AAAI 2026

4,920 papers

Note2Chat: Improving LLMs for Multi-Turn Clinical History Taking Using Medical Notes

Yang Zhou, Zhenting Sheng, Mingrui Tan, Yuting Song, Jun Zhou

IndexTTS2: A Breakthrough in Emotionally Expressive and Duration-Controlled Auto-Regressive Zero-Shot Text-to-Speech

Siyi Zhou, Yiquan Zhou, Yi He, Xun Zhou, Jinchao Wang

What to Ask Next? Probing the Imaginative Reasoning of LLMs with TurtleSoup Puzzles

Mengtao Zhou, Sifan Wu, Huan Zhang, Qi Sima, Bang Liu

STaR: Sensitive Trajectory Regulation for Unlearning in Large Reasoning Models

Jingjing Zhou, Gaoxiang Cong, Li Su, Liang Li

DIFFA: Large Language Diffusion Models Can Listen and Understand

Jiaming Zhou, Hongjie Chen, Shiwan Zhao, Jian Kang, Jie Li

LLM Collaborative Filtering: User-Item Graph as New Language

Huachi Zhou, Yujing Zhang, Hao Chen, Qinggang Zhang, Qijie Shen

HyperGLLM: An Efficient Framework for Endpoint Threat Detection via Hypergraph-Enhanced Large Language Models

Hongyi Zhou, Jianfeng Pan, Min Peng, Shaomang Huang, Hanzhong Zheng

Lost in Benchmarks? Rethinking Large Language Model Benchmarking with Item Response Theory

Hongli Zhou, Hui Huang, Ziqing Zhao, Lvyuan Han, Huicheng Wang

P2S: Probabilistic Process Supervision for General-Domain Reasoning Question Answering

Wenlin Zhong, Chengyuan Liu, Yiquan Wu, Bovin Tan, Changlong Sun

Learning from Guidelines: Structured Prompt Optimization for Expert Annotation Tasks

Wenliang Zhong, Haiqing Li, Thao M. Dang, Feng Jiang, Hehuan Ma

Compress-then-Rank: Faster and Better Listwise Reranking with Large Language Models via Ranking-Aware Passage Compression

Zhewei Zhi, Yingyi Zhang, Yizhen Jing, Xianneng Li, Jianing Liu

Graph-augmented and Over-smoothing-resistant Contrastive Clustering for Short Text

Zijian Zheng, Tao Ai, Yonghe Lu

Navigating Through Paper Flood: Advancing LLM-Based Paper Evaluation Through Domain-Aware Retrieval and Latent Reasoning

Wuqiang Zheng, Yiyan Xu, Xinyu Lin, Chongming Gao, Wenjie Wang

M3UCD: A Multi-task Multimodal Metaphor Understanding Challenge Dataset for LLMs

Tianlong Zheng, Yating Yang, Rui Dong, Bo Ma, Lei Wang

Say More with Less: Variable-Frame-Rate Speech Tokenization via Adaptive Clustering and Implicit Duration Coding

Rui-Chen Zheng, Wenrui Liu, Hui-Peng Du, Qinglin Zhang, Chong Deng

Rethinking the Reliability of Multi-agent System: A Perspective from Byzantine Fault Tolerance

Lifan Zheng, Jiawei Chen, Qinghong Yin, Jingyuan Zhang, Xinyi Zeng

Don’t Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs

Ziyi Zhao, Chongming Gao, Yang Zhang, Haoyan Liu, Weinan Gan

LaF-GRPO: In-Situ Navigation Instruction Generation for the Visually Impaired via GRPO with LLM-as-Follower Reward

Yi Zhao, Siqi Wang, Jing Li

AgentCDM: Enhancing Multi-Agent Collaborative Decision-Making via ACH-Inspired Structured Reasoning

Xuyang Zhao, Shiwan Zhao, Hualong Yu, Liting Zhang, Qicheng Li

Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities

Weixiang Zhao, Xingyu Sui, Jiahe Guo, Yulin Hu, Yang Deng

MMRAG-RFT: Two-stage Reinforcement Fine-tuning for Explainable Multi-modal Retrieval-augmented Generation

Shengwei Zhao, Jingwen Yao, Sitong Wei, Linhai Xu, Yuying Liu

Making Every Head Count: Sparse Attention Without the Speed-Performance Trade-off

Mingkuan Zhao, Wentao Hu, Jiayin Wang, Xin Lai, Tianchen Huang

SABER: Switchable and Balanced Training for Efficient LLM Reasoning

KAI ZHAO, Yanjun Zhao, Jiaming Song, Shien He, Lusheng Zhang

Beyond Step Pruning: Information Theory Based Step-level Optimization for Self-Refining Large Language Models

