ACL

BiMediX: Bilingual Medical Mixture of Experts LLM

Sara Pieri, Sahal Shaji Mullappilly, Fahad Shahbaz Khan, Rao Muhammad Anwer, Salman Khan, Timothy Baldwin, Hisham Cholakkal

Comments Accepted to EMNLP 2024 (Findings)

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2024, pages 16984-17002

Incorporating Distributions of Discourse Structure for Long Document Abstractive Summarization

Dongqi Liu, Yifan Wang, Vera Demberg

Comments ACL 2023 (Main conference)

TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback

Eunseop Yoon, Hee Suk Yoon, SooHwan Eom, Gunsoo Han, Daniel Wontae Nam, Daejin Jo, Kyoung-Woon On, Mark A. Hasegawa-Johnson, Sungwoong Kim, Chang D. Yoo

Comments ACL2024 Findings

ToMBench: Benchmarking Theory of Mind in Large Language Models

Zhuang Chen, Jincenzi Wu, Jinfeng Zhou, Bosi Wen, Guanqun Bi, Gongyao Jiang, Yaru Cao, Mengting Hu, Yunghwei Lai, Zexuan Xiong, Minlie Huang

Comments ACL 2024

Investigating the Impact of Data Contamination of Large Language Models in Text-to-SQL Translation

Federico Ranaldi, Elena Sofia Ruzzetti, Dario Onorati, Leonardo Ranaldi, Cristina Giannone, Andrea Favalli, Raniero Romagnoli, Fabio Massimo Zanzotto

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

Dodo: Dynamic Contextual Compression for Decoder-only LMs

Guanghui Qin, Corby Rosset, Ethan C. Chau, Nikhil Rao, Benjamin Van Durme

Comments ACL 2024 camera-ready. 15 pages and 7 figures

Journal ref ACL 2024

Enriching the NArabizi Treebank: A Multifaceted Approach to Supporting an Under-Resourced Language

Arij Riabi, Menel Mahamdi, Djamé Seddah

Comments Accepted to the 17th Linguistic Annotation Workshop (LAW-XVII), co-located with ACL 2023

Pay Attention to the Robustness of Chinese Minority Language Models! Syllable-level Textual Adversarial Attack on Tibetan Script

Xi Cao, Dolma Dawa, Nuo Qun, Trashi Nyima

Comments Revised Version; Accepted at ACL 2023 Workshop on TrustNLP

Journal ref Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing (TrustNLP 2023)

WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions

Seyedali Mohammadi, Edward Raff, Jinendra Malekar, Vedant Palit, Francis Ferraro, Manas Gaur

Comments Accepted in BlackboxNLP @ EMNLP 2024

Journal ref Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, pages 364-388, November 2024, Miami, Florida, US. Association for Computational Linguistics

When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs

Ryo Kamoi, Yusen Zhang, Nan Zhang, Jiawei Han, Rui Zhang

Comments TACL 2024

Journal ref Transactions of the Association for Computational Linguistics (2024) 12: 1417-1440

Discovering influential text using convolutional neural networks

Megan Ayers, Luke Sanford, Margaret Roberts, Eddie Yang

Comments Published in Findings of ACL 2024 ( see https://aclanthology.org/2024.findings-acl.714 )

Methods of Automatic Matrix Language Determination for Code-Switched Speech

Olga Iakovenko, Thomas Hain

Comments EMNLP 2024

Journal ref In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 5791-5800, Miami, Florida, USA. Association for Computational Linguistics

Detecting Temporal Ambiguity in Questions

Bhawna Piryani, Abdelrahman Abdallah, Jamshid Mozafari, Adam Jatowt

Comments Accepted at EMNLP 2024 Findings

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

CogErgLLM: Exploring Large Language Model Systems Design Perspective Using Cognitive Ergonomics

Azmine Toushik Wasi, Mst Rafia Islam

Comments 10 Page, 3 Figures. Accepted in: (i) ICML'24: LLMs & Cognition Workshop (Non-archival; OpenReview: https://openreview.net/forum?id=63C9YSc77p) (ii) EMNLP'24 : NLP for Science Workshop (Archival; ACL Anthology: https://aclanthology.org/2024.nlp4science-1.22/)

Journal ref Proceedings of the 1st Workshop on NLP for Science (NLP4Science), EMNLP 2024

Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation

Branislav Pecher, Jan Cegin, Robert Belanec, Jakub Simko, Ivan Srba, Maria Bielikova

