NAACL 2025

1,927 papers

Text Normalization for Sentiment Analysis in Japanese Social Media

Risa Kondo, Ayu Teramen, Reon Kajikawa, Koki Horiguchi, Tomoyuki Kajiwara

From Conversational Speech to Readable Text: Post-Processing Noisy Transcripts in a Low-Resource Setting

Arturs Znotins, Normunds Gruzitis, Roberts Dargis

Wikipedia is Not a Dictionary, Delete! Text Classification as a Proxy for Analysing Wiki Deletion Discussions

Hsuvas Borkakoty, Luis Espinosa-Anke

Enhancing NER Performance in Low-Resource Pakistani Languages using Cross-Lingual Data Augmentation

Toqeer Ehsan, Thamar Solorio

Multi-BERT: Leveraging Adapters for Low-Resource Multi-Domain Adaptation

Parham Abed Azad, Hamid Beigy

Automatically Generating Chinese Homophone Words to Probe Machine Translation Estimation Systems

Shenbin Qian, Constantin Orasan, Diptesh Kanojia, Félix do Carmo

FaBERT: Pre-training BERT on Persian Blogs

Mostafa Masumi, Seyed Soroush Majd, Mehrnoush Shamsfard, Hamid Beigy

Prompt Guided Diffusion for Controllable Text Generation

Mohaddeseh Mirbeygi, Hamid Beigy

Applying Transformer Architectures to Detect Cynical Comments in Spanish Social Media

Samuel González-López, Steven Bethard, Rogelio Platt-Molina, Francisca Orozco

On-Device LLMs for Home Assistant: Dual Role in Intent Detection and Response Generation

Rune Birkmose, Nathan Mørkeberg Reece, Esben Hofstedt Norvin, Johannes Bjerva, Mike Zhang

We’re Calling an Intervention: Exploring Fundamental Hurdles in Adapting Language Models to Nonstandard Text

Aarohi Srivastava, David Chiang

Automatic normalization of noisy technical reports with an LLM: What effects on a downstream task?

Mariame Maarouf, Ludovic Tanguy

Identifying and analyzing ‘noisy’ spelling errors in a second language corpus

Alan Juffs, Ben Naismith

Restoring Missing Spaces in Scraped Hebrew Social Media

Avi Shmidman, Shaltiel Shmidman

Sentiment Analysis on Video Transcripts: Comparing the Value of Textual and Multimodal Annotations

Quanqi Du, Loic De Langhe, Els Lefever, Véronique Hoste

Towards a Social Media-based Disease Surveillance System for Early Detection of Influenza-like Illnesses: A Twitter Case Study in Wales

Mark Drakesmith, Dimosthenis Antypas, Clare Brown, Jose Camacho-Collados, Jiao Song

Speaker Identification and Dataset Construction Using LLMs: A Case Study on Japanese Narratives

Seiji Gobara, Hidetaka Kamigaito, Taro Watanabe

Narrative Studio: Visual narrative exploration using LLMs and Monte Carlo Tree Search

Parsa Ghaffari, Chris Hokamp

Tracking Evolving Relationship Between Characters in Books in the Era of Large Language Models

Abhilasha Sancheti, Rachel Rudinger

CHATTER: A character-attribution dataset for narrative understanding

Sabyasachee Baruah, Shrikanth Narayanan

Beyond LLMs A Linguistic Approach to Causal Graph Generation from Narrative Texts

Zehan Li, Ruhua Pan, Xinyu Pi

A Theoretical Framework for Evaluating Narrative Surprise in Large Language Models

