AAAI 2026

4,920 papers

HeartLLM: Discretized ECG Tokenization for LLM-Based Diagnostic Reasoning

Jinning Yang, Wenjie Sun, Wen Shi

PrivSV: Differentially Private Steering Vector for Large Language Models

Haocheng Yang, Xiang Cheng, Chenhao Sun, Pengfei Zhang, Sen Su

Breaking the Trade-Off Between Faithfulness and Expressiveness for Large Language Models

Chenxu Yang, Qingyi Si, Lanrui Wang, Zheng Lin

Test-time Prompt Intervention

Chenxu Yang, Qingyi Si, Mz Dai, Dingyu Yao, Mingyu Zheng

From Imitation to Discrimination: Toward a Generalized Curriculum Advantage Mechanism Enhancing Cross-Domain Reasoning Tasks

Changpeng Yang, Jinyang Wu, Yuchen Liu, SHUAI ZHANG, Yang Li

AgriEval: A Comprehensive Chinese Agricultural Benchmark for Large Language Models

Lian Yan, Haotian Wang, Chen Tang, Haifeng Liu, Tianyang Sun

MMBERT: Scaled Mixture-of-Experts Multimodal BERT for Robust Chinese Hate Speech Detection Under Cloaking Perturbations

Qiyao Xue, Yuchen Dou, Zheyuan Ryan Shi, Xiang Lorraine Li, Wei Gao

Benchmarking and Enhancing Rule Knowledge-Driven Reasoning of Large Language Models

Zijie Xu, Wenjun Ke, Peng Wang, Guozheng Li, Qingjian Ni

ST-LLM: Spatial Transcriptomics Embedding with Large Language Models

Zhetao Xu, Xiaohua Wan, Le Li, Shuang Feng, Yiming Zhang

Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention

Zhe Xu, Zhicai Wang, Junkang Wu, Jinda Lu, Xiang Wang

DeepPhy: Benchmarking Agentic VLMs on Physical Reasoning

Xinrun Xu, Pi Bu, Ye Wang, Börje F. Karlsson, Ziming Wang

RLKD: Distilling LLMs’ Reasoning via Reinforcement Learning

Shicheng Xu, Liang Pang, Yunchang Zhu, Jia Gu, Zihao Wei

Thinker: Training LLMs in Hierarchical Thinking for Deep Search via Multi-Turn Interaction

Jun Xu, Xinkai Du, Yu Ao, Peilong Zhao, Yang Li

Multi-Value Alignment for LLMs via Value Decorrelation and Extrapolation

Hefei Xu, Le Wu, Chen Cheng, Hao Liu

Multiplicative Orthogonal Sequential Editing for Language Models

Hao-Xiang Xu, Jun-Yu Ma, Ziqi Peng, Yuhao Sun, Zhen-Hua Ling

ComLQ: Benchmarking Complex Logical Queries in Information Retrieval

Ganlin Xu, Zhitao Yin, Linghao Zhang, Jiaqing Liang, Weijia Lu

MedMKEB: A Comprehensive Knowledge Editing Benchmark for Medical Multimodal Large Language Models

Dexuan Xu, Jieyi Wang, Zhongyan Chai, Yongzhi Cao, Hanpin Wang

Editing Is a Bargaining Game: Balanced Knowledge Editing in Large Language Models

Chenghao Xu, Jiexi Yan, Muli Yang, Fen Fang, Huilin Chen

OPLoRA: Orthogonal Projection LoRA Prevents Catastrophic Forgetting During Parameter-Efficient Fine-Tuning

Yifeng Xiong, Xiaohui Xie

Advanced Black-Box Tuning of Large Language Models with Limited API Calls

Zhikang Xie, Weilin Wan, Peizhu Gong, Weizhong Zhang, Cheng Jin

LLM-Oriented Token-Adaptive Knowledge Distillation

Xurong Xie, Zhucun Xue, Jiafu Wu, Jian Li, Yabiao Wang

CroPS: Improving Dense Retrieval with Cross-Perspective Positive Samples in Short-Video Search

Ao Xie, Jiahui Chen, Quanzhi Zhu, Xiaoze Jiang, Zhiheng Qin

DeepOR: A Deep Reasoning Foundation Model for Optimization Modeling

Ziyang Xiao, Yuan Jessica Wang, Xiongwei Han, Shisi Guan, Jingyan Zhu

Enhancing Uncertainty Estimation in LLMs with Expectation of Aggregated Internal Belief

Zeguan Xiao, Diyang Dou, Boya Xiong, Yun Chen, Guanhua Chen

SCALE: Selective Resource Allocation for Overcoming Performance Bottlenecks in Mathematical Test-time Scaling

