ACL

Using Source-Side Confidence Estimation for Reliable Translation into Unfamiliar Languages

Kenneth J. Sible, David Chiang

Comments 7 pages, 5 figures, 1 table. Submitted to ACL 2025 System Demonstrations

Historical Ink: 19th Century Latin American Spanish Newspaper Corpus with LLM OCR Correction

Laura Manrique-Gómez, Tony Montes, Arturo Rodríguez-Herrera, Rubén Manrique

Journal ref ACL, Proceedings of the 4th International Conference on Natural Language Processing for Digital Humanities, pages 132-139, 2024

Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation

Jeff Da, Maxwell Forbes, Rowan Zellers, Anthony Zheng, Jena D. Hwang, Antoine Bosselut, Yejin Choi

Comments ACL 2021

Improving Preference Extraction In LLMs By Identifying Latent Knowledge Through Classifying Probes

Sharan Maiya, Yinhong Liu, Ramit Debnath, Anna Korhonen

Comments preprint, submitted to ACL ARR 2025, 21 pages, 23 figures

A Modular Dataset to Demonstrate LLM Abstraction Capability

Adam Atanas, Kai Liu

Comments 7 pages, 5 figures. Submitted to ACL 2025

Deciphering Oracle Bone Language with Diffusion Models

Haisu Guan, Huanxin Yang, Xinyu Wang, Shengwei Han, Yongge Liu, Lianwen Jin, Xiang Bai, Yuliang Liu

Comments ACL 2024 Best Paper

Large Language Models and Causal Inference in Collaboration: A Survey

Xiaoyu Liu, Paiheng Xu, Junda Wu, Jiaxin Yuan, Yifan Yang, Yuhang Zhou, Fuxiao Liu, Tianrui Guan, Haoliang Wang, Tong Yu, Julian McAuley, Wei Ai, Furong Huang

Comments Findings of the Association for Computational Linguistics: NAACL 2025

EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs

Sam Lin, Wenyue Hua, Zhenting Wang, Mingyu Jin, Lizhou Fan, Yongfeng Zhang

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

Using Contextually Aligned Online Reviews to Measure LLMs' Performance Disparities Across Language Varieties

Zixin Tang, Chieh-Yang Huang, Tsung-Che Li, Ho Yin Sam Ng, Hen-Hsen Huang, Ting-Hao 'Kenneth' Huang

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

ULTRA: Unleash LLMs' Potential for Event Argument Extraction through Hierarchical Modeling and Pair-wise Self-Refinement

Xinliang Frederick Zhang, Carter Blum, Temma Choji, Shalin Shah, Alakananda Vempala

Comments ACL'24 Findings

Benchmarking Failures in Tool-Augmented Language Models

Eduardo Treviño, Hugo Contant, James Ngai, Graham Neubig, Zora Zhiruo Wang

Journal ref 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics

AdaST: Dynamically Adapting Encoder States in the Decoder for End-to-End Speech-to-Text Translation

Wuwei Huang, Dexin Wang, Deyi Xiong

Comments ACL 2021 Findings

Cerebrum (AIOS SDK): A Platform for Agent Development, Deployment, Distribution, and Discovery

Balaji Rama, Kai Mei, Yongfeng Zhang

Comments Accepted to the 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) - System Demonstration Track

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

Are Small Language Models Ready to Compete with Large Language Models for Practical Applications?

Neelabh Sinha, Vinija Jain, Aman Chadha

Comments Accepted at The Fifth Workshop on Trustworthy Natural Language Processing (TrustNLP 2025) in Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL), 2025. 8 pages + references + Appendix

Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language Models

Guanming Xiong, Junwei Bao, Wen Zhao

Comments This work has been accepted by the ACL 2024 main conference. Code and data are available at: https://github.com/JimXiongGM/Interactive-KBQA

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/

BIPED: Pedagogically Informed Tutoring System for ESL Education

Soonwoo Kwon, Sojung Kim, Minju Park, Seunghyun Lee, Kyuseok Kim

Comments ACL 2024

Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation

Mingzhe Li, XieXiong Lin, Xiuying Chen, Jinxiong Chang, Qishen Zhang, Feng Wang, Taifeng Wang, Zhongyi Liu, Wei Chu, Dongyan Zhao, Rui Yan

Comments Accepted by ACL2022

Improving Hate Speech Classification with Cross-Taxonomy Dataset Integration

Jan Fillies, Adrian Paschke

Comments Accepted for publication at LaTeCH-CLfL 2025. The 9th Joint ACL Special Interest Group on Language Technologies for the Socio-Economic Sciences and Humanities (SIGHUM) Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature

A Confidence-based Acquisition Model for Self-supervised Active Learning and Label Correction

Carel van Niekerk, Christian Geishauser, Michael Heck, Shutong Feng, Hsien-chin Lin, Nurul Lubis, Benjamin Ruppik, Renato Vukovic, Milica Gašić

Journal ref Transactions of the Association for Computational Linguistics 2025 version 13

Tgea: An error-annotated dataset and benchmark tasks for text generation from pretrained language models

Jie He, Bo Peng, Yi Liao, Qun Liu, Deyi Xiong

Comments ACL 2021

Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models

Mingda Li, Xinyu Li, Yifan Chen, Wenfeng Xuan, Weinan Zhang

Comments ACL 2024 (findings)

Word Form Matters: LLMs' Semantic Reconstruction under Typoglycemia

Chenxi Wang, Tianle Gu, Zhongyu Wei, Lang Gao, Zirui Song, Xiuying Chen

Comments 14 pages, 10 figures, submitted to ACL Rolling Review, February 2025 cycle, see https://github.com/Aurora-cx/TypoLLM

Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens

Xinsheng Wang, Mingqi Jiang, Ziyang Ma, Ziyu Zhang, Songxiang Liu, Linqin Li, Zheng Liang, Qixi Zheng, Rui Wang, Xiaoqin Feng, Weizhen Bian, Zhen Ye, Sitong Cheng, Ruibin Yuan, Zhixian Zhao, Xinfa Zhu, Jiahao Pan, Liumeng Xue, Pengcheng Zhu, Yunlin Chen, Zhifei Li, Xie Chen, Lei Xie, Yike Guo, Wei Xue

Comments Submitted to ACL 2025

Learning Task Decomposition to Assist Humans in Competitive Programming

Jiaxin Wen, Ruiqi Zhong, Pei Ke, Zhihong Shao, Hongning Wang, Minlie Huang

Comments ACL 2024 Main Conference

Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines

Michael Toker, Hadas Orgad, Mor Ventura, Dana Arad, Yonatan Belinkov

Comments Published in: ACL 2024 Project webpage: tokeron.github.io/DiffusionLensWeb

Inference to the Best Explanation in Large Language Models

Dhairya Dalal, Marco Valentino, André Freitas, Paul Buitelaar

Journal ref ACL.1(2024)217-235

How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?

Rheeya Uppaal, Yixuan Li, Junjie Hu

Comments Accepted to RepL4NLP at ACL 2024