EMNLP 2025

4,182 papers

Logic-Thinker: Teaching Large Language Models to Think more Logically.

Chengyao Wen, Qiang Cheng, Shaofei Wang, Zhizhen Liu, Deng Zhao

StatsChartMWP: A Dataset for Evaluating Multimodal Mathematical Reasoning Abilities on Math Word Problems with Statistical Charts

Dan Zhu, Tianqiao Liu, Zitao Liu

Graph-Reward-SQL: Execution-Free Reinforcement Learning for Text-to-SQL via Graph Matching and Stepwise Reward

Han Weng, Puzhen Wu, Cui Longjie, Yi Zhan, Boyi Liu

DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment

Wei Huang, Anda Cheng, Zhao Zhang, Yinggui Wang

Exploiting Prompt-induced Confidence for Black-Box Attacks on LLMs

Meina Chen, Yihong Tang, Kehai Chen

Training LLMs for Optimization Modeling via Iterative Data Synthesis and Structured Validation

Yang Wu, Yifan Zhang, Yurong Wu, Yuran Wang, Junkai Zhang

SwiftPrune: Hessian-Free Weight Pruning for Large Language Models

Yuhan Kang, Yang Shi, Mei Wen, Jun He, Jianchao Yang

Two Challenges, One Solution: Robust Multimodal Learning through Dynamic Modality Recognition and Enhancement

Lanxin Bi, Yunqi Zhang, Luyi Wang, Yake Niu, Hui Zhao

LimaCost: Data Valuation for Instruction Tuning of Large Language Models

Hyeonseok Moon, Jaehyung Seo, Seonmin Koo, JINSUNG KIM, Young-kyoung Ham

AutoSpec: An Agentic Framework for Automatically Drafting Patent Specification

Ryan Shea, Zhou Yu

MultiPL-MoE: Multi-Programming-Lingual Extension of Large Language Models through Hybrid Mixture-of-Experts

Qing Wang, Xue Han, Jiahui Wang, Lehao Xing, Qian Hu

Explainable Text Classification with LLMs: Enhancing Performance through Dialectical Prompting and Explanation-Guided Training

Huaming Du, Lei Yuan, Cancan Feng, Guisong Liu, Gang Kou

Comprehensive Evaluation on Lexical Normalization: Boundary-Aware Approaches for Unsegmented Languages

Shohei Higashiyama, Masao Utiyama

Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions

Yaozu Wu, Dongyuan Li, yankai Chen, Renhe Jiang, Henry Peng Zou

Thunder-DeID: Accurate and Efficient De-identification Framework for Korean Court Judgments

Sungeun Hahm, Heejin Kim, Gyuseong Lee, Hyunji M. Park, Jaejin Lee

Idola Tribus of AI: Large Language Models tend to perceive order where none exists

Shin-nosuke Ishikawa, Masato Todo, Taiki Ogihara, Hirotsugu Ohba

Text Anomaly Detection with Simplified Isolation Kernel

Yang Cao, Sikun Yang, Yujiu Yang, Lianyong Qi, Ming Liu

Agentic Medical Knowledge Graphs Enhance Medical Question Answering: Bridging the Gap Between LLMs and Evolving Medical Knowledge

Mohammad Reza Rezaei, Reza Saadati Fard, Jayson Lee Parker, Rahul G Krishnan, Milad Lankarany

ForestCast: Open-Ended Event Forecasting with Semantic News Forest

Zi Yu, Shaoxiang Wang, Guozheng Li, Yu Zhang, Chi Harold Liu

Inductive Reasoning on Few-Shot Knowledge Graphs with Task-Aware Language Models

Cheng Yan, Feng Zhao, Ruilin Zhao, Hong Zhang

LoRaDA: Low-Rank Direct Attention Adaptation for Efficient LLM Fine-tuning

Zhangming Li, Qinghao Hu, Yiqun Chen, Peisong Wang, Yifan Zhang

PsyScam: A Benchmark for Psychological Techniques in Real-World Scams

Shang Ma, Tianyi Ma, Jiahao Liu, Wei Song, Zhenkai Liang

LLM-Based Web Data Collection for Research Dataset Creation

Thomas Berkane, Marie-Laure Charpignon, Maimuna S. Majumder

What if Othello-Playing Language Models Could See?