Yang Xiao, Chunpu Xu, Ruifeng Yuan, Jessie Wang, Wenjie Li

SDA: Steering-Driven Distribution Alignment for Open LLMs Without Fine-Tuning

Wei Xia, Zhi-Hong Deng

KALL-E: Autoregressive Speech Synthesis with Next-Distribution Prediction

Kangxiang Xia, Xinfa Zhu, Jixun Yao, Wenjie Tian, Wenhao Li

MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning

Zhiheng Xi, Yuhui Wang, Yiwen Ding, Guanyu Li, Senjie Jin

GlitchMiner: Mining Glitch Tokens in Large Language Models via Gradient-based Discrete Optimization

Zihui Wu, Haichang Gao, Ping Wang, Shudong Zhang, Zhaoxiang Liu

GEM: Gaussian Embedding Modeling for Out-of-Distribution Detection in GUI Agents

Zheng Wu, Pengzhou Cheng, Zongru Wu, Lingzhong Dong, Zhuosheng Zhang

StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs Through Knowledge-Reasoning Fusion

Yutong Wu, Di Huang, Ruosi Wan, Yue Peng, Shijie Shang

Finding the Translation Switch: Discovering and Exploiting the Task-Initiation Features in LLMs

Xinwei Wu, Heng Liu, Xiaohu Zhao, Yuqi Ren, Linlong Xu

Audio-Thinker: Guiding Large Audio Language Model When and How to Think via Reinforcement Learning

Shu Wu, Chenxing Li, Wenfu Wang, Hao Zhang, Hualei Wang

A Disease-Aware Dual-Stage Framework for Chest X-ray Report Generation

Puzhen Wu, Hexin Dong, Yi Lin, Yihao Ding, Yifan Peng

Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination

Mingqi Wu, Zhihao Zhang, Qiaole Dong, Zhiheng Xi, Jun Zhao

Cognitive Enhancement Chain-of-Thought Towards Enhancing Style Learning and Content Preservation for Long Style Transfer

Lianwei Wu, Botao WANG, Wenbo An, Tieqiao Li, Xianghua Li

AStar: Boosting Multimodal Reasoning with Automated Structured Thinking

Jinyang Wu, Mingkuan Feng, Guocheng Zhai, SHUAI ZHANG, Zheng Lian

LAMDAS: LLM as an Implicit Classifier for Domain-specific Data Selection

Jian Wu, Hang Yu, Bingchang Liu, Yang Wenjie, Peng Di

ReCode: Updating Code API Knowledge with Reinforcement Learning

Haoze Wu, Yunzhi Yao, Wenhao Yu, Ningyu Zhang

Introducing Visual Scenes and Reasoning: A More Realistic Benchmark for Spoken Language Understanding

Di Wu, Liting Jiang, Ruiyu Fang, Bianjing, Hongyan Xie

Vision-Language Reasoning for Geolocalization: A Reinforcement Learning Approach

Biao Wu, Meng Fang, Ling Chen, Ke Xu, Tao Cheng

Reinforcement Learning Enhanced Muti-hop Reasoning for Temporal Knowledge Question Answering

Wuzhenghong Wen, Chao Xue, Su Pan, Yuwei Sun, Minlong Peng

MultiMedBench: A Scenario-Aware Benchmark for Evaluating Knowledge Editing in Medical VQA

Shengtao Wen, Haodong Chen, Yadong Wang, Zhongying Pan, Xiang Chen

AdaMCoT: Rethinking Cross-Lingual Factual Reasoning Through Adaptive Multilingual Chain-of-Thought

Zheng Weihua, Xin Huang, Zhengyuan Liu, Tarun Kumar Vangani, Bowei Zou

Mixture-of-Trees: Learning to Select and Weigh Reasoning Paths for Efficient LLM Inference

Yangbo Wei, Zhen Huang, Shaoqiang Lu, Junhong Qian, Dongge Qin

Beyond ReAct: A Planner-Centric Framework for Complex Tool-Augmented LLM Reasoning

Xiaolong Wei, Yuehu Dong, Xingliang Wang, Xingyu Zhang, Zhejun Zhao

Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning

Wenda Wei, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Lixin Su

MovieGraph-ToM: Evaluating Long-Range Theory of Mind in Large Language Models via Implicit Social-Causal Graphs

Tingjiang Wei, Qin Ni, Rong Gao, Yingying Wang, Liang He

MIRAGE: Scaling Test-Time Inference with Parallel Graph-Retrieval-Augmented Reasoning Chains

Kaiwen Wei, Rui Shan, Dongsheng Zou, Jianzhong Yang, Bi Zhao

AutoLink: Autonomous Schema Exploration and Expansion for Scalable Schema Linking in Text-to-SQL at Scale