Annaliese Bissell, Ella Paulin, Andrew Piper

Finding Common Patterns in Domestic Violence Stories Posted on Reddit

Mohammad Shokri, Emily Klapper, Jason Shan, Sarah Ita Levitan

On the Transferability of Causal Knowledge for Language Models

Gourab Dey, Yash Kumar Lal

NarraDetect: An annotated dataset for the task of narrative detection

Andrew Piper, Sunyam Bagga

FACTOID: FACtual enTailment fOr hallucInation Detection

Vipula Rawte, S.M Towhidul Islam Tonmoy, Shravani Nag, Aman Chadha, Amit Sheth

Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation

Neeraj Varshney, Satyam Raj, Venkatesh Mishra, Agneet Chatterjee, Amir Saeidi

Gender Bias in Large Language Models across Multiple Languages: A Case Study of ChatGPT

YiTian Ding, Jinman Zhao, Chen Jia, Yining Wang, Zifan Qian

A Lightweight Multi Aspect Controlled Text Generation Solution For Large Language Models

Chenyang Zhang, Jiayi Lin, Haibo Tong, Bingxuan Hou, Dongyu Zhang

Synthetic Lyrics Detection Across Languages and Genres

Yanis Labrak, Markus Frohmann, Gabriel Meseguer-Brocal, Elena V. Epure

Revitalizing Saturated Benchmarks: A Weighted Metric Approach for Differentiating Large Language Model Performance

Bryan Etzine, Masoud Hashemi, Nishanth Madhusudhan, Sagar Davasam, Roshnee Sharma

Defining and Quantifying Visual Hallucinations in Vision-Language Models

Vipula Rawte, Aryan Mishra, Amit Sheth, Amitava Das

Gender Encoding Patterns in Pretrained Language Model Representations

Mahdi Zakizadeh, Mohammad Taher Pilehvar

Disentangling Linguistic Features with Dimension-Wise Analysis of Vector Embeddings

Saniya Karwa, Navpreet Singh

Will the Prince Get True Love’s Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts

Christina A Chance, Da Yin, Dakuo Wang, Kai-Wei Chang

Battling Misinformation: An Empirical Study on Adversarial Factuality in Open-Source Large Language Models

Shahnewaz Karim Sakib, Anindya Bijoy Das, Shibbir Ahmed

Evaluating Design Choices in Verifiable Generation with Open-source Models

Shuyang Cao, Lu Wang

A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs

Umesh Bodhwani, Yuan Ling, Shujing Dong, Yarong Feng, Hongfei Li

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

Neelabh Sinha, Vinija Jain, Aman Chadha

Difficulty Estimation in Natural Language Tasks with Action Scores

Aleksandar Angelov, Tsegaye Misikir Tashu, Matias Valdenegro-Toro

Building Safe GenAI Applications: An End-to-End Overview of Red Teaming for Large Language Models

Alberto Purpura, Sahil Wadhwa, Jesse Zymet, Akshay Gupta, Andy Luo

Know Thyself: Validating Knowledge Awareness of LLM-based Persona Agents

Savita Bhat, Ishaan Shukla, Shirish Karande

Monte Carlo Temperature: a robust sampling strategy for LLM’s uncertainty quantification methods

Nicola Cecere, Andrea Bacciu, Ignacio Fernández-Tobías, Amin Mantrach

On the Robustness of Agentic Function Calling

Ella Rabinovich, Ateret Anaby Tavor

Mimicking How Humans Interpret Out-of-Context Sentences Through Controlled Toxicity Decoding

Maria Mihaela Trusca, Liesbeth Allein

Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads

Yi Yang, Hanyu Duan, Ahmed Abbasi, John P. Lalor, Kar Yan Tam

Summary the Savior: Harmful Keyword and Query-based Summarization for LLM Jailbreak Defense

Shagoto Rahman, Ian Harris

Know What You do Not Know: Verbalized Uncertainty Estimation Robustness on Corrupted Images in Vision-Language Models

Mirko Borszukovszki, Ivo Pascal De Jong, Matias Valdenegro-Toro

ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models

Vipula Rawte, Sarthak Jain, Aarush Sinha, Garv Kaushik, Aman Bansal

Do Voters Get the Information They Want? Understanding Authentic Voter FAQs in the US and How to Improve for Informed Electoral Participation

