ACL

Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation

Chenyang Huang, Fei Huang, Zaixiang Zheng, Osmar R. Zaïane, Hao Zhou, Lili Mou

Comments In Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023

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

Yeah, Un, Oh: Continuous and Real-time Backchannel Prediction with Fine-tuning of Voice Activity Projection

Koji Inoue, Divesh Lala, Gabriel Skantze, Tatsuya Kawahara

Comments This paper has been accepted for presentation at the main conference of 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025) and represents the author's version of the work

LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models

Zhenyue Qin, Yu Yin, Dylan Campbell, Xuansheng Wu, Ke Zou, Yih-Chung Tham, Ninghao Liu, Xiuzhen Zhang, Qingyu Chen

Comments 2025 NAACL: Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics Project Page: https://kfzyqin.github.io/lmod/

Decoding Speculative Decoding

Minghao Yan, Saurabh Agarwal, Shivaram Venkataraman

Comments Proceedings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2025)

Accelerating Transformer Inference for Translation via Parallel Decoding

Andrea Santilli, Silvio Severino, Emilian Postolache, Valentino Maiorca, Michele Mancusi, Riccardo Marin, Emanuele Rodolà

Comments Accepted at ACL 2023 main conference

Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge

Daniel Tamayo, Aitor Gonzalez-Agirre, Javier Hernando, Marta Villegas

Journal ref Findings of the Association for Computational Linguistics: ACL 2024. Pages: 5831-5847

PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment

Zequan Liu, Yi Zhao, Ming Tan, Wei Zhu, Aaron Xuxiang Tian

Comments accepted by ACL-2024

DEUCE: Dual-diversity Enhancement and Uncertainty-awareness for Cold-start Active Learning

Jiaxin Guo, C. L. Philip Chen, Shuzhen Li, Tong Zhang

Comments 18 pages, 3 figures, 12 tables. Accepted manuscript by TACL. For published version by MIT Press, see https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00731/125950

Journal ref Transactions of the Association for Computational Linguistics, Vol. 12 (2024), pp. 1736-1754

LOLA -- An Open-Source Massively Multilingual Large Language Model

Nikit Srivastava, Denis Kuchelev, Tatiana Moteu Ngoli, Kshitij Shetty, Michael Röder, Hamada Zahera, Diego Moussallem, Axel-Cyrille Ngonga Ngomo

Journal ref Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025), "LOLA - An Open-Source Massively Multilingual Large Language Model", ACL Anthology, https://aclanthology.org/2025.coling-main.428/

Can Model Uncertainty Function as a Proxy for Multiple-Choice Question Item Difficulty?

Leonidas Zotos, Hedderik van Rijn, Malvina Nissim

Comments 13 pages, 7 figures, Published in The 31st International Conference on Computational Linguistics, available in the ACL Anthology: https://aclanthology.org/2025.coling-main.749/

Journal ref Proceedings of the 31st International Conference on Computational Linguistics, 11304-11316, Association for Computational Linguistics, 2025

CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification

Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren

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

GroUSE: A Benchmark to Evaluate Evaluators in Grounded Question Answering

Sacha Muller, António Loison, Bilel Omrani, Gautier Viaud

Comments Proceedings of the 31st International Conference on Computational Linguistics

Journal ref Proceedings of the 31st International Conference on Computational Linguistics (2025), pages 4510 to 4534, Abu Dhabi, UAE. Association for Computational Linguistics

A linguistically-motivated evaluation methodology for unraveling model's abilities in reading comprehension tasks

Elie Antoine, Frédéric Béchet, Géraldine Damnati, Philippe Langlais

Journal ref Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Nov 2024, Miami, United States. pp.18376-18392

NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notes

Junda Wang, Zonghai Yao, Zhichao Yang, Huixue Zhou, Rumeng Li, Xun Wang, Yucheng Xu, Hong Yu

