NAACL 2025

1,927 papers

SafeQuant: LLM Safety Analysis via Quantized Gradient Inspection

Sindhu Padakandla, Sadbhavana Babar, Rathod Darshan D, Manohar Kaul

Language Models Largely Exhibit Human-like Constituent Ordering Preferences

Ada Tur, Gaurav Kamath, Siva Reddy

MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference

Zhongwei Wan, Hui Shen, Xin Wang, Che Liu, Zheda Mai

SymBa: Symbolic Backward Chaining for Structured Natural Language Reasoning

Jinu Lee, Wonseok Hwang

Enhancing Discriminative Representation in Similar Relation Clusters for Few-Shot Continual Relation Extraction

Anh Duc Le, Nam Le Hai, Thanh Xuan Nguyen, Linh Ngo Van, Nguyen Thi Ngoc Diep

Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection

Maximilian Spliethöver, Tim Knebler, Fabian Fumagalli, Maximilian Muschalik, Barbara Hammer

LiPO: Listwise Preference Optimization through Learning-to-Rank

Tianqi Liu, Zhen Qin, Junru Wu, Jiaming Shen, Misha Khalman

NormAd: A Framework for Measuring the Cultural Adaptability of Large Language Models

Abhinav Rao, Akhila Yerukola, Vishwa Shah, Katharina Reinecke, Maarten Sap

Exploring the Cost-Effectiveness of Perspective Taking in Crowdsourcing Subjective Assessment: A Case Study of Toxicity Detection

Xiaoni Duan, Zhuoyan Li, Chien-Ju Ho, Ming Yin

Fine-Tuned LLMs are “Time Capsules” for Tracking Societal Bias Through Books

Sangmitra Madhusudan, Robert Morabito, Skye Reid, Nikta Gohari Sadr, Ali Emami

MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs

Yuhang Zhou, Giannis Karamanolakis, Victor Soto, Anna Rumshisky, Mayank Kulkarni

Patent-CR: A Dataset for Patent Claim Revision

Lekang Jiang, Pascal A. Scherz, Stefan Goetz

From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks

Xiaofeng Zhang, Yihao Quan, Chen Shen, Xiaosong Yuan, Shaotian Yan

How Can We Diagnose and Treat Bias in Large Language Models for Clinical Decision-Making?

Kenza Benkirane, Jackie Kay, Maria Perez-Ortiz

Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models

Artem Vazhentsev, Lyudmila Rvanova, Ivan Lazichny, Alexander Panchenko, Maxim Panov

Cascading Large Language Models for Salient Event Graph Generation

Xingwei Tan, Yuxiang Zhou, Gabriele Pergola, Yulan He

Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation

Mingqi Gao, Xinyu Hu, Li Lin, Xiaojun Wan

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

Tianze Luo, Xingchen Miao, Wenbo Duan

What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and Length

Lindia Tjuatja, Graham Neubig, Tal Linzen, Sophie Hao

Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph Embedding

Jiang Li, Xiangdong Su, Guanglai Gao

MSc-SQL: Multi-Sample Critiquing Small Language Models For Text-To-SQL Translation

Satya Krishna Gorti, Ilan Gofman, Zhaoyan Liu, Jiapeng Wu, Noël Vouitsis

Uplifting Lower-Income Data: Strategies for Socioeconomic Perspective Shifts in Large Multi-modal Models

Joan Nwatu, Oana Ignat, Rada Mihalcea

WHoW: A Cross-domain Approach for Analysing Conversation Moderation

Ming-Bin Chen, Lea Frermann, Jey Han Lau

Language Models are Crossword Solvers

Soumadeep Saha, Sutanoya Chakraborty, Saptarshi Saha, Utpal Garain

Discourse-Driven Evaluation: Unveiling Factual Inconsistency in Long Document Summarization