Jinman Zhao, Erxue Min, Hui Wu, Ziheng Li, Zexu Sun

GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning

Jian Zhao, Runze Liu, Kaiyan Zhang, Zhimu Zhou, Junqi Gao

Reflect Then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion

Dong Zhao, Yadong Wang, Xiang Chen, Chenxi Wang, Hongliang Dai

TASE: Token Awareness and Structured Evaluation for Multilingual Language Models

ChenZhuo Zhao, Xinda Wang, Yue Huang, Junting Lu, Ziqian Liu

When Instinct Guides and Insight Grounds: Staged RL Training for LLM Agents

Zijing Zhang, Boning Zhang

SCOPE: Intrinsic Semantic Space Control for Mitigating Copyright Infringement in LLMs

Zhenliang Zhang, Xinyu Hu, Xiaojun Wan

Syllogism-Inspired TableQA: Evidentialization Makes Decomposition Reasoning and Answer Verification More Reliable

Zhe Zhang, Lili Bai, Chaopeng Guo, Jie Song

MSME: A Multi-Stage Multi-Expert Framework for Zero-Shot Stance Detection

Yuanshuo Zhang, Aohua Li, Bo Chen, Jingbo Sun, Xiaobing Zhao

The Avengers: A Routing Recipe for Collective Intelligence in Language Models

Yiqun Zhang, Hao Li, Chenxu Wang, Linyao Chen, Qiaosheng Zhang

LeanRAG: Knowledge-Graph-Based Generation with Semantic Aggregation and Hierarchical Retrieval

Yaoze Zhang, Rong Wu, Pinlong Cai, Xiaoman Wang, Guohang Yan

UDA: Unsupervised Debiasing Alignment for Pair-wise LLM-as-a-Judge

Yang Zhang, Cunxiang Wang, Lindong Wu, Wenbo Yu, Yidong Wang

ShadeEdit: A Utility-Preserving and Defense-Evasive Knowledge Manipulation Attack in Federated LLMs

Xu Zhang, Hangcheng Liu, Shangwei Guo, Shudong Zhang, Tianwei Zhang

Token-Context Attention for NLI: An Alternative to Self-Attention

Xin Zhang, Victor S. Sheng

Safety Alignment of Large Language Models via Contrasting Safe and Harmful Distributions

Xiaoyun Zhang, Zhengyue Zhao, Wenxuan Shi, Kaidi Xu, Di Huang

L2-LoRA: Improving Low-Rank Adaptation with Layer-Specific Regularization

Xiang Zhang, Rui Xie, Shikun Zhang

Interpretable Reward Model via Sparse Autoencoder

Shuyi Zhang, Wei Shi, Sihang Li, Jiayi Liao, Tao Liang

How Does Alignment Enhance LLMs’ Multilingual Capabilities? A Language Neurons Perspective

Shimao Zhang, Zhejian Lai, Xiang Liu, Shuaijie She, Xiao Liu

AI-Salesman: Towards Reliable Large Language Model Driven Telemarketing

Qingyu Zhang, Chunlei Xin, Xuanang Chen, Yaojie Lu, Hongyu Lin

ASKD: Reinforcement Learning-Style Knowledge Distillation with Quality-Adaptive Skewness

Mingjie Zhang, Xiaoling Zhou, Yuxiao Luo, Yiyu Liu, Shikun Zhang

Collaborative LLM Numerical Reasoning with Local Data Protection

Min Zhang, Yuzhe Lu, Yun Zhou, Panpan Xu, Lin Lee Cheong

CATS: Category-Aware Token-level Steering for Training-Free Redundancy Reduction in Large Reasoning Models

Mengfei Zhang, Zhenglin Wang

MetaGDPO: Alleviating Catastrophic Forgetting with Metacognitive Knowledge Through Group Direct Preference Optimization

Lanxue Zhang, Yuqiang Xie, Fang Fang, Fanglong Dong, Rui Liu

LLM-CAS: Dynamic Neuron Perturbation for Real-Time Hallucination Correction

Jusheng Zhang, Ningyuan Liu, Yijia Fan, Zihao Huang, Qinglin Zeng

Multi-Metric Preference Alignment for Generative Speech Restoration

Junan Zhang, Xueyao Zhang, Jing Yang, Yuancheng Wang, Fan Fan

TAdaRAG: Task Adaptive Retrieval-Augmented Generation via On-the-Fly Knowledge Graph Construction

Jie Zhang, Bo Tang, Wanzi Shao, Wenqiang Wei, Jihao Zhao

Steering Representations, Safeguarding Privacy: A Cross-Modal Privacy Protection Method for Generative AI

Jie Zhang, Chenxu Niu, Zhefeng Nan, Yangyan Xu, Jinta Weng

Prune4Web: DOM Tree Pruning Programming for Web Agent

Jiayuan Zhang, Kaiquan Chen, Zhihao Lu, Enshen Zhou, Qian Yu

AP2O-Coder: Adaptively Progressive Preference Optimization for Reducing Compilation and Runtime Errors in LLM-Generated Code

