ACL 2026

2,650 papers

Disentangling Reasoning Logic to Resolve Explicit Knowledge Conflicts

Xianda Zheng, Zijian Huang, Meng-Fen Chiang, Jiamou Liu, Yuan Fang

MM-StanceDet: Retrieval-Augmented Multi-modal Multi-agent Stance Detection

Weihai Lu, Zhejun Zhao, Yanshu Li, Huan He

CITE: Benchmarking Heterogeneous Text-Attributed Graph Models

Chenghao Zhang, Qingqing Long, Ludi Wang, Wenjuan Cui, Jianjun Yu

CogToM: A Comprehensive Theory of Mind Benchmark inspired by Human Cognition for Large Language Models

Haibo Tong, Zeyang Yue, Feifei Zhao, Erliang Lin, Lu Jia

A Survey of Inductive Reasoning for Large Language Models

Kedi Chen, Dezhao Ruan, Yuhao Dan, Yaoting Wang, Siyu Yan

MIND Your Reasoning: A Meta-Cognitive Intuitive-Reflective Network for Dual-Reasoning in Multimodal Stance Detection

Bingbing Wang, Zhengda Jin, Bin Liang, Wenjie Li, Jing Li

RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation

Sunzhu Li, Jiale Zhao, Huimin Ren, Zhenlin Wei, Yang Zhou

Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning

Zelin Tan, Hejia Geng, Xiaohang Yu, Mulei Zhang, Guancheng Wan

How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities

Ziwen Xu, Kewei Xu, Haoming Xu, Haiwen Hong, Longtao Huang

TAMAS: Benchmarking Adversarial Risks in Multi-Agent LLM Systems

Ishan Kavathekar, Hemang Jain, Ameya Rathod, Ponnurangam Kumaraguru, Tanuja Ganu

GiLT: Augmenting Transformer Language Models with Dependency Graphs

Tianyu Huang, Yida Zhao, Chuyan Zhou, Kewei Tu

Verify Before You Commit: Towards Faithful Reasoning in LLM Agents via Self-Auditing

Wenhao Yuan, Chenchen Lin, Jian Chen, Jinfeng Xu, Xuehe Wang

RubricBench: Aligning Model-Generated Rubrics with Human Standards

Junyi Zhou, Qiyuan Zhang, Yufei Wang, Fuyuan Lyu, Yidong Ming

Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts

Haolei Xu, Haiwen Hong, Hongxing Li, Rui Zhou, Yang Zhang

SwissGov-RSD: A Human-annotated, Cross-lingual Benchmark for Token-level Recognition of Semantic Differences Between Related Documents

Michelle Wastl, Jannis Vamvas, Rico Sennrich

Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective

Zhezheng Hao, Hong Wang, Haoyang Liu, Jian Luo, Jiarui Yu

Compositional Steering of Large Language Models with Steering Tokens

Gorjan Radevski, Kiril Gashteovski, Giwon Hong, Carolin Lawrence, Goran Glavaš

GASE: Graph-Aware Semantic Embedding Learning with Frozen LLMs for Text-Attributed Graphs

Mingqian Ding, Jianjun Li, Wenqi Yang, Zhibo Zhang, Yushen Fang

Can AI-Generated Persuasion Be Detected? Persuaficial Benchmark and AI vs. Human Linguistic Differences

Arkadiusz Modzelewski, Paweł Golik, Anna Kołos, Giovanni Da San Martino

ReCreate: Reasoning and Creating Domain Agents Driven by Experience

Zhezheng Hao, Hong Wang, Jian Luo, Jianqing Zhang, Yuyan Zhou

MirrorCAPTCHA: Wild CAPTCHA, Wild Distribution, Wild Web-based Platform Meet Multimodal LLM Agents

Xiangyu Wu, Yuwei Hu, Tianyu Cui, Yueying Tian, Qing-Guo Chen

Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models

Tobias Schreieder, Tim Schopf, Michael Färber

An Experimental Study on the Influence of Culture on Cross-Lingual Sentiment Transfer

Ahao Liu, Haitong Yang, Wang Chuanrong

SpeechMedAssist: Efficiently and Effectively Adapting Speech Language Models for Medical Consultation

