AAAI 2026

4,920 papers

An LLM-based Simulation Framework for Embodied Conversational Agents in Psychological Counseling

Lixiu Wu, Yuanrong Tang, Qisen Pan, Xianyang Zhan, Yuchen Han

Think How Your Teammates Think: Active Inference Can Benefit Decentralized Execution

Hao Wu, Shoucheng Song, Chang Yao, Sheng Han, Huaiyu Wan

MARPO: A Reflective Policy Optimization for Multi-Agent Reinforcement Learning

Cuiling Wu, Yaozhong Gan, Junliang Xing, Ying Fu

InfoCom: Kilobyte-Scale Communication-Efficient Collaborative Perception with Information Bottleneck

Quanmin Wei, Penglin Dai, Wei Li, Bingyi Liu, Xiao Wu

AcoustoReinforce: Multi-Particle Acoustophoretic Path Planning with Deep Reinforcement Learning

Pengyuan Wei, Giorgos Christopoulos, Zhouyang Shen, Jincheng Wang, Joshua Mukherjee

DanceHA: A Multi-Agent Framework for Document-Level Aspect-Based Sentiment Analysis

Lei Wang, Min Huang, Eduard Dragut

From Text to Simulation: A Multi-Agent LLM Workflow for Automated Chemical Process Design

Xufei Tian, Wenli Du, Shaoyi Yang, Han Hu, Hui Xin

MACoT: Synthesizing Chains of Thought for Small Models via Multi-Agent Collaboration

Guokai Tang, Feng Zhao

BTPG-max: Achieving Local Maximal Bidirectional Pairs for Bidirectional Temporal Plan Graphs

Yifan Su, Rishi Veerapaneni, Jiaoyang Li

Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models

Sanchit Sinha, Guangzhi Xiong, Zhenghao He, Aidong Zhang

A Graph-Theoretical Perspective on Law Design for Multiagent Systems

Qi SHI, Pavel Naumov

Towards Effective Offensive Security LLM Agents: Hyperparameter Tuning, LLM as a Judge, and a Lightweight CTF Benchmark

Minghao Shao, Nanda Rani, Kimberly Milner, Haoran Xi, Meet Udeshi

CAMAR: Continuous Actions Multi-Agent Routing

Artem Pshenitsyn, Aleksandr Panov, Alexey Skrynnik

Spatially Grouped Curriculum Learning for Multi-Agent Path Finding

Thomy Phan, Sven Koenig

Truncated Counterfactual Learning for Anytime Multi-Agent Path Finding

Thomy Phan, Shao-Hung Chan, Sven Koenig

Equilibrium-Driven Vertical Federated Learning with Selective Privacy Protection

Yuanzhe Peng, Wenwei Zhao, Zhuo Lu, Jie Xu

Multi-Agent Corridor Reasoning for Multi-Agent Path Finding

Yiran Ni, Deshi Ye

Adaptive Theory of Mind for LLM-based Multi-Agent Coordination

Chunjiang Mu, Ya Zeng, Qiaosheng Zhang, Kun Shao, Chen Chu

Regular Games -- an Automata-Based General Game Playing Language

Radosław Miernik, Marek Szykuła, Jakub Kowalski, Jakub Cieśluk, Łukasz Galas

StyleTailor: Towards Personalized Fashion Styling via Hierarchical Negative Feedback

Hongbo Ma, Fei Shen, Hongbin Xu, Xiaoce Wang, Gang Xu

Think, Speak, Decide: Language-Augmented Multi-Agent Reinforcement Learning for Economic Decision-Making

Heyang Ma, Qirui Mi, Qipeng Yang, Zijun Fan, Bo Li

SEVADE: Self-Evolving Multi-Agent Analysis with Decoupled Evaluation for Hallucination-Resistant Sarcasm Detection

Ziqi Liu, Ziyang Zhou, Yilin Li, Mingxuan Hu, Yushan Pan

HCPO: Hierarchical Conductor-Based Policy Optimization in Multi-Agent Reinforcement Learning

Zejiao Liu, Junqi Tu, Yitian Hong, Luolin Xiong, Yaochu Jin

Safe Multi-Agent Reinforcement Learning via Distributional Safety Critic and Maximum Entropy Optimization

Qiwei Liu, Ye Yuan, Lingyue Zhang, Kaitian Chen, Yunkai Lv

IPDA:Intelligent Perception Delay Alignment Method Based on Spatio-Temporal Co-Sensing Calibration

Jianhang Liu, Dianzheng Zhang, Hongxin Pan, Guangqian Jiang, Runda Fan

Achieving Equilibrium Under Utility Heterogeneity: An Agent-Attention Framework for Multi-Agent Multi-Objective Reinforcement Learning

Zhuhui Li, Chunbo Luo, Liming Huang, Luyu Qi, Geyong Min

DRAFT-RL: Multi-Agent Chain-of-Draft Reasoning for Reinforcement Learning-Enhanced LLMs

Yuanhao Li, Mingshan Liu, Hongbo Wang, Yiding Zhang, Yifei Ma

Learning to Cooperate with Minimal Observability

Chin-wing Leung, Paolo Turrini, Fernando P. Santos, Mirco Musolesi

Robust Multiagent Combinatorial Path Finding

Yehonatan Kidushim, Avraham Natan, Roni Stern, Meir Kalech

Graph Attention-Guided Search for Dense Multi-Agent Pathfinding

Rishabh Jain, Keisuke Okumura, Michael Amir, Amanda Prorok

GRIP: Latent Field-Guided Graph Policy for Budget-Constrained Multi-Agent Routing

