ACL 2026

2,650 papers

LADR: Locality-Aware Dynamic Rescue for Efficient Text-to-Image Generation with Diffusion Large Language Models

Chenglin Wang, Yucheng Zhou, Shuang Chen, Tao Wang, Kai Zhang

Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache Compression

Liang Zhao, Xiaocheng Feng, Weihong Zhong, Lei Huang, Kun Zhu

DR-Arena: an Automated Evaluation Framework for Deep Research Agents

Yiwen Gao, Ruochen Zhao, Yang Deng, Wenxuan Zhang

Enabling Agents to Communicate Entirely in Latent Space

Zhuoyun Du, Runze Wang, Huiyu Bai, Zouying Cao, Xiaoyong Zhu

LiveCultureBench: a Multi-Agent, Multi-Cultural Benchmark for Large Language Models in Dynamic Social Simulations

Viet Thanh Pham, Lizhen Qu, Thuy-Trang Vu, Gholamreza Haffari, Dinh Phung

Inertia in Moral and Value Judgments of Large Language Models

Bruce W. Lee, Yeongheon Lee, Hyunsoo Cho

Attention Weights as an Indicator: Analyzing and Improving Document Utilization in Retrieval-Augmented Generation

Jing Jin, Yuhan Song, Wen Luo, Houfeng Wang

Harmonizing the Past, Present, and Future: A Null-Space Constrained Region-Specific Method for Continual Learning in LLMs

Jinhui Chen, Shizhu He, Xingchang Yang, Huanxuan Liao, Yequan Wang

Human or LLM as Standardized Patients? A Comparative Study in Medical Education

Bingquan Zhang, Xiaoxiao Liu, Yuchi Wang, Zhou Lei, Qianqian Xie

ReCoQA: A Benchmark for Tool-Augmented and Multi-Step Reasoning in Real Estate Question and Answering

Yindong Zhang, Wenmian Yang, Yiquan Zhang, Weijia Jia

Can LLMs Estimate Cognitive Complexity of Reading Comprehension Items?

Seonjeong Hwang, Hyounghun Kim, Gary Lee

CoCoNUTS: Concentrating on Content while Neglecting Uninformative Textual Styles for AI-Generated Peer Review Detection

Yihan Chen, Jiawei Chen, Guozhao Mo, Xuanang Chen, Ben He

The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis

Zihao Wei, Liang Pang, Jiahao Liu, Wenjie Shi, Jingcheng Deng

A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAM𝛥 Integration into Upcycled MoE

Hao Zhou, Tianhao Li, Zhijun Wang, Shuaijie She, Linjuan Wu

LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals

Lihao Sun, Hang Dong, Bo Qiao, Qingwei Lin, Dongmei Zhang

Beyond Self-Report: Bridging the Intention-Behavior Gap in Critical Thinking Assessment via Interpretable Multi-Agent System

Zekun Li, Jifan Yu, Haoxuan Li, Ye He, Daniel Zhang-li

Stability Implies Redundancy: Delta Attention Selective Halting for Efficient Long-Context Prefilling

yujie Chen, Tailai Chen, Yifeng Gao, Zoe Wanying He, Yijue Xu

DocLens: A Tool-Augmented Multi-Agent Framework for Long Visual Document Understanding

Dawei Zhu, Rui Meng, Jiefeng Chen, Sujian Li, Tomas Pfister

False Friends in the Shell: Unveiling the Emoticon Semantic Confusion in Large Language Models

Weipeng Jiang, Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen

Diffuse Thinking: Exploring Diffusion Language Models as Efficient Thought Proposers for Reasoning

Chenyang Shao, Sijian Ren, Fengli Xu, Yong Li

Extending First-Order Logic for Factual Reasoning over Knowledge Graphs

Yuanzhen Hao, Desheng Wu

Data Pollination: An Emergent Ecological Process Driving AI Population Evolution

Shufang Xie, Qizhi Pei, Ang Lv, Jingyang Hu, Lijun Wu

Benchmarking Egocentric Clinical Intent Understanding Capability for Medical Multimodal Large Language Models

Shaonan Liu, Guo Yu, Xiaoling Luo, Shiyi Zheng, Jie Liu

AIM-CoT: Active Information-driven Multimodal Chain-of-Thought for Vision-Language Reasoning

Xiping Li, Jianghong Ma

Think Parallax: Solving Multi-Hop Problems via Multi-View Knowledge-Graph-Based Retrieval-Augmented Generation

Jinliang Liu, Jiale Bai, Shaoning Zeng

MentalSeek-Dx: Towards Progressive Hypothetico-Deductive Reasoning for Real-world Psychiatric Diagnosis