Xinyi Chen, Yifei Yuan, Jiaang Li, Serge Belongie, Maarten de Rijke

MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search

Yunhai Hu, Yilun Zhao, Chen Zhao, Arman Cohan

Schema Generation for Large Knowledge Graphs Using Large Language Models

Bohui Zhang, Yuan He, Lydia Pintscher, Albert Meroño-Peñuela, Elena Simperl

Multi-token Mask-filling and Implicit Discourse Relations

Meinan Liu, Yunfang Dong, Xixian Liao, Bonnie Webber

LSRL: Process-Supervised GRPO on Latent Recurrent States Improves Mathematical Reasoning

Hangliang Ren

Speculative Decoding for Multi-Sample Inference

Yiwei Li, Jiayi Shi, Shaoxiong Feng, Peiwen Yuan, Xinglin Wang

InfAL: Inference Time Adversarial Learning for Improving Research Ideation

Sikun Guo, Amir Hassan Shariatmadari, Peng Wang, Albert Huang, Aidong Zhang

Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models

Yuchun Fan, Yilin Wang, Yongyu Mu, Lei Huang, Bei Li

Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models

Pushkar Shukla, Aditya Chinchure, Emily Diana, Alexander Tolbert, Kartik Hosanagar

Dialectal Toxicity Detection: Evaluating LLM-as-a-Judge Consistency Across Language Varieties

Fahim Faisal, Md Mushfiqur Rahman, Antonios Anastasopoulos

FACTCHECKMATE: Preemptively Detecting and Mitigating Hallucinations in LMs

Deema Alnuhait, Neeraja Kirtane, Muhammad Khalifa, Hao Peng

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization

Chuyuan Li, Austin Xu, Shafiq Joty, Giuseppe Carenini

Stress-Testing the Reasoning Competence of Language Models With Formal Proofs

Konstantine Arkoudas, Serafim Batzoglou

Rethinking LLM Uncertainty: A Multi-Agent Approach to Estimating Black-Box Model Uncertainty

Yu Feng, Phu Mon Htut, Zheng Qi, Wei Xiao, Manuel Mager

Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification

Yifei Yuan, Jiatong Li, Weijia Zhang, Mohammad Aliannejadi, Evangelos Kanoulas

ClaimGen-CN: A Large-scale Chinese Dataset for Legal Claim Generation

Siying Zhou, Yiquan Wu, Hui Chen, Xueyu Hu, Kun Kuang

FESTA: Functionally Equivalent Sampling for Trust Assessment of Multimodal LLMs

Debarpan Bhattacharya, Apoorva Kulkarni, Sriram Ganapathy

MASSV: Multimodal Adaptation and Self-Data Distillation for Speculative Decoding of Vision-Language Models

Mugilan Ganesan, Shane Segal, Ankur Aggarwal, Nish Sinnadurai, Sean Lie

MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMs

Zaid Alyafeai, Maged S. Al-shaibani, Bernard Ghanem

Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-the-fly

Lance Ying, Ryan Truong, Katherine M. Collins, Cedegao E. Zhang, Megan Wei

MoRoVoc: A Large Dataset for Geographical Variation Identification of the Spoken Romanian Language

Andrei-Marius Avram, Bănescu Ema-Ioana, Anda-Teodora Robea, Dumitru-Clementin Cercel, Mihaela-Claudia Cercel

Disentangling Language Understanding and Reasoning Structures in Cross-lingual Chain-of-Thought Prompting

Khanh-Tung Tran, Nguyet-Hang Vu, Barry O’Sullivan, Hoang D. Nguyen

AMIA: Automatic Masking and Joint Intention Analysis Makes LVLMs Robust Jailbreak Defenders

Yuqi Zhang, Yuchun Miao, Zuchao Li, Liang Ding

Mitigating Interviewer Bias in Multimodal Depression Detection: An Approach with Adversarial Learning and Contextual Positional Encoding

Enshi Zhang, Christian Poellabauer

REGen: A Reliable Evaluation Framework for Generative Event Argument Extraction

Omar Sharif, Joseph Gatto, Madhusudan Basak, Sarah Masud Preum

A Survey of RAG-Reasoning Systems in Large Language Models

Yangning Li, Weizhi Zhang, Yuyao Yang, Wei-Chieh Huang, Yaozu Wu

polyBART: A Chemical Linguist for Polymer Property Prediction and Generative Design