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

Algorithm for Automatic Legislative Text Consolidation

Matias Etcheverry, Thibaud Real, Pauline Chavallard

Journal ref In Proceedings of the Natural Legal Language Processing Workshop 2024, pages 166 to 175. Association for Computational Linguistics

HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy

Mengxi Xiao, Qianqian Xie, Ziyan Kuang, Zhicheng Liu, Kailai Yang, Min Peng, Weiguang Han, Jimin Huang

Comments 19 pages, 4 figures

Journal ref 2024 ACL main

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models

Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, Wei Jin, Joyce Ho, Carl Yang

Comments ACL 2024 (Findings)

Journal ref ACL 2024

Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Satyapriya Krishna, Kalpesh Krishna, Anhad Mohananey, Steven Schwarcz, Adam Stambler, Shyam Upadhyay, Manaal Faruqui

Comments Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL), 2025

On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning

Franz Nowak, Anej Svete, Alexandra Butoi, Ryan Cotterell

Comments Published at ACL 2024

KIF: Knowledge Identification and Fusion for Language Model Continual Learning

Yujie Feng, Xu Chu, Yongxin Xu, Zexin Lu, Bo Liu, Philip S. Yu, Xiao-Ming Wu

Comments This version updates the model name from Task Skill Localization and Consolidation (TaSL) to Knowledge Identification and Fusion (KIF). It is an extension of the ACL 2024 paper titled Continual Dialog State Tracking via Task Skill Localization and Consolidation

Automatic Annotation of Direct Speech in Written French Narratives

Noé Durandard, Viet-Anh Tran, Gaspard Michel, Elena V. Epure

Comments 9 pages, ACL 2023

Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models

Anmol Mekala, Vineeth Dorna, Shreya Dubey, Abhishek Lalwani, David Koleczek, Mukund Rungta, Sadid Hasan, Elita Lobo

Journal ref Proceedings of the 31st International Conference on Computational Linguistics, volume 1, 2025, pages 3732-3752, Abu Dhabi, UAE. Association for Computational Linguistics

Detection of Conspiracy Theories Beyond Keyword Bias in German-Language Telegram Using Large Language Models

Milena Pustet, Elisabeth Steffen, Helena Mihaljević

Comments Accepted to the 8th Workshop on Online Abuse and Harms (WOAH), ACL 2024

Journal ref in: 8th Workshop on Online Abuse and Harms (WOAH), ACL (2024)

JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models

Ze Wang, Zekun Wu, Xin Guan, Michael Thaler, Adriano Koshiyama, Skylar Lu, Sachin Beepath, Ediz Ertekin, Maria Perez-Ortiz

Comments EMNLP 2024 Findings Paper

Journal ref Findings of the Association for Computational Linguistics EMNLP 2024, 3227-3246 (2024)

Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries

Yu-Hsiang Huang, Yuche Tsai, Hsiang Hsiao, Hong-Yi Lin, Shou-De Lin

Comments Accepted at ACL 2024 Main Conference

LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models

Xiaohao Yang, He Zhao, Dinh Phung, Wray Buntine, Lan Du

Comments Forthcoming in Transactions of the Association for Computational Linguistics (TACL) published by MIT Press

The Shape of Word Embeddings: Quantifying Non-Isometry With Topological Data Analysis

Ondřej Draganov, Steven Skiena

Comments Submitted to EMNLP Findings 2024. The code used is shared on GitHub: https://github.com/OnDraganov/shape-of-word-embeddings. URL of the publication: "https://aclanthology.org/2024.findings-emnlp.705"

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2024, pages 12080--12099. ACL

What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages

Nadav Borenstein, Anej Svete, Robin Chan, Josef Valvoda, Franz Nowak, Isabelle Augenstein, Eleanor Chodroff, Ryan Cotterell

Comments Accepted to ACL 2024

Is Table Retrieval a Solved Problem? Exploring Join-Aware Multi-Table Retrieval

Peter Baile Chen, Yi Zhang, Dan Roth

Comments ACL 2024. Dataset and code are available at https://peterbaile.github.io/jar