Xiao Sun, Ymyang, Xinyi Jiang, Yu Tian, Junnan Zhu

SGVEF-LOOP: Coverage-Guided Progressive Topological Exploration and Fact-Grounded Metamorphic Evaluation for MCP Agents

Zenghao Liu, Yansong Zhang

Localized Low-Rank Adaptation within Clustered Parameter Subspaces

Jiahao Xiong, Yihe Liu, Xianming Hu, Hongbo Zhao, Nuoyi Chen

Personalizing LLMs with Binary Feedback: A Preference-Calibrated Optimization Framework

Xilai Ma, Liye Zhao, Weijun Yao, Haibing Di, Wenya Wang

ConfSpec: Efficient Step-Level Speculative Reasoning via Confidence-Gated Verification

Siran Liu, Zane Cao, Yongchao He

MPBoCo: Multimodal Prompt-based Boundary-enhanced Continual Framework for Joint Entity and Relation Extraction

Guanglu Sun, Xinyu Liu, Lili Liang, Yang Yu, Fei Lang

TrendFact: A Benchmark Towards Hotspot Perception in Automatic Fact-Checking

Xiaocheng Zhang, Xi Wang, Yifei Lu, Jianing Wang, Zhuangzhuang Ye

Inflated Excellence or True Performance? Rethinking Medical Diagnostic Benchmarks with Dynamic Evaluation

Xiangxu Zhang, Lei Li, Yanyun Zhou, Xiao Zhou, Yingying Zhang

Cross-Modal Coreference Alignment: Enabling Reliable Information Transfer in Omni-LLMs

Hongcheng Liu, Yuhao Wang, Zhe Chen, Pingjie Wang, Zhiyuan Zhu

TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety Alignment

Zhewen Tan, Wenhan Yu, Jianfeng Si, Tongxin Liu, Kaiqi Guan

Efficient Paths and Dense Rewards: Probabilistic Flow Reasoning for Large Language Models

Yan Liu, Feng Zhang, Zhanyu Ma, Jun Xu, Jiuchong Gao

Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training

Changhao Jiang, Ming Zhang, Yifei Cao, Junjie Ye, Xiaoran Fan

Cat-MoD: Accelerating Multimodal Alignment via Caption Token Guided Asymmetric Mixture-of-Depths

Yijie Huang, Xiaocui Yang, Shi Feng, Wen Zhang, Kaisong Song

Reasoning Fails Where Step Flow Breaks

Xiaoyu Xu, Yulan Pan, Xiaosong Yuan, Zhihong Shen, Minghao Su

Exons-Detect: Identifying and Amplifying Exonic Tokens via Hidden-State Discrepancy for Robust AI-Generated Text Detection

Xiaowei Zhu, Yubing Ren, Fang Fang, Shi Wang, Yanan Cao

EQUIP: EQUivariant preserving In-Place updates for Efficient Token Pruning

Arun Ramachandran, R Govindarajan, Murali Annavaram, Prakash Raghavendra

Pruning Unsafe Tickets: A Resource-Efficient Framework for Safer and More Robust LLMs

Wai Man Si, Mingjie Li, Michael Backes, Yang Zhang

TimeSAF: Towards LLM-Guided Semantic Asynchronous Fusion for Time Series Forecasting

Fan Zhang, Shiming Fan, Hua Wang

Inhibitory Attacks on Backdoor-based Fingerprinting for Large Language Models

Hang fu, Wanli Peng, Yinghan Zhou, Jiaxuan Wu, Juan Wen

Compiling Activation Steering into Weights via Null-Space Constraints for Stealthy Backdoors

Rui Yin, Tianxu Han, Naen Xu, Changjiang Li, Ping He

Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models

Boyan Han, Yiwei Wang, Yi Song, Yujun Cai, Chi Zhang

TinyJudge: Unverifiable Constraint Alignment via Lightweight Specialist Ensembles

Yirong Zeng, Yufei Liu, Xiao Ding, Yutai Hou, Yuxian Wang

CIRAG: Construction–Integration Retrieval and Adaptive Generation for Multi-hop Question Answering

Zili Wei, Yilin Wang, Xiaocui Yang, Shi Feng, Weidong Bao

MaDS: Long-Horizon GUI Automation via Synergizing Dual-Layer Memory and Multi-Round Debate

Pengchen Chen, Shi Chen, Qiming Ye, Xinli Chen, Xinran Li

SAFE-QAQ: End-to-End Slow-Thinking Audio-Text Fraud Detection via Reinforcement Learning

Peidong Wang, Zhiming Ma, Xin Dai, Yongkang Liu, Shi Feng

Beyond Surface Features: Advancing Medical Vision-Language Alignment via Dynamic Evidence-Guided Preference Optimization