Sirry Chen, Jieyi Wang, Wei Chen, zhongyu wei

UMPIRE: Unveiling LLM-generated Posts via Redundant Expressions

Xiaoquan Yi, Haixing Wu, Haozhao Wang, Yichen Li, Yuhua Li

Evaluation Pitfalls and Challenges in Multimedia Event Extraction

Philipp Seeberger, Steffen Freisinger, Tobias Bocklet, Korbinian Riedhammer

OSCBench: Benchmarking Object State Change in Text-to-Video Generation

Xianjing Han, Bin Zhu, Shiqi Hu, Franklin Mingzhe Li, Patrick Carrington

The “Knowledge–Behavior Gap” in Cultural Taboo Safety of Large Language Models

Ying He, Sihang Jiang, Xingzhou Chen, Zhouhong Gu, Yiwei Gu

QuantumQA: Enhancing Scientific Reasoning via Physics-Consistent Dataset and Verification-Aware Reinforcement Learning

Songxin Qu, Tai-Ping Sun, Yun-Jie Wang, Huan-Yu Liu, Cheng Xue

Mobile-R1: Towards Interactive Capability for VLM-Based Mobile Agent via Systematic Training

Jihao Gu, Qihang Ai, Yingyao Wang, Pi Bu, Jingxuan Xing

Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language Models

Arya Shah, Deepali Mishra, Chaklam Silpasuwanchai

EA-Agent: A Structured Multi-Step Reasoning Agent for Entity Alignment

Yixuan Nan, Xixun Lin, Yanmin Shang, Ge Zhang, Zheng Fang

Do LLMs Encode Functional Importance of Reasoning Tokens ?

Janvijay Singh, Dilek Hakkani-Tur

HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment

Zhanyu Liu, Qingguo Hu, Ante Wang, Chenqing Liu, Zhishang Xiang

Inverting the Shield: Systematically Generating Safety Tests from Policy Specifications

Xiaoyue Lu, XIANGLIN YANG, Haijun Liu, Jiahao Liu, Kuntai Cai

CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical Reasoning

Eric Onyame, Akash Ghosh, Subhadip Baidya, Sriparna Saha, Xiuying Chen

Language Models Learn Universal Representations of Numbers and Here’s Why You Should Care

Michal Štefánik, Timothee Mickus, Marek Kadlcik, Bertram Højer, Michal Spiegel

ArgGenBench: Benchmarking the Complex Controlled Argument Generation Capability of Large Language Models

Bojun Jin, Jianzhu Bao, Yang Sun, Yice Zhang, Ruifeng Xu

Expect the Unexpected? Testing the Surprisal of Salient Entities

Jessica Lin, Amir Zeldes

Evaluating Answer Leakage Robustness of LLM Tutors against Adversarial Student Attacks

Jin Zhao, Marta Knežević, Tanja Käser

CPR-RAG: Clinical Prior-Regularized Retrieval for Anatomy-Aware 3D CT Report Generation

Sungkyu Yang, Kang-Min Kim, Mansu Kim

To Judge or Not to Judge: Can Large Language Models Leverage the Dispute Focus in Legal Judgment?

Luoming Hu, Liang Yang, Jingjie Zeng, Zijie Xing

Beyond the Panorama: Training-Free Hierarchical Perception-Reasoning for Fine-Grained Vision in MLLMs

Xiaoyang Yi, Jing Chen, Li Peng, Yuru Bao, Jian Zhang

Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks

Miaomiao Li, Hao Chen, Yang Wang, Tingyuan Zhu, Weijia Zhang

Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection

Junjun Pan, Yixin Liu, Rui Miao, Kaize Ding, Yu Zheng

Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning

Yuhang Wu, Xiangqing Shen, Fanfan Wang, Cangqi Zhou, Zhen Wu

Generating Attribution Reports for Manipulated Facial Images: A Dataset and Baseline

Jingchun Lian, Lingyu Liu, Yaxiong Wang, Yujiao Wu, Lianwei Wu

Evidence-Augmented Policy Optimization with Reward Co-Evolution for Long-Context Reasoning

Xin Guan, Zijian Li, Shen Huang, Pengjun Xie, Jingren Zhou

MavenCoder: Competitive Code Generation via Model Adaptive Planning Strategies and Multi-Perspective Verification Enhancement

ZhenChun Xu, Yi Cai, Dajun Zheng, Li Yuan, Mengchen Zhao

Understanding Emergent Misalignment via Feature Superposition Geometry

Gouki Minegishi, Hiroki Furuta, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

Segment, Embed, and Align: A Universal Recipe for Aligning Subtitles to Signing

Zifan Jiang, Youngjoon Jang, Liliane Momeni, Gül Varol, Sarah Ebling

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation

Yongshi Ye, Biao Fu, Chongxuan Huang, Yidong Chen, Xiaodong Shi

End-to-End Optimization of LLM-Driven Multi-Agent Search Systems via Heterogeneous-Group-Based Reinforcement Learning

