NAACL

As easy as PIE: understanding when pruning causes language models to disagree

Pietro Tropeano, Maria Maistro, Tuukka Ruotsalo, Christina Lioma

Comments Accepted to NAACL 2025 (Findings)

Datasets for Depression Modeling in Social Media: An Overview

Ana-Maria Bucur, Andreea-Codrina Moldovan, Krutika Parvatikar, Marcos Zampieri, Ashiqur R. KhudaBukhsh, Liviu P. Dinu

Comments Accepted to CLPsych Workshop, NAACL 2025

Tricking Retrievers with Influential Tokens: An Efficient Black-Box Corpus Poisoning Attack

Cheng Wang, Yiwei Wang, Yujun Cai, Bryan Hooi

Comments Accepted to NAACL 2025 Main Track

Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAG

Kushagra Bhushan, Yatin Nandwani, Dinesh Khandelwal, Sonam Gupta, Gaurav Pandey, Dinesh Raghu, Sachindra Joshi

Comments 22 pages, 14 tables, to be published in NAACL 2025

IHEval: Evaluating Language Models on Following the Instruction Hierarchy

Zhihan Zhang, Shiyang Li, Zixuan Zhang, Xin Liu, Haoming Jiang, Xianfeng Tang, Yifan Gao, Zheng Li, Haodong Wang, Zhaoxuan Tan, Yichuan Li, Qingyu Yin, Bing Yin, Meng Jiang

Comments Accepted to NAACL 2025 for oral presentation. Our project page is located at https://ytyz1307zzh.github.io/iheval.github.io

"Is There Anything Else?'': Examining Administrator Influence on Linguistic Features from the Cookie Theft Picture Description Cognitive Test

Changye Li, Zhecheng Sheng, Trevor Cohen, Serguei Pakhomov

Comments Accepted to CMCL 2025 workshop, co-located with NAACL 2025

Bigger But Not Better: Small Neural Language Models Outperform Large Language Models in Detection of Thought Disorder

Changye Li, Weizhe Xu, Serguei Pakhomov, Ellen Bradley, Dror Ben-Zeev, Trevor Cohen

Comments Accepted to CL Psych 2025 workshop, co-located with NAACL 2025

Untangling the Influence of Typology, Data and Model Architecture on Ranking Transfer Languages for Cross-Lingual POS Tagging

Enora Rice, Ali Marashian, Hannah Haynie, Katharina von der Wense, Alexis Palmer

Comments Accepted to NAACL 2025 Workshop Language Models for Underserved Communities

PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles

Li Siyan, Vethavikashini Chithrra Raghuram, Omar Khattab, Julia Hirschberg, Zhou Yu

Comments Accepted to NAACL 2025 Main Conference

A Comparative Analysis of Word Segmentation, Part-of-Speech Tagging, and Named Entity Recognition for Historical Chinese Sources, 1900-1950

Zhao Fang, Liang-Chun Wu, Xuening Kong, Spencer Dean Stewart

Comments Accepted to NLP4DH 2025 at NAACL 2025

Contextual Metric Meta-Evaluation by Measuring Local Metric Accuracy

Athiya Deviyani, Fernando Diaz

Comments Accepted to NAACL 2025 (Findings)

Context-Efficient Retrieval with Factual Decomposition

Yanhong Li, David Yunis, David McAllester, Jiawei Zhou

Comments NAACL 2025 Main Conference

FLEX: A Benchmark for Evaluating Robustness of Fairness in Large Language Models

Dahyun Jung, Seungyoon Lee, Hyeonseok Moon, Chanjun Park, Heuiseok Lim

Comments Accepted to NAACL 2025 findings

DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models

Suyoung Bae, YunSeok Choi, Jee-Hyong Lee

Comments Accepted to NAACL 2025 main. 20 pages, 3 figures

Linguistic Blind Spots of Large Language Models

Jiali Cheng, Hadi Amiri

Comments NAACL 2025 Cognitive Modeling and Computational Linguistics Workshop

Journal ref NAACL 2025 CMCL Workshop

Evaluating Bias in LLMs for Job-Resume Matching: Gender, Race, and Education

Hayate Iso, Pouya Pezeshkpour, Nikita Bhutani, Estevam Hruschka

Comments NAACL 2025: Industry Track

Where is this coming from? Making groundedness count in the evaluation of Document VQA models