Ziyang Wang, Yuanlei Zheng, Zhenbiao Cao, Xiaojin Zhang, zhongyu wei

SheetBrain: A Neuro-Symbolic Agent for Accurate Reasoning over Complex and Large Spreadsheets

Ziwei Wang, Jiayuan Su, Mengyu Zhou, Huaxing Zeng, Mengni Jia

Knowledge Boundary Discovery for Large Language Models

Ziquan Wang, Zhongqi Lu

Eliciting Chain-of-Thought in Base LLMs via Gradient-Based Representation Optimization

Zijian Wang, Yanxiang Ma, Chang Xu

MetaEval: Measuring the Discrimination of Benchmarks for Efficient LLM Evaluation

Zhuo Wang, Wen Wu, Guoqing Wang, Guangze Ye, Zhenxiao Cheng

COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees

Zhiyuan Wang, Jinhao Duan, Qingni Wang, Xiaofeng Zhu, Tianlong Chen

CP-Search: A Chain Progressive Search Training Framework Incentivizing the Cognitive Behaviors for Searching in LLMs

Zehua Wang, Shipeng Li, Buzhou Tang

Multi-level Style Preference Optimization: An Adaptive Detection Framework for Human-Machine Hybrid Text

Zehao Wang, Lianwei Wu, Wenbo An, Hang Zhang, Yaxiong Wang

BEE-RAG: Balanced Entropy Engineering for Retrieval-Augmented Generation

Yuhao Wang, Ruiyang Ren, Yucheng Wang, Jing Liu, Xin Zhao

DualSpeechLM: Towards Unified Speech Understanding and Generation via Dual Speech Token Modeling with Large Language Models

Yuanyuan Wang, Dongchao Yang, Yiwen Shao, Hangting Chen, Jiankun Zhao

Beyond N-grams: A Hierarchical Reward Learning Framework for Clinically-Aware Medical Report Generation

Yuan Wang, Shujian Gao, Jiaxiang Liu, Songtao Jiang, Xia Haoxiang

OptScale: Probabilistic Optimality for Inference-time Scaling

Youkang Wang, Jian Wang, Rubing Chen, Xiao-Yong Wei

REFO: Reinforced Evolutionary Faithfulness Optimization for Large Language Models

Yi Wang, Xiaqiang Tang, Keyu Hu, Haojie Lu, Sihong Xie

Efficient Post-Training Refinement of Latent Reasoning in Large Language Models

Xinyuan Wang, Dongjie Wang, Wangyang Ying, Haoyue Bai, Nanxu Gong

DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering

Xinyi Wang, Yiping Song, Zhiliang Tian, Bo Liu, Tingjin Luo

Hallucination as a Computational Boundary: A Hierarchy of Inevitability and the Oracle Escape

Xi Wang, Quan Shi, Zenghui Ding, Jianqing Gao, Xianjun Yang

A Rolling Stone Gathers No Moss: Adaptive Policy Optimization for Stable Self-Evaluation in Large Multimodal Models

Wenkai Wang, Hongcan Guo, Zheqi Lv, Shengyu Zhang

OmniBench: A Comprehensive Benchmark Integrating Real-World, Time-sensitive, and Multi-Hop Questions with a Multi-Dimensional Hybrid Evaluation Framework

Wenjie Wang, Yufeng Jiang, Ge Sun, Chenghang Dong, Zheng Jun

Ghost in the Transformer: Detecting Model Reuse with Invariant Spectral Signatures

Suqing Wang, Ziyang Ma, Li Xinyi, Zuchao Li

Scaling and Transferability of Annealing Strategies in Large Language Model Training

Siqi Wang, Zhengyu Chen, Teng Xiao, Zheqi Lv, Jinluan Yang

Collaborative Enhancement of Large and Small Models for Question Answering via Dual Knowledge Transfer

Shaofei Wang, Yunan Liu, Xiaolan Tang, Wenlong Chen

LoKI: Low-Damage Knowledge Implanting of Large Language Models

Runyu Wang, Peng Ping, Zhengyu Guo, Xiaoye Zhang, Quan Shi

Beyond Accuracy: A Cognitive Load Framework for Mapping the Capability Boundaries of Tool-use Agents

Qihao Wang, Yue Hu, Mingzhe Lu, Jiayue Wu, Yanbing Liu

ALEX:A Light Editing-knowledge Extractor

Minghu Wang, ShuLiang Zhao, Yuanyuan Zhao, Hongxia Xu

DeepWriter: A Multi-Agent Collaboration Framework for Information-rich Ultra-long Book Writing