Anagha Savit, Harikrishna Sahu, Shivank S. Shukla, Wei Xiong, Rampi Ramprasad

CLaw: Benchmarking Chinese Legal Knowledge in Large Language Models - A Fine-grained Corpus and Reasoning Analysis

Xinzhe Xu, Liang Zhao, Hongshen Xu, Chenchenc

Revisiting Pruning vs Quantization for Small Language Models

Zihan Zhou, Simon Kurz, Zhixue Zhao

Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge

Yan-Lun Chen, Yi-Ru Wei, Chia-Yi Hsu, Chia-Mu Yu, Chun-Ying Huang

Curr-ReFT: Overcoming Training Bottlenecks in Small-scale Vision-Language Models via Curriculum Reinforcement Finetuning

Huilin Deng, Ding Zou, Xinghao Zhao, Rui Ma, Yanming Guo

ReAlign: Structured Revision for Small Language Model Alignment

Ruijun Chen, Jiajian Guo, Hongzhan Chen, Fanqi Wan, Qifan Wang

Semantic Geometry of Sentence Embeddings

Matthieu Tehenan

MPTA: MultiTask Personalization Assessment

Matthieu Tehenan, Eric Chamoun, Andreas Vlachos

Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models

Boyu Jia, Junzhe Zhang, Huixuan Zhang, Xiaojun Wan

LongTableBench: Benchmarking Long-Context Table Reasoning across Real-World Formats and Domains

Liyao Li, Jiaming Tian, Hao Chen, Wentao Ye, Chao Ye

Time to Revisit Exact Match

Auss Abbood, Zaiqiao Meng, Nigel Collier

AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration

Chunhao Tian, Yutong Wang, Xuebo Liu, Zhexuan Wang, Liang Ding

Do What? Teaching Vision-Language-Action Models to Reject the Impossible

Wen-Han Hsieh, Elvis Hsieh, Dantong Niu, Trevor Darrell, Roei Herzig

Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique

Tej Deep Pala, Vernon Toh, Rishabh Bhardwaj, Soujanya Poria

SuPreME: A Supervised Pre-training Framework for Multimodal ECG Representation Learning

Mingsheng Cai, Jiuming Jiang, Wenhao Huang, Che Liu, Rossella Arcucci

Enhancing Model Privacy in Federated Learning with Random Masking and Quantization

Zhibo Xu, Zhu JianHao, Jingwen Xu, Changze Lv, Zhenghua Wang

From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems

Zekun Zhou, Xiaocheng Feng, Lei Huang, Xiachong Feng, Ziyun Song

Let Them Down Easy! Contextual Effects of LLM Guardrails on User Perceptions and Preferences

Mingqian Zheng, Wenjia Hu, Patrick Zhao, Motahhare Eslami, Jena D. Hwang

Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning

Yangning Li, Tingwei Lu, Yinghui Li, yankai Chen, Wei-Chieh Huang

RAISE: Reinforced Adaptive Instruction Selection For Large Language Models

Qingsong Lv, Yangning Li, Zihua Lan, Zishan Xu, Jiwei Tang

Unraveling Misinformation Propagation in LLM Reasoning

Yiyang Feng, Yichen Wang, Shaobo Cui, Boi Faltings, Mina Lee

When Models Lie, We Learn: Multilingual Span-Level Hallucination Detection with PsiloQA

Elisei Rykov, Kseniia Petrushina, Maksim Savkin, Valerii Olisov, Artem Vazhentsev

Attribution and Application of Multiple Neurons in Multimodal Large Language Models

Feiyu Wang, Ziran Zhao, Dong Yu, Pengyuan Liu

CaTER: A Framework for Context-aware Topology Entity Retrieval Contrastive Learning in End-to-End Task-Oriented Dialogue Systems

Di Wu Hebeu, Zhizhi Yu

FrameEOL: Semantic Frame Induction using Causal Language Models

Chihiro Yano, Kosuke Yamada, Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda

Benchmarking for Domain-Specific LLMs: A Case Study on Academia and Beyond

Rubing Chen, Jiaxin Wu, Jian Wang, Xulu Zhang, Wenqi Fan

Efficiently Selecting Response Generation Strategies for Synthetic Data Construction by Self-Aligned Perplexity