Vipula Rawte, Deja N Scott, Gaurav Kumar, Aishneet Juneja, Bharat Sowrya Yaddanapalli

BiasEdit: Debiasing Stereotyped Language Models via Model Editing

Xin Xu, Wei Xu, Ningyu Zhang, Julian McAuley

Rainbow-Teaming for the Polish Language: A Reproducibility Study

Aleksandra Krasnodebska, Maciej Chrabaszcz, Wojciech Kusa

Multi-lingual Multi-turn Automated Red Teaming for LLMs

Abhishek Singhania, Christophe Dupuy, Shivam Sadashiv Mangale, Amani Namboori

Line of Duty: Evaluating LLM Self-Knowledge via Consistency in Feasibility Boundaries

Sahil Kale, Vijaykant Nadadur

Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification

Lu Wei, Liangzhi Li, Tong Xiang, Liu Xiao, Noa Garcia

Minimal Evidence Group Identification for Claim Verification

Xiangci Li, Sihao Chen, Rajvi Kapadia, Jessica Ouyang, Fan Zhang

Break the Breakout: Reinventing LM Defense Against Jailbreak Attacks with Self-Refine

Heegyu Kim, Hyunsouk Cho

Error Detection for Multimodal Classification

Thomas Bonnier

Smaller Large Language Models Can Do Moral Self-Correction

Guangliang Liu, Zhiyu Xue, Xitong Zhang, Rongrong Wang, Kristen Johnson

Ambiguity Detection and Uncertainty Calibration for Question Answering with Large Language Models

Zhengyan Shi, Giuseppe Castellucci, Simone Filice, Saar Kuzi, Elad Kravi

PBI-Attack: Prior-Guided Bimodal Interactive Black-Box Jailbreak Attack for Toxicity Maximization

Ruoxi Cheng, Yizhong Ding, Shuirong Cao, Ranjie Duan, Xiaoshuang Jia

Gibberish is All You Need for Membership Inference Detection in Contrastive Language-Audio Pretraining

Ruoxi Cheng, Yizhong Ding, Shuirong Cao, Zhiqiang Wang, Shitong Shao

Beyond Text-to-SQL for IoT Defense: A Comprehensive Framework for Querying and Classifying IoT Threats

Ryan Pavlich, Nima Ebadi, Richard Tarbell, Billy Linares, Adrian Tan

Probing Neural Network Generalization using Default Patterns

Brandon Prickett, Tianyi Niu, Katya Pertsova

The Impact of Dialect Variation on Robust Automatic Speech Recognition for Catalan

Zachary Hopton, Eleanor Chodroff

West Germanic noun-noun compounds and the morphology-syntax trade-off

Pablo Mosteiro, Damian Blasi, Denis Paperno

Prompt and circumstance: A word-by-word LLM prompting approach to interlinear glossing for low-resource languages

Micha Elsner, David Liu

Vocabulary-level Memory Efficiency for Language Model Fine-tuning

Miles Williams, Nikolaos Aletras

Large Language Models Are Overparameterized Text Encoders

Thennal D K, Tim Fischer, Chris Biemann

State Space Models are Strong Text Rerankers

Zhichao Xu, Jinghua Yan, Ashim Gupta, Vivek Srikumar

Amuro & Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models

Kaiser Sun, Mark Dredze

Punctuation Restoration Improves Structure Understanding without Supervision

Junghyun Min, Minho Lee, Woochul Lee, Yeonsoo Lee

Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution

Tatiana Anikina, Arne Binder, David Harbecke, Stalin Varanasi, Leonhard Hennig

Investigating Adapters for Parameter-efficient Low-resource Automatic Speech Recognition

Ahnaf Mozib Samin, Shekhar Nayak, Andrea De Marco, Claudia Borg

Efficient Document-level Event Relation Extraction

Ruochen Li, Zimu Wang, Xinya Du

Choose Your Words Wisely: Domain-adaptive Masking Makes Language Models Learn Faster