Yang Zhong, Diane Litman

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

Jonathan Tonglet, Gabriel Thiem, Iryna Gurevych

From Allies to Adversaries: Manipulating LLM Tool-Calling through Adversarial Injection

Rupeng Zhang, Haowei Wang, Junjie Wang, Mingyang Li, Yuekai Huang

An Interpretable and Crosslingual Method for Evaluating Second-Language Dialogues

Rena Gao, Jingxuan Wu, Xuetong Wu, Carsten Roever, Jing Wu

Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models

Abhilasha Ravichander, Jillian Fisher, Taylor Sorensen, Ximing Lu, Maria Antoniak

Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss

Fu-An Chao, Berlin Chen

LLaSA: Large Language and Structured Data Assistant

Yao Xu, Shizhu He, Jiabei Chen, Xiangrong Zeng, Bingning Wang

DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning

Xinyu Tang, Xiaolei Wang, Wayne Xin Zhao, Ji-Rong Wen

Option Symbol Matters: Investigating and Mitigating Multiple-Choice Option Symbol Bias of Large Language Models

Zhen Yang, Ping Jian, Chengzhi Li

You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQL

Hideo Kobayashi, Wuwei Lan, Peng Shi, Shuaichen Chang, Jiang Guo

Revealing the Barriers of Language Agents in Planning

jian xie, Kexun Zhang, Jiangjie Chen, Siyu Yuan, Kai Zhang

AfriHate: A Multilingual Collection of Hate Speech and Abusive Language Datasets for African Languages

Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Abinew Ali Ayele, David Ifeoluwa Adelani, Ibrahim Said Ahmad

The Impact of Inference Acceleration on Bias of LLMs

Elisabeth Kirsten, Ivan Habernal, Vedant Nanda, Muhammad Bilal Zafar

Mixture of Multimodal Adapters for Sentiment Analysis

Kezhou Chen, Shuo Wang, Huixia Ben, Shengeng Tang, Yanbin Hao

VividMed: Vision Language Model with Versatile Visual Grounding for Medicine

Lingxiao Luo, Bingda Tang, Xuanzhong Chen, Rong Han, Ting Chen

Stealthy Jailbreak Attacks on Large Language Models via Benign Data Mirroring

Honglin Mu, Han He, Yuxin Zhou, Yunlong Feng, Yang Xu

Investigating the (De)Composition Capabilities of Large Language Models in Natural-to-Formal Language Conversion

Ziyao Xu, Houfeng Wang

Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory

Haoran Li, Wei Fan, Yulin Chen, Cheng Jiayang, Tianshu Chu

SafetyQuizzer: Timely and Dynamic Evaluation on the Safety of LLMs

Zhichao Shi, Shaoling Jing, Yi Cheng, Hao Zhang, Yuanzhuo Wang

A Survey of QUD Models for Discourse Processing

Yingxue Fu

Divergent Thoughts toward One Goal: LLM-based Multi-Agent Collaboration System for Electronic Design Automation

Haoyuan Wu, Haisheng Zheng, Zhuolun He, Bei Yu

ReasVQA: Advancing VideoQA with Imperfect Reasoning Process

Jianxin Liang, Xiaojun Meng, Huishuai Zhang, Yueqian Wang, Jiansheng Wei

EmoDynamiX: Emotional Support Dialogue Strategy Prediction by Modelling MiXed Emotions and Discourse Dynamics

Chenwei Wan, Matthieu Labeau, Chloé Clavel

Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts

Tong Zhu, Daize Dong, Xiaoye Qu, Jiacheng Ruan, Wenliang Chen

MATO: A Model-Agnostic Training Optimization for Aspect Sentiment Triplet Extraction

Shaopeng Tang, Lin Li, Xiaohui Tao, Leqi Zhong, Qing Xie

Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation

Tianyu Liu, Jirui Qi, Paul He, Arianna Bisazza, Mrinmaya Sachan

Investigating Human Values in Online Communities

Nadav Borenstein, Arnav Arora, Lucie-Aimée Kaffee, Isabelle Augenstein

A Multi-modal Large Language Model with Graph-of-Thought for Effective Recommendation

