NAACL

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/

Token-based Decision Criteria Are Suboptimal in In-context Learning

Hakaze Cho, Yoshihiro Sakai, Mariko Kato, Kenshiro Tanaka, Akira Ishii, Naoya Inoue

Comments 24 pages, 15 figures, 13 tables. NAACL 2025 Main Conference Accepted. Camera-ready version

Code-Optimise: Self-Generated Preference Data for Correctness and Efficiency

Leonidas Gee, Milan Gritta, Gerasimos Lampouras, Ignacio Iacobacci

Comments NAACL 2025 (Findings)

Lost in Overlap: Exploring Logit-based Watermark Collision in LLMs

Yiyang Luo, Ke Lin, Chao Gu, Jiahui Hou, Lijie Wen, Ping Luo

Comments Long Paper, 9 pages, accepted at NAACL 2025 Findings

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)

MASTER: A Multi-Agent System with LLM Specialized MCTS

Bingzheng Gan, Yufan Zhao, Tianyi Zhang, Jing Huang, Yusu Li, Shu Xian Teo, Changwang Zhang, Wei Shi

Comments Accepted by main NAACL 2025

DART: An AIGT Detector using AMR of Rephrased Text

Hyeonchu Park, Byungjun Kim, Bugeun Kim

Comments Presented in NAACL 2025

TinyThinker: Distilling Reasoning through Coarse-to-Fine Knowledge Internalization with Self-Reflection

Shengmin Piao, Sanghyun Park

Comments Accepted by NAACL 2025 Main Conference

Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling

Guangya Wan, Yuqi Wu, Jie Chen, Sheng Li

Comments Accepted to NAACL 2025

DREAM: Improving Video-Text Retrieval Through Relevance-Based Augmentation Using Large Foundation Models

Yimu Wang, Shuai Yuan, Bo Xue, Xiangru Jian, Wei Pang, Mushi Wang, Ning Yu

Comments NAACL 2025

DyPCL: Dynamic Phoneme-level Contrastive Learning for Dysarthric Speech Recognition

Wonjun Lee, Solee Im, Heejin Do, Yunsu Kim, Jungseul Ok, Gary Geunbae Lee

Comments NAACL 2025 main conference, 9pages, 1 page appendix

Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models

Haritz Puerto, Martin Gubri, Sangdoo Yun, Seong Joon Oh

Comments Findings of NAACL 2025. Our code is available at https://github.com/parameterlab/mia-scaling

The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model design

Artem Snegirev, Maria Tikhonova, Anna Maksimova, Alena Fenogenova, Alexander Abramov

Comments to appear in NAACL 2025

kNN Retrieval for Simple and Effective Zero-Shot Multi-speaker Text-to-Speech

Karl El Hajal, Ajinkya Kulkarni, Enno Hermann, Mathew Magimai. -Doss

Comments Accepted at NAACL 2025

SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials

Wonjoong Kim, Sangwu Park, Yeonjun In, Seokwon Han, Chanyoung Park

Comments Findings of NAACL 2025

COVE: COntext and VEracity prediction for out-of-context images

Jonathan Tonglet, Gabriel Thiem, Iryna Gurevych

Comments Camera-ready version accepted to NAACL 2025 Main Conference

Jailbreaking with Universal Multi-Prompts

Yu-Ling Hsu, Hsuan Su, Shang-Tse Chen

Comments Accepted by NAACL Findings 2025

MODS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collections

Nishant Balepur, Alexa Siu, Nedim Lipka, Franck Dernoncourt, Tong Sun, Jordan Boyd-Graber, Puneet Mathur

Comments Accepted at NAACL 2025(main)

Fighting Spurious Correlations in Text Classification via a Causal Learning Perspective

Yuqing Zhou, Ziwei Zhu

Comments Accepted to NAACL 2025

Language Models Encode Numbers Using Digit Representations in Base 10

Amit Arnold Levy, Mor Geva

Comments Accepted at NAACL 2025

TESTEVAL: Benchmarking Large Language Models for Test Case Generation

Wenhan Wang, Chenyuan Yang, Zhijie Wang, Yuheng Huang, Zhaoyang Chu, Da Song, Lingming Zhang, An Ran Chen, Lei Ma

Comments In NAACL 2025 findings

Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance Paraphrasing

Hadi Askari, Anshuman Chhabra, Muhao Chen, Prasant Mohapatra

Comments Accepted to NAACL 2025 Findings

AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence

Minbeom Kim, Hwanhee Lee, Joonsuk Park, Hwaran Lee, Kyomin Jung

Comments 19 pages, 11 figures

Journal ref NAACL 2025

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing

James Seale Smith, Chi-Heng Lin, Shikhar Tuli, Haris Jeelani, Shangqian Gao, Yilin Shen, Hongxia Jin, Yen-Chang Hsu

Comments Accepted to NAACL 2025 - Main Conference

On the Impact of Noise in Differentially Private Text Rewriting

Stephen Meisenbacher, Maulik Chevli, Florian Matthes

Comments 19 pages, 3 figures, 9 tables. Accepted to NAACL 2025 (Findings)

Predicting the Target Word of Game-playing Conversations using a Low-Rank Dialect Adapter for Decoder Models

Dipankar Srirag, Aditya Joshi, Jacob Eisenstein

Comments Accepted to NAACL 2025

Preference Consistency Matters: Enhancing Preference Learning in Language Models with Automated Self-Curation of Training Corpora

JoonHo Lee, JuYoun Son, Juree Seok, Wooseok Jang, Yeong-Dae Kwon

Comments Accepted to NAACL 2025 main conference

Complete Chess Games Enable LLM Become A Chess Master

Yinqi Zhang, Xintian Han, Haolong Li, Kedi Chen, Shaohui Lin

Comments NAACL 2025

ToW: Thoughts of Words Improve Reasoning in Large Language Models

Zhikun Xu, Ming Shen, Jacob Dineen, Zhaonan Li, Xiao Ye, Shijie Lu, Aswin RRV, Chitta Baral, Ben Zhou

Comments Accepted by NAACL 2025 Main Conference

The Impact of Visual Information in Chinese Characters: Evaluating Large Models' Ability to Recognize and Utilize Radicals

Xiaofeng Wu, Karl Stratos, Wei Xu

Comments Accepted to NAACL 2025