Zixuan Huang, Zhihong Zhu, Xiaolong Liu, Yanchao Hao, Manman Zhang

RRAtention: Dynamic Block Sparse Attention via Per-Head Round-Robin Shifts for Long-Context Inference

Siran Liu, Guoxia Wang, Sa Wang, Jinle Zeng, Haoyang Xie

Attention Basin: Why Contextual Position Matters in Large Language Models

Zihao Yi, Zhenqing Ling, Delong Zeng, Haohao Luo, Zhe Xu

Stop Fixating on Prompts: Reasoning Hijacking and Constraint Tightening for Red-Teaming LLM Agents

Yanxu Mao, Peipei Liu, Tiehan Cui, Congying Liu, Mingzhe Xing

CoreCodeBench: Decoupling Code Intelligence via Fine-Grained Repository-Level Tasks

Lingyue Fu, Hao Guan, Bolun Zhang, Haowei Yuan, Yaoming Zhu

TransLLM: A Unified Multi-Task Large Language Model for Urban Transportation via Learnable Prompting

Jiaming Leng, Yunying Bi, Chuan Qin, Zhenya Huang, Bing Yin

Mixture-of-Experts with Intermediate CTC Supervision for Accented Speech Recognition

WonJun Lee, Hyounghun Kim, Gary Lee

Selective Knowledge Distillation: Fusing LLM Semantic Strengths with DNN Efficiency for Binary Code Similarity Detection

Shize Zhou, Peiyu Liu, Lirong Fu, Tong Ye, Wenhai Wang

VisRet: Visualization Improves Knowledge-Intensive Text-to-Image Retrieval

Di Wu, Yixin Wan, Kai-Wei Chang

Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation

Jeongho Yoon, Chanhee Park, Yongchan Chun, Hyeonseok Moon, Heuiseok Lim

CogEvolve: A Multimodal Benchmark for Evaluating Relational Reasoning in Semantic Extension

Jingjie Zeng, Huayang Li, Liang Yang, Yuanyuan Sun, Shaowu Zhang

From Logical to Computational Sparsity: Structure-Aware Block-Sparse Attention for Long-Code Completion

Yanli Wang, Yanlin Wang, Bowen Zhang, Yiwei Zhang, Daya Guo

Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented Generation

Qianchi Zhang, Hainan Zhang, Liang Pang, Hong-Wei Zheng, Zhiming Zheng

HAG: Hierarchical Demographic Tree-based Agent Generation for Topic-Adaptive Simulation

Rongxin Chen, Tianyu Wu, Bingbing Xu, JiaTang Luo, Xiucheng Xu

Jailbreaking Multimodal Large Language Models using Multi-Clip Video

Choongwon Kang, Seungjong Sun, Hyunmin Jun, Jang Hyun Kim

S2G-RAG: Structured Sufficiency and Gap Judging for Iterative Retrieval-Augmented QA

Minghan Li, Junjie Zou, Xinxuan Lv, Chao Zhang, Guodong Zhou

Temp-R1: A Unified Autonomous Agent for Complex Temporal KGQA via Reverse Curriculum Reinforcement Learning

Zhaoyan Gong, Zhiqiang Liu, Songze Li, Xiaoke Guo, Yuanxiang Liu

ImF: Embedding an Implicit Fingerprint in Your Large Language Models

Jiaxuan Wu, Wanli Peng, Hang fu, Xue Yiming, Juan Wen

MicroC-KT: Modeling Community Effect via Learning Micro-Environment for Evidence-Grounded Explainable Knowledge Tracing

Zhiyi Duan, Zixing Shi, Bing Jia, Qi Wang

TeCES: Collaborative Geometric Knowledge Representation Framework under Evolving Fact Snapshots

Jiujiang Guo, Zhengliang Guo, Kai Wang, Meiyang Wang, Dehua Peng

Re3: Relevance & Recency Retrieval for Mitigating Temporal Hallucination

Jiawei Cao, Jie Ouyang, Mingyue Cheng, Zhaomeng Zhou, Chunli Liu

Can Spectral-Clipping Enable Better Learning While Forgetting Less for Low-Rank Adaptation?