Zixuan Yi, Iadh Ounis

Mitigating Hallucinations in Multi-modal Large Language Models via Image Token Attention-Guided Decoding

Xinhao Xu, Hui Chen, Mengyao Lyu, Sicheng Zhao, Yizhe Xiong

Detect, Disambiguate, and Translate: On-Demand Visual Reasoning for Multimodal Machine Translation with Large Vision-Language Models

Danyang Liu, Fanjie Kong, Xiaohang Sun, Dhruva Patil, Avijit Vajpayee

What Did I Do Wrong? Quantifying LLMs’ Sensitivity and Consistency to Prompt Engineering

Federico Errica, Davide Sanvito, Giuseppe Siracusano, Roberto Bifulco

Large Language Models Are Cross-Lingual Knowledge-Free Reasoners

Peng Hu, Sizhe Liu, Changjiang Gao, Xin Huang, Xue Han

CompAct: Compressed Activations for Memory-Efficient LLM Training

Yara Shamshoum, Nitzan Hodos, Yuval Sieradzki, Assaf Schuster

Improving Data Annotation for Low-Resource Relation Extraction with Logical Rule-Augmented Collaborative Language Models

Xiyang Liu, Chunming Hu, Richong Zhang, Junfan Chen, Baowen Xu

RAP: A Metric for Balancing Repetition and Performance in Open-Source Large Language Models

Donghao Huang, Thanh-Son Nguyen, Fiona Liausvia, Zhaoxia Wang

ITALIC: An Italian Culture-Aware Natural Language Benchmark

Andrea Seveso, Daniele Potertì, Edoardo Federici, Mario Mezzanzanica, Fabio Mercorio

On the Role of Speech Data in Reducing Toxicity Detection Bias

Samuel Bell, Mariano Coria Meglioli, Megan Richards, Eduardo Sánchez, Christophe Ropers

Forest for the Trees: Overarching Prompting Evokes High-Level Reasoning in Large Language Models

Haoran Liao, Shaohua Hu, Zhihao Zhu, Hao He, Yaohui Jin

Can LLMs Convert Graphs to Text-Attributed Graphs?

Zehong Wang, Sidney Liu, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang

Little Giants: Synthesizing High-Quality Embedding Data at Scale

Haonan Chen, Liang Wang, Nan Yang, Yutao Zhu, Ziliang Zhao

Generating Long-form Story Using Dynamic Hierarchical Outlining with Memory-Enhancement

Qianyue Wang, Jinwu Hu, Zhengping Li, Yufeng Wang, Daiyuan Li

Embedding derived animacy rankings offer insights into the sources of grammatical animacy

Vivian G. Li

AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction

Jie Feng, Yuwei Du, Jie Zhao, Yong Li

Balancing Forget Quality and Model Utility: A Reverse KL-Divergence Knowledge Distillation Approach for Better Unlearning in LLMs

Bichen Wang, Yuzhe Zi, Yixin Sun, Yanyan Zhao, Bing Qin

Evaluating Morphological Compositional Generalization in Large Language Models

Mete Ismayilzada, Defne Circi, Jonne Sälevä, Hale Sirin, Abdullatif Köksal

Where is the answer? An empirical study of positional bias for parametric knowledge extraction in language model