Guanzhong Chen, Shaoxiong Yang, CHAO LI, Wei Liu, Jian Luan

Compressing LLM Knowledge into Graph Representations for Text-attributed Graphs Learning

Runhuai Chen, Dian Shen, Dandan Zhang, Kaihong Huang, Linghui Meng

Beyond Explicit Refusals: Soft-Failure Attacks on Retrieval-Augmented Generation

Wentao Zhang, Yan Zhuang, ZhuHang Zheng, Mingfei Zhang, Jiawen Deng

Towards Interpretable Tabular Reasoning: Enhancing LLM Reasoning on Tabular Data with Pre-Constructed Logic Graph

Lirong Gao, Zewei Yu, Zhongrui Yin, Qi Zhang, Yuke Zhu

PersonalityDBench: A Dataset for Personality Disorders - from Modeling to Controlled Generation

Federico Ravenda, Seyed Ali Bahrainian, Daniele Montagnani, Antonietta Mira, Andrea Raballo

KnowMe-Bench: Benchmarking Person Understanding for Lifelong Digital Companions

Tingyu Wu, Zhisheng Chen, Ziyan Weng, Shuhe Wang, Shuo Zhang

Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models

Chao Xue, Yao Wang, Mengqiao Liu, Di Liang, Xingsheng Han

Beyond Atomic Characters: Glyph-Aware Sub-character Alignment for Low-Resource Multilingual OCR

Mengxiao Zhu, Haixu Chen, Jiu Sha, Jie Liu, Ge Shi

From 1,000,000 Users to Every User: Scaling Up Personalized Preference for User-level Alignment

Jia-Nan Li, Jian Guan, Songhao Wu, Wei Wu, Rui Yan

Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees

Zheng Zhang, Qi Liu, Siyuan Liang, Ning Li, Zirui Hu

Communicating in Emergent Language with an Induced Morphological Phrasebook

Brendon Boldt, David R. Mortensen

Reusable Experiences: Latent Routing and Modular Composition in LLMs

Shuai Ling, Lizi Liao, Dongmei Jiang, Weili Guan

AgentSlimming: Towards Efficient and Cost-Aware Multi-Agent Systems

Yulang Chen, Haoxuan Peng, Jinyan Liu, Zichen Wen, Dongrui Liu

Think Better, Not Longer: Token-Level Marginal Utility for Efficient Reasoning in Large Reasoning Models

Jiawei Li, Yang Gao, Huashan Sun, Chong Feng

SSA: Improving Performance With a Better Scoring Function

Omar Naim, Swarnadeep Bhar, Jérôme Bolte, Nicholas Asher

Spectral Characterization and Mitigation of Sequential Knowledge Editing Collapse

Chi Zhang, Mengqi Zhang, Xiaotian Ye, Runxi Cheng, Zisheng Zhou

Compatibility-Aware Dynamic Fine-Tuning for Large Language Models

Yucheng Zhou, Junwei Sheng, Qianning Wang, Jianbing Shen

One Cognitive Loop Is Enough: SODA unlocks Pure-Text Spatial Reasoning in Large Language Models

Shunwen Bai, Jiahuan Zhang, Haoran Huang, Yurun Wang, Jiale Liu

From Language to Driving: A Dual-Loop SLM-Enhanced Framework for Multi-Planner Scheduling via a Domain-Specific Language

Jiawei Liu, Xun Gong, Muli Yang, Xingrui Yu, Fen Fang

Embracing Anisotropy: Turning Massive Activations into Interpretable Control Knobs for Large Language Models

Youngji Roh, Hyunjin Cho, Jaehyung Kim

Less Languages, Less Tokens: An Efficient Unified Logic Cross-lingual Chain-of-Thought Reasoning Framework

Chenyuan Zhang, Qiguang Chen, Xie Chen, Zhuotao Tian, Bowen Xing

Can LLMs Act as Historians? Evaluating Historical Research Capabilities of LLMs via the Chinese Imperial Examination

Lirong Gao, Zeqing Wang, Yuyan Cai, Jiayi Deng, Yanmei Gu

From Weights to Activations: Is Steering the Next Frontier of Adaptation?