Xuan Ren, Qi Chen, Lingqiao Liu

A Survey on LLM-powered Agents for Recommender Systems

Qiyao Peng, Hongtao Liu, Hua Huang, Jian Yang, Qing Yang

MT-Mol: Multi Agent System with Tool-based Reasoning for Molecular Optimization

Hyomin Kim, Yunhui Jang, Sungsoo Ahn

Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization

Shuyang Hao, Yiwei Wang, Bryan Hooi, Jun Liu, Muhao Chen

A Zero-Shot Neuro-Symbolic Approach for Complex Knowledge Graph Question Answering

Prerna Agarwal, Srikanta Bedathur

Structure Trumps Size: Rethinking Data Quality for LLM Reasoning

Hu Xu, Zeyan Li, Rui Wang, Jianfeng Xu

Leveraging High-Resource English Corpora for Cross-lingual Domain Adaptation in Low-Resource Japanese Medicine via Continued Pre-training

Kazuma Kobayashi, Zhen Wan, Fei Cheng, Yuma Tsuta, Xin Zhao

FaMTEB: Massive Text Embedding Benchmark in Persian Language

Erfan Zinvandi, Morteza Alikhani, Mehran Sarmadi, Zahra Pourbahman, Sepehr Arvin

SGCD: Subtask-Guided Causal-Debiasing Framework for Robust Cross-Utterance Sentiment Quadruple Extraction in Dialogues

Xiang Li, Keyu Yao, Gang Shen

Evaluating Large Language Models for Cross-Lingual Retrieval

Longfei Zuo, Pingjun Hong, Oliver Kraus, Barbara Plank, Robert Litschko

MATCH: Task-Driven Code Evaluation through Contrastive Learning

Marah Ghoummaid, Vladimir Tchuiev, Ofek Glick, Michal Moshkovitz, Dotan Di Castro

An Improved, Strong Baseline for Pre-Trained Large Language Models as Task-Oriented Dialogue Systems

Sebastian Steindl, André Kestler, Ulrich Schäfer, Bernd Ludwig

How Sampling Affects the Detectability of Machine-written texts: A Comprehensive Study

Matthieu Dubois, François Yvon, Pablo Piantanida

Time to Talk: LLM Agents for Asynchronous Group Communication in Mafia Games

Niv Eckhaus, Uri Berger, Gabriel Stanovsky

Acquiescence Bias in Large Language Models

Daniel Braun

SkewRoute: Training-Free LLM Routing for Knowledge Graph Retrieval-Augmented Generation via Score Skewness of Retrieved Context

Hairu Wang, Yuan Feng, Yukun Cao, Xike Xie, S Kevin Zhou

On the Effectiveness of Prompt-Moderated LLMs for Math Tutoring at the Tertiary Level

Sebastian Steindl, Fabian Brunner, Nada Sissouno, Dominik Schwagerl, Florian Schöler-Niewiera

Can you SPLICE it together? A Human Curated Benchmark for Probing Visual Reasoning in VLMs

Mohamad Ballout, Okajevo Wilfred, Seyedalireza Yaghoubi, Nohayr Muhammad Abdelmoneim, Julius Mayer

Are Economists Always More Introverted? Analyzing Consistency in Persona-Assigned LLMs

Manon Reusens, Bart Baesens, David Jurgens

TF-Mamba: Text-enhanced Fusion Mamba with Missing Modalities for Robust Multimodal Sentiment Analysis

Xiang Li, Xianfu Cheng, Dezhuang Miao, Xiaoming Zhang, Zhoujun Li

LongTail-Swap: benchmarking language models’ abilities on rare words

Robin Algayres, Charles-Éric Saint-James, Mahi Luthra, Jiayi Shen, Youssef Benchekroun

DS-MHP: Improving Chain-of-Thought through Dynamic Subgraph-Guided Multi-Hop Path

Yongqiang Liu, Qiyao Peng, Binrong Liu, Hongtao Liu, Xuewei Li

MultiClaimNet: A Massively Multilingual Dataset of Fact-Checked Claim Clusters

Rrubaa Panchendrarajan, Rubén Míguez Pérez, Arkaitz Zubiaga

MMATH: A Multilingual Benchmark for Mathematical Reasoning

Wenyang Luo, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen

NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings

Or Shachar, Uri Katz, Yoav Goldberg, Oren Glickman