Kuniaki Saito, Chen-Yu Lee, Kihyuk Sohn, Yoshitaka Ushiku

Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI Tutors

Kaushal Kumar Maurya, Kv Aditya Srivatsa, Kseniia Petukhova, Ekaterina Kochmar

Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering

Yeonjun In, Sungchul Kim, Ryan A. Rossi, Mehrab Tanjim, Tong Yu

Generating Complex Question Decompositions in the Face of Distribution Shifts

Kelvin Han, Claire Gardent

AnaScore: Understanding Semantic Parallelism in Proportional Analogies

Liyan Wang, Haotong Wang, Yves Lepage

Self-Harmonized Chain of Thought

Ziqi Jin, Wei Lu

Reversed Attention: On The Gradient Descent Of Attention Layers In GPT

Shahar Katz, Lior Wolf

GloCOM: A Short Text Neural Topic Model via Global Clustering Context

Quang Duc Nguyen, Tung Nguyen, Duc Anh Nguyen, Linh Ngo Van, Sang Dinh

Unmasking Implicit Bias: Evaluating Persona-Prompted LLM Responses in Power-Disparate Social Scenarios

Bryan Chen Zhengyu Tan, Roy Ka-Wei Lee

ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning

Vy Vo, Lizhen Qu, Tao Feng, Yuncheng Hua, Xiaoxi Kang

LLM-Human Pipeline for Cultural Grounding of Conversations

Rajkumar Pujari, Dan Goldwasser

MoCE: Adaptive Mixture of Contextualization Experts for Byte-based Neural Machine Translation

Langlin Huang, Mengyu Bu, Yang Feng

Babysit A Language Model From Scratch: Interactive Language Learning by Trials and Demonstrations

Ziqiao Ma, Zekun Wang, Joyce Chai

Decoding Hate: Exploring Language Models’ Reactions to Hate Speech

Paloma Piot, Javier Parapar

EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Yongliang Shen

JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation

Shota Onohara, Atsuyuki Miyai, Yuki Imajuku, Kazuki Egashira, Jeonghun Baek

SeqAR: Jailbreak LLMs with Sequential Auto-Generated Characters

yan yang, Zeguan Xiao, Xin Lu, Hongru Wang, Xuetao Wei

LLM-Based Explicit Models of Opponents for Multi-Agent Games

XiaoPeng Yu, Wanpeng Zhang, Zongqing Lu

CFinBench: A Comprehensive Chinese Financial Benchmark for Large Language Models

Ying Nie, Binwei Yan, Tianyu Guo, Hao Liu, Haoyu Wang

Hybrid Graphs for Table-and-Text based Question Answering using LLMs

Ankush Agarwal, Chaitanya Devaguptapu, Ganesh S

Learning to Summarize from LLM-generated Feedback

Hwanjun Song, Taewon Yun, Yuho Lee, Jihwan Oh, Gihun Lee

Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data

Jonas Golde, Patrick Haller, Max Ploner, Fabio Barth, Nicolaas Jedema

SELFGOAL: Your Language Agents Already Know How to Achieve High-level Goals

Ruihan Yang, Jiangjie Chen, Yikai Zhang, Siyu Yuan, Aili Chen

Does Liking Yellow Imply Driving a School Bus? Semantic Leakage in Language Models

Hila Gonen, Terra Blevins, Alisa Liu, Luke Zettlemoyer, Noah A. Smith

Fine-grained Fallacy Detection with Human Label Variation

Alan Ramponi, Agnese Daffara, Sara Tonelli

Parameter-free and Accessible Prompt Learning to Enhance Adversarial Robustness for Pre-trained Vision-Language Models

Xingran Zhou, Kun Yang, Changtao Miao, Bingyu Hu, Zhuoer Xu

Conformalized Answer Set Prediction for Knowledge Graph Embedding

Yuqicheng Zhu, Nico Potyka, Jiarong Pan, Bo Xiong, Yunjie He

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

James Seale Smith, Chi-Heng Lin, Shikhar Tuli, Haris Jeelani, Shangqian Gao

Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward

Ruohong Zhang, Liangke Gui, Zhiqing Sun, Yihao Feng, Keyang Xu

On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs

Nitay Calderon, Roi Reichart

Fact-Aware Multimodal Retrieval Augmentation for Accurate Medical Radiology Report Generation

Liwen Sun, James Jialun Zhao, Wenjing Han, Chenyan Xiong