Ming Wang, Minghao Hu, Xiuli Kang, LI He, Yu Tian

SRACG: A Code Generation Framework with Selective Retrieval Augmentation

Mengzhen Wang, Shukai Ma, Songwen Gong, Jiexin Wang, Ruolin Chen

Decoupling Understanding from Reasoning via Problem Space Mapping for Small-Scale Model Reasoning

Li Wang, Changhao Zhang, Zengqi Xiu, Kai Lu, Xin Yu

When Truth Is Overridden: Uncovering the Internal Origins of Sycophancy in Large Language Models

Keyu Wang, Jin Li, Shu Yang, Zhuoran Zhang, Di Wang

ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning

Juyuan Wang, Rongchen Zhao, Wei Wei, Yufeng Wang, Mo Yu

UniCUE: Unified Recognition and Generation Framework for Chinese Cued Speech Video-to-Speech Generation

Jinting Wang, Shan Yang, Chenxing Li, Dong Yu, Li Liu

Towards Closed-Loop Embodied Empathy Evolution: Probing LLM-Centric Lifelong Empathic Motion Generation in Unseen Scenarios

Jiawen Wang, Jingjing Wang, Tianyang Chen, Min Zhang, Guodong Zhou

Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Robust Response Generation in the Wild

Jiatai Wang, Zhiwei Xu, Di Jin, Xuewen Yang, Tao Li

ShoppingBench: A Real-World Intent-Grounded Shopping Benchmark for LLM-based Agents

Jiangyuan Wang, Kejun Xiao, Qi Sun, Huaipeng Zhao, Tao Luo

TTA-Bench: A Comprehensive Benchmark for Evaluating Text-to-Audio Models

Hui Wang, Cheng Liu, Junyang Chen, Haoze Liu, Yuhang Jia

A General Highly Accurate Online Planning Method Integrating Large Language Models into Nested Rollout Policy Adaptation for Dialogue Tasks

Hui Wang, Fafa Zhang, Xiaoyu Zhang, Chaoxu Mu

Bridging the Tokenizer Gap: Semantics and Distribution-aware Knowledge Transfer for Unbiased Cross-Tokenizer Distillation

Huazheng Wang, Yongcheng Jing, Haifeng Sun, Jingyu Wang, Jianxin Liao

Enhancing Stability and Fidelity for Zero-Shot TTS with a Multi-Level Evaluator

Hualei Wang, Na Li, Chuke Wang, Shu Wu, Zhifeng Li

USE: A Unified Model for Universal Sound Separation and Extraction

Hongyu Wang, Chenda Li, Xin Zhou, Shuai Wang, Yanmin Qian

Improving Implicit Discourse Relation Recognition with Natural Language Explanations from LLMs

Heng Wang, Changxing Wu

RPTS: Tree-Structured Reasoning Process Scoring for Faithful Multimodal Evaluation

Haofeng Wang, Yu Zhang

SDEval: Safety Dynamic Evaluation for Multimodal Large Language Models

Hanqing Wang, Yuan Tian, Mingyu Liu, Zhenhao Zhang, Xiangyang Zhu

Speech Recognition Model Improves Text-to-Speech Synthesis Using Fine-Grained Reward

Guansu Wang, Peijie Sun

Rethinking Flow and Diffusion Bridge Models for Speech Enhancement

Dahan Wang, Jun Gao, Tong Lei, Yuxiang Hu, Changbao Zhu

Light-IF: Endowing LLMs with Generalizable Reasoning via Preview and Self-Checking for Complex Instruction Following

Chenyang Wang, Liang Wen, Shousheng Jia, Xiangzheng Zhang, Liang Xu

ICL-Router: In-Context Learned Model Representations for LLM Routing

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

Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models

Chenglong Wang, Yifu Huo, Yang Gan, Yongyu Mu, Qiaozhi He

GRAM-R²: Self-Training Generative Foundation Reward Models for Reward Reasoning

Chenglong Wang, Yongyu Mu, Hang Zhou, Yifu Huo, Ziming Zhu

Re-SpS: A Reinforcement Learning Approach to Speculative Sampling

Chenan Wang, Daniel H. Shi, Haipeng Chen

Joint Evaluation of Answer and Reasoning Consistency for Hallucination Detection in Large Reasoning Models

Changyue Wang, Weihang Su, Qingyao Ai, Yiqun Liu

Cross-Granularity Hypergraph Retrieval-Augmented Generation for Multi-hop Question Answering

Changjian Wang, Weihong Deng, Weili Guan, Quan Lu, Ning Jiang

Deconstructing Pre-training: Knowledge Attribution Analysis in MoE and Dense Models

Bo Wang, Junzhuo Li, Hong Chen, Yuanlin Chu, Yuxuan Fan