Armineh Nourbakhsh, Siddharth Parekh, Pranav Shetty, Zhao Jin, Sameena Shah, Carolyn Rose

Comments Accepted to NAACL Findings 2025

Masks and Mimicry: Strategic Obfuscation and Impersonation Attacks on Authorship Verification

Kenneth Alperin, Rohan Leekha, Adaku Uchendu, Trang Nguyen, Srilakshmi Medarametla, Carlos Levya Capote, Seth Aycock, Charlie Dagli

Comments Accepted at NLP4DH Workshop @ NAACL 2025

Coverage-based Fairness in Multi-document Summarization

Haoyuan Li, Yusen Zhang, Rui Zhang, Snigdha Chaturvedi

Comments accepted to NAACL 2025

Natural Language Processing for Human Resources: A Survey

Naoki Otani, Nikita Bhutani, Estevam Hruschka

Comments NAACL 2025 Industry Track

VANE-Bench: Video Anomaly Evaluation Benchmark for Conversational LMMs

Rohit Bharadwaj, Hanan Gani, Muzammal Naseer, Fahad Shahbaz Khan, Salman Khan

Comments Accepted to NAACL 2025

The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models

Seungone Kim, Juyoung Suk, Ji Yong Cho, Shayne Longpre, Chaeeun Kim, Dongkeun Yoon, Guijin Son, Yejin Cho, Sheikh Shafayat, Jinheon Baek, Sue Hyun Park, Hyeonbin Hwang, Jinkyung Jo, Hyowon Cho, Haebin Shin, Seongyun Lee, Hanseok Oh, Noah Lee, Namgyu Ho, Se June Joo, Miyoung Ko, Yoonjoo Lee, Hyungjoo Chae, Jamin Shin, Joel Jang, Seonghyeon Ye, Bill Yuchen Lin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo

Comments NAACL 2025 (Main Conference)

Mapping Hymns and Organizing Concepts in the Rigveda: Quantitatively Connecting the Vedic Suktas

Venkatesh Bollineni, Igor Crk, Eren Gultepe

Comments Accepted to NLP4DH 2025 at NAACL 2025

SUNAR: Semantic Uncertainty based Neighborhood Aware Retrieval for Complex QA

V Venktesh, Mandeep Rathee, Avishek Anand

Comments Accepted at NAACL 2025 Main Conference

Language-specific Neurons Do Not Facilitate Cross-Lingual Transfer

Soumen Kumar Mondal, Sayambhu Sen, Abhishek Singhania, Preethi Jyothi

Comments Accepted (oral) at NAACL 2025 (InsightsNLP)

Leveraging Allophony in Self-Supervised Speech Models for Atypical Pronunciation Assessment

Kwanghee Choi, Eunjung Yeo, Kalvin Chang, Shinji Watanabe, David Mortensen

Comments Accepted to NAACL 2025. Codebase available at https://github.com/juice500ml/acoustic-units-for-ood

Sneaking Syntax into Transformer Language Models with Tree Regularization

Ananjan Nandi, Christopher D. Manning, Shikhar Murty

Comments Accepted to NAACL 2025

WaveFM: A High-Fidelity and Efficient Vocoder Based on Flow Matching

Tianze Luo, Xingchen Miao, Wenbo Duan

Comments Accepted to the main conference of NAACL 2025. The codes are available at https://github.com/luotianze666/WaveFM

Medifact at PerAnsSumm 2025: Leveraging Lightweight Models for Perspective-Specific Summarization of Clinical Q&A Forums

Nadia Saeed

Comments This paper accepted in PerAnsSumm: Perspective-aware Healthcare answer summarization, a shared task organized at the CL4Health workshop colocated with NAACL 2025

Who Relies More on World Knowledge and Bias for Syntactic Ambiguity Resolution: Humans or LLMs?

So Young Lee, Russell Scheinberg, Amber Shore, Ameeta Agrawal

Comments Accepted at NAACL 2025 main