Simon Ostermann, Daniil Gurgurov, Tanja Baeumel, Michael A. Hedderich, Sebastian Lapuschkin

CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-Evolution

Teng Pan, Yuchen Yan, Zixuan Wang, Ruiqing Zhang, Guiyang Hou

MPR-GUI: Benchmarking and Enhancing Multilingual Perception and Reasoning in GUI Agents

Ruihan Chen, Qiming Li, Xiaocheng Feng, Weihong Zhong, Xiaoliang Yang

Understanding and Mitigating Political Stance Cross-topic Generalization in Large Language Models

Jiayi Zhang, Shu Yang, Junchao Wu, Derek F. Wong, Di Wang

How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP

Kushal Tatariya, Artur Kulmizev, Wessel Poelman, Esther Ploeger, Marcel Bollmann

HiChunk: Evaluating and Enhancing Retrieval Augmented Generation with Hierarchical Chunking

Wensheng Lu, Keyu Chen, Zhifeng Shen, Ruizhi Qiao, Xing Sun

LongTutor: Benchmarking Large Language Models for Long-term Personalized Tutoring

Ning Li, Zheng Zhang, Zhenya Huang, Rui Li, Yi Zhan

Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization

Tian Xueyun, Minghua Ma, Bingbing Xu, Nuoyan Lyu, Wei Li

Calibrated Speculative Decoding: Frequency-Guided Candidate Selection for Efficient Inference

Zhouxuwen, Fangxin Liu, Chao Wang, Xiao Zheng, Hao Zheng

Learning from Near-Misses: Error-Aware Contrastive Few-Shot Learning for NL2Formula

Zhihao Shuai, Yiyun Chen, Maolin Ma, Yutong Chen, Hanjia Qiu

Culture-Aware Machine Translation in Large Language Models: Benchmarking and Investigation

Zekun Yuan, Yangfan Ye, Xiaocheng Feng, Baohang Li, Qichen Hong

TOWER+: Bridging Generality and Translation Specialization in Multilingual LLMs

Ricardo Rei, Nuno M Guerreiro, José Pombal, João Alves, Amin Farajian

LLMs (Almost) Never Abstain Under Medical Uncertainty

Alessio Cocchieri, Luca Ragazzi, Giuseppe Tagliavini, Gianluca Moro

GLIER: Generative Legal Inference and Evidence Ranking for Legal Case Retrieval

Minghan Li, Tianrui Lv, Chao Zhang, Guodong Zhou

DEFT: Demystifying VLN Failures via a Unified Dual-View Explainability Framework for LLM-based Agents

Yawen Wang, Yihan Dai, Jianming Chen, Junjie Wang, Qing Wang

Modal Dependency Parsing as Structured Prediction over Source-Cue Scope

Jayeol Chun, Nianwen Xue

Temporal Evidence Chain for Temporal Knowledge Graph Question Answering with Large Language Models

Shihao Liu, Xiaofei Zhou, Bo Wang, Geyuan Zhang

Detecting What Queries Seek: Steering LLM Safety with FFN Output Activation Monitoring

Xiaohao Luo, Ying Wei, Rui Zhao

EGSS: Entropy-guided Stepwise Scaling for Reliable Software Engineering

Chenhui Mao, Yuanting Lei, Zhixiang Wei, Ming Liang, Zhixiang Wang

CLARity: Reasoning Consistency Alone Can Teach Reinforced Experts

Jiuheng Lin, Cong Jiang, Zirui Wu, Jiarui Sun, Yansong Feng

Whose Facts Win? LLM Source Preferences under Knowledge Conflicts

Jakob Schuster, Vagrant Gautam, Katja Markert

Zero-shot Jianzi Recognition as Structured Visual Information Extraction in Open Compositional Symbolic Systems

Zehan Li, Fu Zhang, Zhijun Liu, Jingwei Cheng

Mitigating Structural Knowledge Collapse in Domain-Specific LLMs via Morpheme-Aware KV-Aggregation

Yuxuan Si, Zheqi Lv, Chengxi Zang, Zhengyu Chen, Fei Wu

SILO-BENCH: A Scalable Environment for Evaluating Distributed Coordination in Multi-Agent LLM Systems

Yuzhe Zhang, Feiran Liu, Yi Shan, Xinyi Huang, Xin Yang

LLMs as Knowledge Graph Refiners: Mitigating Factual Inconsistencies in Generative Knowledge Extraction

Donghyun Kim, Hyeongjun Yang, Seokju Hwang, Kyong-Ho Lee, Chanhee Lee

Think before Go: Hierarchical Reasoning for Image-goal Navigation

Pengna Li, Kangyi Wu, Shaoqing Xu, Fang Li, Lin Zhao