Hyowon Wi, Noseong Park

CrossGuard: Safeguarding MLLMs against Joint-Modal Implicit Malicious Attacks

Xu Zhang, Hao Li, Zhichao Lu

MedForge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning

Zhihui Chen, Kai He, Qingyuan Lei, Bin Pu, Jian Zhang

Latent-Condensed Transformer for Efficient Long Context Modeling

Zeng You, Yaofo Chen, Qiuwu Chen, Ying Sun, Shuhai Zhang

Forget What Matters, Keep the Rest: Selective Unlearning of Informative Tokens

Seunghee Koh, Sunghyun Baek, Youngdong Kim, Junmo Kim

LLM-ForcedAligner: A Non-Autoregressive and Accurate LLM-Based Forced Aligner for Multilingual and Long-Form Speech

Bingshen Mu, Xian Shi, Xiong Wang, Hexin Liu, Jin Xu

Two Pathways to Truthfulness: On the Intrinsic Encoding of LLM Hallucinations

Wen Luo, Guangyue Peng, Wei Li, Shaohang Wei, Feifan Song

Learning to Think on Hypergraph: HyperCoT for Structure-Guided N-ary Knowledge Graph Completion

Mengxue Yang, Jinming Li, Chun Yang, Jiaqi Zhu, Jiafan Li

Revisiting Metric Reliability for Fine-grained Evaluation of Machine Translation and Summarization in Indian Languages

Amir Hossein Yari, Kalmit Kulkarni, Ahmad Raza Khan, Fajri Koto

Cognitive Scaffold: From Fluid Context to Crystallized Memory for Long-Horizon DeepResearch Agents

Qiuyuan Ai, Zenghuang Fu, Zhaoyang Li, Ping Jiang, Haoyu Wu

Enhancing Agentic Textual Graph Retrieval with Synthetic Stepwise Supervision

Ge Chang, Jinbo Su, Jiacheng Liu, Pengfei Yang, Yuhao Shang

SafetyMem: Adaptive Jailbreak Defense via Dual-Component Safety Memory

Hao Wang, Ziyi Ni, Huacan Wang, Pin Lyu, Lei Sha

ReLook: Vision-Grounded RL with a Multimodal LLM Critic for Agentic Web Coding

Yuhang Li, Chenchen Zhang, Ruilin Lv, Ao Liu, Ken Deng

AIRCoder: Adaptive Integration of Multi-dimensional Retrieval for Repository-level Code Completion

Chuanqi Shi, Miao Gao, Zhiqiang Gao

Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts

Di Zhang, Xun Wu, Shaohan Huang, Lingjie Jiang, Yaru Hao

Chart-MRAG: Benchmarking Multimodal Retrieval Augmented Generation on Chart-based Documents

Ymyang, Jiang Zhong, Li Jin, Xiao Sun, Jingwang Huang

CSPO: Alleviating Reward Ambiguity for Structured Table-to-LaTeX Generation

Yunfan Yang, Cuiling Lan, Jitao Sang, Yan Lu

MM-JudgeBias: A Benchmark for Evaluating Compositional Biases in MLLM-as-a-Judge

Sua Lee, Sanghee Park, Jinbae Im

AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement Learning

Yuanfu Sun, Kang Li, Dongzhe Fan, Jiajin Liu, Qiaoyu Tan

GMFL: Efficient Global Masking for Federated LLM Fine-tuning

Xin Huang, Yan Hu, Yue-Jiao Gong, Xinglin Zhang

TPA: Next Token Probability Attribution for Detecting Hallucinations in RAG

Pengqian Lu, Jie Lu, Anjin Liu, Guangquan Zhang

EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention

Yifan Zhang, Chen Huang, Yueke Zhang, Jiahao Zhang, Toby Jia-Jun Li

WebSynthesis: World Model-Guided Monte Carlo Tree Search for Efficient WebAgent Trajectory Synthesis

Yifei Gao, Junhong Ye, Yifan Yang, Jiaqi Wang, Yi Zhang

Collision to Cognition: Hash-Driven Graph Construction for Efficient RAG

Chuang Zhou, Zheng Yuan, Linhao Luo, Zhaozhuo Xu, Yilin Xiao

MERIT Feedback Elicits Better Bargaining in LLM Negotiators

Jihwan Oh, Murad Aghazada, Yooju Shin, Se-Young Yun, Taehyeon Kim

ChipSeek: Optimizing Verilog Generation via EDA-Integrated Reinforcement Learning

Zhirong Chen, Kaiyan Chang, Zhuolin Li, Cangyuan Li, Xinyang He

NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs

Yingfeng Luo, Ziqiang Xu, Yuxuan Ouyang, Murun Yang, DingYang Lin

VLN-NF: Feasibility-Aware Vision-and-Language Navigation with False-Premise Instructions

Hung-Ting Su, Ting-Jun Wang, Jia-Fong Yeh, Min Sun, Winston H. Hsu

CUB: Benchmarking Context Utilisation Techniques for Language Models

Lovisa Hagström, Youna Kim, Haeun Yu, Sang-goo Lee, Richard Johansson