Comments Accepted to the Findings of the EMNLP'24 Conference

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

Explicitly Representing Syntax Improves Sentence-to-layout Prediction of Unexpected Situations

Wolf Nuyts, Ruben Cartuyvels, Marie-Francine Moens

Comments Published in TACL

Journal ref Transactions of the Association for Computational Linguistics 12 (2024): 264-282

Authorship Obfuscation in Multilingual Machine-Generated Text Detection

Dominik Macko, Robert Moro, Adaku Uchendu, Ivan Srba, Jason Samuel Lucas, Michiharu Yamashita, Nafis Irtiza Tripto, Dongwon Lee, Jakub Simko, Maria Bielikova

Comments Accepted to EMNLP 2024 Findings

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

Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation

Jan Cegin, Branislav Pecher, Jakub Simko, Ivan Srba, Maria Bielikova, Peter Brusilovsky

Comments ACL'24 version, 24 pages

Journal ref Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2024

Explainable Identification of Hate Speech towards Islam using Graph Neural Networks

Azmine Toushik Wasi

Comments Accepted in: (i) NeurIPS 2023 : Muslims in ML Workshop (Non-archival) (https://www.musiml.org/schedule/#:~:text=Azmine%20Toushik%20Wasi) (ii) EMNLP 2024 : NLP for Positive Impact Workshop (Archival; ACL Anthology: https://aclanthology.org/2024.nlp4pi-1.23/)

Journal ref Proceedings of the Third Workshop on NLP for Positive Impact, EMNLP 2024

Exploring Hint Generation Approaches in Open-Domain Question Answering

Jamshid Mozafari, Abdelrahman Abdallah, Bhawna Piryani, Adam Jatowt

Comments Accepted at EMNLP 2024

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

Speech Translation with Speech Foundation Models and Large Language Models: What is There and What is Missing?

Marco Gaido, Sara Papi, Matteo Negri, Luisa Bentivogli

Comments Outstanding paper at the ACL 2024 main conference

Factual Confidence of LLMs: on Reliability and Robustness of Current Estimators

Matéo Mahaut, Laura Aina, Paula Czarnowska, Momchil Hardalov, Thomas Müller, Lluís Màrquez

Comments accepted on the main track of ACL 2024

NALA: an Effective and Interpretable Entity Alignment Method

Chuanhao Xu, Jingwei Cheng, Fu Zhang

Comments 21 pages. EMNLP 2024 Findings (Accepted)

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2024 (pp. 13752-13772)

CoTAR: Chain-of-Thought Attribution Reasoning with Multi-level Granularity

Moshe Berchansky, Daniel Fleischer, Moshe Wasserblat, Peter Izsak

Comments Findings of the Association for Computational Linguistics: EMNLP 2024

HQP: A Human-Annotated Dataset for Detecting Online Propaganda

Abdurahman Maarouf, Dominik Bär, Dominique Geissler, Stefan Feuerriegel

Comments Accepted at ACL Findings 24

Journal ref Findings of the Association for Computational Linguistics: ACL 2024, pages 6064-6089

IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning

Abhinav Joshi, Shounak Paul, Akshat Sharma, Pawan Goyal, Saptarshi Ghosh, Ashutosh Modi

Comments Accepted at ACL 2024 Main Conference; 40 Pages (9 Pages + References + Appendix)

Recent Trends in Linear Text Segmentation: a Survey

Iacopo Ghinassi, Lin Wang, Chris Newell, Matthew Purver

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

MrRank: Improving Question Answering Retrieval System through Multi-Result Ranking Model

Danupat Khamnuansin, Tawunrat Chalothorn, Ekapol Chuangsuwanich

Comments To be published in Findings of ACL 2024

Semantically-Prompted Language Models Improve Visual Descriptions

Michael Ogezi, Bradley Hauer, Grzegorz Kondrak

Comments Published at NAACL 2024. See https://aclanthology.org/2024.findings-naacl.267/

Journal ref In Findings of the Association for Computational Linguistics: NAACL 2024, pages 4285-4302

REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering

Yuhao Wang, Ruiyang Ren, Junyi Li, Wayne Xin Zhao, Jing Liu, Ji-Rong Wen

Comments Accepted to EMNLP 2024 Main Conference. Published on ACL Anthology: https://aclanthology.org/2024.emnlp-main.321.pdf