Jianqing Zhang, Wei Xia, Hande Dong, Qiang Lin, Jian Cao

LLaVA-MS-PIT: Multi-Modal Schema-Guided Progressive Instruction Tuning for Multi-Modal Event Extraction

Hui Zhang, Po Hu, Wei Emma Zhang

MoLoRA: Boosting LLM-based End-to-end Speech Translation with Mixture of Low-rank Experts

Hao Zhang, Yaqi Chen, Nianwen Si, Xukui Yang, Wenlin Zhang

WikiREVIEW: A Multi-Perspective Review Framework for Automatic Wiki-Style Article Generation

Guo-Biao Zhang, Zhijing Wu, Tian Lan, Ding-Yuan Liu, Yu-Shi Zhu

Learning to Generate and Extract: A Multi-Agent Collaboration Framework for Zero-Shot Document-Level Event Arguments Extraction

Guangjun Zhang, Hu Zhang, Yazhou Han, Yue Fan, Yuhang Shao

EA-VAE: Learning to Reconstruct Dysarthric Speech via Variational Autoencoder with Encoding Alignment

Daipeng Zhang, Wenhuan Lu, Xianghu Yue, Hongcheng Zhang, Jianguo Wei

RFKG-CoT: Relation-Driven Adaptive Hop-count Selection and Few-Shot Path Guidance for Knowledge-Aware QA

Chao Zhang, Minghan Li, Tianrui Lv, Guodong Zhou

Induce, Align, Predict: Zero-Shot Stance Detection via Cognitive Inductive Reasoning

Bowen Zhang, Jun Ma, Fuqiang Niu, Li Dong, Jinzhou Cao

Predicting Emergent Tool Use in LLMs Before It Emerges: A Proxy Perspective

Bo-Wen Zhang, Yan Yan, Guang Liu, Xu-Cheng Yin

Global-Local Confidence Fusion for Hallucination Detection in Mathematical Reasoning Task

Bo Zhang, Cong Gao, Linkang Yang, Bingxu Han, Minghao Hu

JELV: A Judge of Edit-Level Validity for Evaluation and Automated Reference Expansion in Grammatical Error Correction

Yuhao Zhan, Yuqing Zhang, Jing Yuan, Qixiang Ma, Zhiqi Yang

MathSmith: Towards Extremely Hard Mathematical Reasoning by Forging Synthetic Problems with a Reinforced Policy

Shaoxiong Zhan, Yanlin Lai, Ziyu Lu, Dahua Lin, Ziqing Yang

ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool learning

Xingshan Zeng, Weiwen Liu, Xu Huang, Zezhong Wang, Lingzhi Wang

SlideTailor: Personalized Presentation Slide Generation for Scientific Papers

Wenzheng Zeng, Mingyu Ouyang, Langyuan Cui, Hwee Tou Ng

Expert-Inspired Multi-Agent Coordination for Multi-Objective Molecular Optimization

Daojian Zeng, Tianle Li, Jiahao Yang, Jiacai Yi, Xieping Gao

CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge

Lei Zan, Keli Zhang, Ruichu Cai, Lujia Pan

ExPairT-LLM: Exact Learning for LLM Code Selection by Pairwise Queries

Tom Yuviler, Dana Drachsler-Cohen

Reducing the Scope of Language Models

David Yunis, Siyu Huo, Chulaka Gunasekara, Danish Contractor

MARS: Multimodal Adaptive Reasoning Model for Avoiding Overthinking

Tan Yue, Qiong Wu, Dongyan Zhao

Promoting Efficient Reasoning with Verifiable Stepwise Reward

Chuhuai Yue, Chengqi Dong, Yinan Gao, Hang He, Jiajun Chai

MCTS-SQL: Light-Weight LLMs Can Master the Text-to-SQL Through Monte Carlo Tree Search

Shuozhi Yuan, Liming Chen, Miaomiao Yuan, Zhao Jin

Language Model Distillation: A Temporal Difference Imitation Learning Perspective

Zishun Yu, Shangzhe Li, Xinhua Zhang

Discovering Decoupled Functional Modules in Large Language Models

Yanke Yu, Jin Li, Ying Sun, Ping Li, Zhefeng Wang

ToC: Tree-of-Claims Search with Multi-Agent Language Models

Shuyang Yu, Jianan Liang, Hui Hu

SR-KI: Scalable and Real-Time Knowledge Integration into LLMs via Supervised Attention

Bohan Yu, Wei Huang, Kang Liu

WhisperDiari: A Whisper-Based Speaker Diarization Framework in Token Space Leveraging Semantic and Speaker Information for Better Text Adaptability

