ACL

The Ecological Fallacy in Annotation: Modelling Human Label Variation goes beyond Sociodemographics

Matthias Orlikowski, Paul Röttger, Philipp Cimiano, Dirk Hovy

Comments ACL2023 Camera-Ready

Breaking Down Power Barriers in On-Device Streaming ASR: Insights and Solutions

Yang Li, Yuan Shangguan, Yuhao Wang, Liangzhen Lai, Ernie Chang, Changsheng Zhao, Yangyang Shi, Vikas Chandra

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

World Models for Math Story Problems

Andreas Opedal, Niklas Stoehr, Abulhair Saparov, Mrinmaya Sachan

Comments ACL Findings 2023

Can Visual Dialogue Models Do Scorekeeping? Exploring How Dialogue Representations Incrementally Encode Shared Knowledge

Brielen Madureira, David Schlangen

Comments Accepted at ACL 2022, short paper (v2 fixes labels in Figure 3)

From Dogwhistles to Bullhorns: Unveiling Coded Rhetoric with Language Models

Julia Mendelsohn, Ronan Le Bras, Yejin Choi, Maarten Sap

Comments ACL 2023, see https://dogwhistles.allen.ai/ for the glossary and other materials

Journal ref Association for Computational Linguistics, 2023

Automatic Bug Detection in LLM-Powered Text-Based Games Using LLMs

Claire Jin, Sudha Rao, Xiangyu Peng, Portia Botchway, Jessica Quaye, Chris Brockett, Bill Dolan

Comments Accepted for publication in Findings of the Association for Computational Linguistics: ACL 2024

Balancing Speciality and Versatility: A Coarse to Fine Framework for Mitigating Catastrophic Forgetting in Large Language Models

Hengyuan Zhang, Yanru Wu, Dawei Li, Sak Yang, Rui Zhao, Yong Jiang, Fei Tan

Comments 43 pages, 10 figures, accepted by ACL 2024

Entropy-UID: A Method for Optimizing Information Density

Xinpeng Shou

Comments 5pages, 1 figures, submitting to ACL 2025

BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment

Sizhe Wang, Yongqi Tong, Hengyuan Zhang, Dawei Li, Xin Zhang, Tianlong Chen

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

Deterministic Reversible Data Augmentation for Neural Machine Translation

Jiashu Yao, Heyan Huang, Zeming Liu, Yuhang Guo

Comments Findings of ACL 2024

Pretrained Image-Text Models are Secretly Video Captioners

Chunhui Zhang, Yiren Jian, Zhongyu Ouyang, Soroush Vosoughi

Comments Accepted to the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025). The first two authors contributed equally and were listed in random order

Adapting Psycholinguistic Research for LLMs: Gender-inclusive Language in a Coreference Context

Marion Bartl, Thomas Brendan Murphy, Susan Leavy

Comments 9 pages, 7 figures, submitted to ACL 2025 (ARR February 2025 cycle)

Language Complexity Measurement as a Noisy Zero-Shot Proxy for Evaluating LLM Performance

Birger Moell, Johan Boye

Comments Submitted to ACL 2025

Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction

Yuncheng Hua, Yujin Huang, Shuo Huang, Tao Feng, Lizhen Qu, Chris Bain, Richard Bassed, Gholamreza Haffari

Comments 18 pages, 6 figures, 5 tables. The paper has been published in the Findings of the Association for Computational Linguistics: EMNLP 2024

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

Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues

Yuncheng Hua, Lizhen Qu, Gholamreza Haffari

Comments 28 pages, 3 figures, 14 tables; The paper has been published in the Findings of the Association for Computational Linguistics: EMNLP 2024

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

A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia

Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kıcıman, Hamid Palangi, Barun Patra, Robert West

Comments Accepted at ACL 2024 (main conference)

Partial Colexifications Improve Concept Embeddings

Arne Rubehn, Johann-Mattis List

Comments Submitted to the 63rd Annual Meeting of the Association for Computational Linguistics, Vienna, Austria

Syntriever: How to Train Your Retriever with Synthetic Data from LLMs

Minsang Kim, Seungjun Baek

Comments the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL), Findings, Accepted

Analysing The Impact of Sequence Composition on Language Model Pre-Training

Yu Zhao, Yuanbin Qu, Konrad Staniszewski, Szymon Tworkowski, Wei Liu, Piotr Miłoś, Yuxiang Wu, Pasquale Minervini

Journal ref Analysing The Impact of Sequence Composition on Language Model Pre-Training (Zhao et al., ACL 2024)

Zero-Shot Belief: A Hard Problem for LLMs

John Murzaku, Owen Rambow

Comments Submitted to ACL 2025

MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs

Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr

Journal ref 2024.acl-long.419

ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning

Vy Vo, Lizhen Qu, Tao Feng, Yuncheng Hua, Xiaoxi Kang, Songhai Fan, Tim Dwyer, Lay-Ki Soon, Gholamreza Haffari

Journal ref Proceedings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics

Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion

Jacob K Christopher, Brian R Bartoldson, Tal Ben-Nun, Michael Cardei, Bhavya Kailkhura, Ferdinando Fioretto

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

ExtremeBB: A Database for Large-Scale Research into Online Hate, Harassment, the Manosphere and Extremism

Anh V. Vu, Lydia Wilson, Yi Ting Chua, Ilia Shumailov, Ross Anderson

Journal ref ACL Workshop on Online Abuse and Harms (WOAH@ACL) 2023

Ignore the KL Penalty! Boosting Exploration on Critical Tokens to Enhance RL Fine-Tuning

Jean Vassoyan, Nathanaël Beau, Roman Plaud

Comments 11 pages, 6 figures, 5 tables. Accepted for publication in the Findings of the North American Chapter of the Association for Computational Linguistics (NAACL) 2025

RideKE: Leveraging Low-Resource, User-Generated Twitter Content for Sentiment and Emotion Detection in Kenyan Code-Switched Dataset

Naome A. Etori, Maria L. Gini

Comments Accepted in WASSA 2024

Journal ref Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis. Association for Computational Linguistics, 2024

Incongruence Identification in Eyewitness Testimony

Akshara Nair, Zeba Afroz, Md Shad Akhtar

Comments 9 pages,10 tables. Under review at ACL ARR 2024. Includes supplementary appendix with detailed evaluation results

MCQG-SRefine: Multiple Choice Question Generation and Evaluation with Iterative Self-Critique, Correction, and Comparison Feedback

Zonghai Yao, Aditya Parashar, Huixue Zhou, Won Seok Jang, Feiyun Ouyang, Zhichao Yang, Hong Yu

Comments Equal contribution for the first two authors. To appear in proceedings of the Main Conference on 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL). Keywords: Question Generation, USMLE, Self-Refine, Self-Critique, and Self-Correction, LLM-as-Judge, AI for Medical Education

Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding

Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Gang Chen, Sharad Mehrotra

Comments Accepted to ACL 2024

BitAbuse: A Dataset of Visually Perturbed Texts for Defending Phishing Attacks

Hanyong Lee, Chaelyn Lee, Yongjae Lee, Jaesung Lee

Comments 18 pages, To appear in the Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics 2025