Vanshpreet S. Kohli, Aaron Monis, Radhika Mamidi

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension

Saahith Janapati, Yangfeng Ji

Cross-Modal Learning for Music-to-Music-Video Description Generation

Zhuoyuan Mao, Mengjie Zhao, Qiyu Wu, Zhi Zhong, Wei-Hsiang Liao

Prompt Tuning Can Simply Adapt Large Language Models to Text Encoders

Kaiyan Zhao, Qiyu Wu, Zhongtao Miao, Yoshimasa Tsuruoka

Tracking Universal Features Through Fine-Tuning and Model Merging

Niels Nielsen Horn, Desmond Elliott

DEPTH: Discourse Education through Pre-Training Hierarchically

Zachary Elisha Bamberger, Ofek Glick, Chaim Baskin, Yonatan Belinkov

A Bayesian account of pronoun and neopronoun acquisition

Cassandra L Jacobs, Morgan Grobol

Leveraging Large Language Models in Detecting Anti-LGBTQIA+ User-generated Texts

Quoc-Toan Nguyen, Josh Nguyen, Tuan Pham, William John Teahan

Dehumanization of LGBTQ+ Groups in Sexual Interactions with ChatGPT

Alexandria Leto, Juan Vásquez, Alexis Palmer, Maria Leonor Pacheco

Guardrails, not Guidance: Understanding Responses to LGBTQ+ Language in Large Language Models

Joshua Tint

Studying the Representation of the LGBTQ+ Community in RuPaul’s Drag Race with LLM-Based Topic Modeling

Mika Hämäläinen

Investigating User Perspectives on Differentially Private Text Privatization

Stephen Meisenbacher, Alexandra Klymenko, Alexander Karpp, Florian Matthes

Beyond De-Identification: A Structured Approach for Defining and Detecting Indirect Identifiers in Medical Texts

Ibrahim Baroud, Lisa Raithel, Sebastian Möller, Roland Roller

Beyond Reconstruction: Generating Privacy-Preserving Clinical Letters

Libo Ren, Samuel Belkadi, Lifeng Han, Warren Del-Pinto, Goran Nenadic

Inspecting the Representation Manifold of Differentially-Private Text

Stefan Arnold

Named Entity Inference Attacks on Clinical LLMs: Exploring Privacy Risks and the Impact of Mitigation Strategies

Adam Sutton, Xi Bai, Kawsar Noor, Thomas Searle, Richard Dobson

Balancing Privacy and Utility in Personal LLM Writing Tasks: An Automated Pipeline for Evaluating Anonymizations

Stefan Pasch, Min Chul Cha

TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization Methods

Gabriel Loiseau, Damien Sileo, Damien Riquet, Maxime Meyer, Marc Tommasi

TUNI: A Textual Unimodal Detector for Identity Inference in CLIP Models

Songze Li, Ruoxi Cheng, Xiaojun Jia

HateImgPrompts: Mitigating Generation of Images Spreading Hate Speech

Vineet Kumar Khullar, Venkatesh Velugubantla, Bhanu Prakash Reddy Rella, Mohan Krishna Mannava, Msvpj Sathvik

Fearful Falcons and Angry Llamas: Emotion Category Annotations of Arguments by Humans and LLMs

Lynn Greschner, Roman Klinger

AI with Emotions: Exploring Emotional Expressions in Large Language Models

Shin-nosuke Ishikawa, Atsushi Yoshino

A Comprehensive Evaluation of Cognitive Biases in LLMs

Simon Malberg, Roman Poletukhin, Carolin M. Schuster, Georg Groh

Insights into developing analytical categorization schemes: three problem types related to annotation agreement

Pihla Toivanen, Eetu Mäkelä, Antti Kanner

Historical Ink: Exploring Large Language Models for Irony Detection in 19th-Century Spanish

Kevin Cohen, Laura Manrique-Gómez, Rubén Manrique