YongKang Yin, Yuexian Zou

SpeakerLM: End-to-End Versatile Speaker Diarization and Recognition with Multimodal Large Language Models

Han Yin, Yafeng Chen, Chong Deng, Luyao Cheng, Hui Wang

K-12EduBench: A Benchmark for Evaluating Large Language Models’ Knowledge, Problem-Solving, and Educational Goal Cognition in K-12 Education

Yuqing Ye, Xuan Zhou, Zhifu Chen, Dandan Li, Hengnian Gu

LangGPS: Language Separability Guided Data Pre-Selection for Joint Multilingual Instruction Tuning

Yangfan Ye, Xiaocheng Feng, Xiachong Feng, Lei Huang, Weitao Ma

RealWebAssist: A Benchmark for Long-Horizon Web Assistance with Real-World Users

Suyu Ye, Haojun Shi, Darren Shih, Hyokun Yun, Tanya G. Roosta

Themis: Automated Constraint-Aware Test Synthesis Framework for Code Reinforcement Learning

Shengyu Ye, Qi Liu, Hao Jiang, Zheng Zhang, Heng Yu

Seeing through the Conﬂict: Transparent Knowledge Conﬂict Handling in Retrieval-Augmented Generation

Hua Ye, Siyuan Chen, Ziqi Zhong, Canran Xiao, Haoliang Zhang

Interpreting Fedspeak with Confidence: A LLM-Based Uncertainty-Aware Framework Guided by Monetary Policy Transmission Paths

Rui Yao, Qi Chai, Jinhai Yao, Siyuan Li, Junhao Chen

Incorporating Self-Rewriting into Large Language Model Reasoning Reinforcement

Jiashu Yao, Heyan Huang, Shuang Zeng, Chuwei Luo, WangJie You

V-Pruner: A Fast and Globally-informed Token Pruning Framework for Vision Transformer

Guangzhen Yao, Jiayun Zheng, Zezhou Wang, Wenxin Zhang, Renda Han

Conversational Learning Diagnosis via Reasoning Multi-Turn Interactive Learning

Fangzhou Yao, Sheng Chang, Weibo Gao, Qi Liu

ORACLE: Optimizing Reasoning Abilities of Large Language Models via Constraint-Led Synthetic Data Elicitation

Zhuojie Yang, Wentao Wan, Keze Wang

Multimodal DeepResearcher: Generating Text-Chart Interleaved Reports from Scratch with Agentic Framework

Zhaorui Yang, Bo Pan, Han Wang, Yiyao Wang, Xingyu Liu

SASST: Leveraging Syntax-Aware Chunking and LLMs for Simultaneous Speech Translation

Zeyu Yang, Lai Wei, Roman Koshkin, Xi Chen, Satoshi Nakamura

RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection

Yixin Yang, Qingxiu Dong, Linli Yao, Fangwei Zhu, Weilin Luo

EHRStruct: A Comprehensive Benchmark Framework for Evaluating Large Language Models on Structured Electronic Health Record Tasks

Xiao Yang, Xuejiao Zhao, Zhiqi Shen

Talk2Code: A Multi-Turn Interaction Benchmark with Dual-Track Evaluation for Code Generation

Weibin Yang, Liangru Xie, Jieyun Cai, Yuxiang Yan, Hong-Ning Dai

AsFT: Anchoring Safety During LLM Fine-Tuning Within Narrow Safety Basin

Shuo Yang, Qihui Zhang, Yuyang Liu, Yue Huang, Xiaojun Jia

RegionMarker: A Region-Triggered Semantic Watermarking Framework for Embedding-as-a-Service Copyright Protection

Shufan Yang, Zifeng Cheng, Zhiwei Jiang, Yafeng Yin, Cong Wang

HyCoRA: Hyper-Contrastive Role-Adaptive Learning for Role-Playing

Shihao Yang, Zhicong Lu, Yong Yang, Bo Lv, Yang Shen

MrM: Black-Box Membership Inference Attacks Against Multimodal RAG Systems

Peiru Yang, Jinhua Yin, Haoran Zheng, Xueying Bai, Huili Wang

ShieldRAG: Safeguarding Retrieval-Augmented Generation from Untrusted Knowledge Bases

Peiru Yang, Haoran Zheng, Yi Luo, Xinyi Liu, Jinrui Wang

OncoCoT: A Temporal-causal Chain-of-Thought Dataset for Oncologic Decision-Making

Peiru Yang, Yudong Li, Shiting Wang, Xinyi Liu, Haotian Gan

Decoupling Knowledge and Reasoning in LLMs: An Exploration Using Cognitive Dual-System Theory

Mutian Yang, Jiandong Gao, Ji Wu

RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior

Junyao Yang, Jianwei Wang, HUIPING ZHUANG, Cen Chen, Ziqian Zeng