNLP 2023

FairFlow: Mitigating Dataset Biases through Undecided Learning

Jiali Cheng, Hadi Amiri

Comments EMNLP 2024

Journal ref EMNLP 2024

Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning

John Wu, David Wu, Jimeng Sun

Comments https://aclanthology.org/2024.emnlp-main.500/

Algorithms for Weighted Pushdown Automata

Alexandra Butoi, Brian DuSell, Tim Vieira, Ryan Cotterell, David Chiang

Comments 12 pages, 7 figures. Accepted at EMNLP 2022

CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs

Suhas S Kowshik, Abhishek Divekar, Vijit Malik

Comments Published as a main conference paper at EMNLP 2024; First two authors contributed equally

Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach

Adam Wojciechowski, Mateusz Lango, Ondrej Dusek

Comments Findings of EMNLP 2024

Towards Aligning Language Models with Textual Feedback

Saüc Abadal Lloret, Shehzaad Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan

Comments Accepted to EMNLP 2024

PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models

Huixuan Zhang, Yun Lin, Xiaojun Wan

Comments Accepted by EMNLP 2024 Findings

SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning

Tsu-Jui Fu, Xin Eric Wang, Scott Grafton, Miguel Eckstein, William Yang Wang

Comments EMNLP'20 (Oral)

Robust AI-Generated Text Detection by Restricted Embeddings

Kristian Kuznetsov, Eduard Tulchinskii, Laida Kushnareva, German Magai, Serguei Barannikov, Sergey Nikolenko, Irina Piontkovskaya

Comments Accepted to Findings of EMNLP 2024

Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning

Qizhou Chen, Taolin Zhang, Xiaofeng He, Dongyang Li, Chengyu Wang, Longtao Huang, Hui Xue

Comments EMNLP 2024 main

The Effect of Sampling Temperature on Problem Solving in Large Language Models

Matthew Renze, Erhan Guven

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2024, pp. 7346-7356

Stick to Facts: Towards Fidelity-oriented Product Description Generation

Zhangming Chan, Xiuying Chen, Yongliang Wang, Juntao Li, Zhiqiang Zhang, Kun Gai, Dongyan Zhao, Rui Yan

Comments Accepted by EMNLP 2019

API-Assisted Code Generation for Question Answering on Varied Table Structures

Yihan Cao, Shuyi Chen, Ryan Liu, Zhiruo Wang, Daniel Fried

Comments EMNLP 2023 camera ready, 13 pages, 11 figures

Journal ref Proceedings of the Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2023, pages 14536-14548, Singapore

AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments

Till Raphael Saenger, Musashi Hinck, Justin Grimmer, Brandon M. Stewart

Comments Published in Proceedings of EMNLP 2024. The official version is available in the ACL Anthology at https://aclanthology.org/2024.emnlp-main.913/

SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages

Holy Lovenia, Rahmad Mahendra, Salsabil Maulana Akbar, Lester James V. Miranda, Jennifer Santoso, Elyanah Aco, Akhdan Fadhilah, Jonibek Mansurov, Joseph Marvin Imperial, Onno P. Kampman, Joel Ruben Antony Moniz, Muhammad Ravi Shulthan Habibi, Frederikus Hudi, Railey Montalan, Ryan Ignatius, Joanito Agili Lopo, William Nixon, Börje F. Karlsson, James Jaya, Ryandito Diandaru, Yuze Gao, Patrick Amadeus, Bin Wang, Jan Christian Blaise Cruz, Chenxi Whitehouse, Ivan Halim Parmonangan, Maria Khelli, Wenyu Zhang, Lucky Susanto, Reynard Adha Ryanda, Sonny Lazuardi Hermawan, Dan John Velasco, Muhammad Dehan Al Kautsar, Willy Fitra Hendria, Yasmin Moslem, Noah Flynn, Muhammad Farid Adilazuarda, Haochen Li, Johanes Lee, R. Damanhuri, Shuo Sun, Muhammad Reza Qorib, Amirbek Djanibekov, Wei Qi Leong, Quyet V. Do, Niklas Muennighoff, Tanrada Pansuwan, Ilham Firdausi Putra, Yan Xu, Ngee Chia Tai, Ayu Purwarianti, Sebastian Ruder, William Tjhi, Peerat Limkonchotiwat, Alham Fikri Aji, Sedrick Keh, Genta Indra Winata, Ruochen Zhang, Fajri Koto, Zheng-Xin Yong, Samuel Cahyawijaya

Comments https://seacrowd.github.io/ Published in EMNLP 2024

Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language Models

Sepehr Kamahi, Yadollah Yaghoobzadeh

Comments Accepted to BlackboxNLP @ EMNLP 2024

The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine Translation

Jie He, Tao Wang, Deyi Xiong, Qun Liu

Comments EMNLP findings 2020

Reap the Wild Wind: Detecting Media Storms in Large-Scale News Corpora

Dror K. Markus, Effi Levi, Tamir Sheafer, Shaul R. Shenhav

Comments This paper was accepted and published in Findings of EMNLP 2024. The final version is available at: https://aclanthology.org/2024.findings-emnlp.275/

Mixture-of-Subspaces in Low-Rank Adaptation

Taiqiang Wu, Jiahao Wang, Zhe Zhao, Ngai Wong

Comments EMNLP 2024 Main, Oral