Yujiao Hu, Zuyu Chen, MengJie Lee, Jinchao Chen, Meng Shen

Unreal-MAP: Unreal-Engine-Based General Platform for Multi-agent Reinforcement Learning

Tianyi Hu, Qingxu Fu, Zhiqiang Pu, Yuan Wang, Tenghai Qiu

Tapas Are Free! Training-Free Adaptation of Programmatic Agents via LLM-Guided Program Synthesis in Dynamic Environments

Jinwei Hu, Yi Dong, Youcheng Sun, Xiaowei Huang

Orion: Steering Personalized Web Agents via Global-Micro Profiling and Adaptive Intent Tracking

Die Hu, Jingguo Ge, Weitao Tang, He Kong, Liangxiong Li

Agent-SAMA: State-Aware Mobile Assistant

Linqiang Guo, Wei Liu, Yi Wen Heng, Tse-Hsun (Peter) Chen, Yang Wang

Emergent Fast-Slow Dynamics in Multi-Agent Q-Learning for Networked Stochastic Games

Yuxin Geng, Wolfram Barfuss, Xingru Chen

GRDC: A Unified Graph-Driven Framework for Role Discovery and Communication in Multi-Agent Reinforcement Learning

Zihong Gao, Hongjian Liang, Yuanhui Hao, Lei Hao, Liangjun Ke

Counterfactual Planning for Generalizable Agents’ Actions

Jiarun Fu, Lizhong Ding, Qiuning Wei, Yuhan Guo, Yurong Cheng

Symbolic Planning and Multi-Agent Path Finding in Extremely Dense Environments with Unassigned Agents

Bo Fu, Zhe Chen, Rahul Chandan, Alexandre Ormiga Galvao Barbosa, Michael Caldara

Cost-Effective Communication: An Auction-based Method for Language Agent Interaction

Yijia Fan, Jusheng Zhang, Kaitong Cai, Jing Yang, Chengpei Tang

iMAD: Intelligent Multi-Agent Debate for Efficient and Accurate LLM Inference

Wei Fan, JinYi Yoon, Bo Ji

S-DAG: A Subject-Based Directed Acyclic Graph for Multi-Agent Heterogeneous Reasoning

Jiangwen Dong, Zehui Lin, Wanyu Lin, Mingjin Zhang

GDBA Revisited: Unleashing the Power of Guided Local Search for Distributed Constraint Optimization

Yanchen Deng, Xinrun Wang, Bo An

ZeRCP: Towards Communication-Efficient Collaborative Perception and Future Scene Prediction via Request-Free Spatial Filtering

Yijie Chen, Yuzhe JI, Haotian Wang, Xiaoyun Qiu, Ying-Cong Chen

Simulating Dispute Mediation with LLM-Based Agents for Legal Research

Junjie Chen, Haitao Li, Minghao Qin, Yujia Zhou, Yanxue Ren

Adversarial Attack on Black-Box Multi-Agent by Adaptive Perturbation

Jianming Chen, Yawen Wang, Junjie Wang, Xiaofei Xie, Yuanzhe Hu

GUI-Eyes: Tool-Augmented Perception for Visual Grounding in GUI Agents

Chen Chen, Jiawei Shao, Dakuan Lu, Haoyi Hu, Xiangcheng Liu

G-UBS: Towards Robust Understanding of Implicit Feedback via Group-Aware User Behavior Simulation

Boyu Chen, Siran Chen, Zhengrong Yue, Kainan Yan, Chenyun YU

Mental Model-based Generation of Lies for Insider Threat Modeling

Brittany Cates, Sarath Sreedharan

A Phase Transition for Opinion Dynamics with Competing Biases

Federico Capannoli, Emilio Cruciani, Hlafo Alfie Mimun, Matteo Quattropani

Efficient Multiagent Planning via Shared Action Suggestions

Dylan M. Asmar, Mykel J. Kochenderfer

When Natural Strategies Meet Fuzziness and Resource-Bounded Actions

Marco Aruta, Francesco Improta, Vadim Malvone, Aniello Murano

Local Guidance for Configuration-Based Multi-Agent Pathfinding

Tomoki Arita, Keisuke Okumura

D2MoRA: Diversity-Regulated Asymmetric MoE-LoRA Decomposition for Efficient Multi-Task Adaptation

Jianhui Zuo, Xuemeng Song, Haokun Wen, Meng Liu, Yupeng Hu

Interest-driven Deep Multi-modal Clustering

Guoliang Zou, Tongji Chen, Sijia Li, Jin Qin, Yangdong Ye

ArchetypeTrader: Reinforcement Learning for Selecting and Refining Learnable Strategic Archetypes in Quantitative Trading

Chuqiao Zong, Molei Qin, Haochong Xia, Bo An

Share Your Attention: Transformer Weight Sharing via Matrix-based Dictionary Learning

Magauiya Zhussip, Dmitriy Shopkhoev, Ammar Ali, Stamatios Lefkimmiatis

NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation

Yuanxin Zhuang, Dazhong Shen, Ying Sun

Prior Refinement Is Better: Diffusion-Driven Graph Harmonization for Federated Graph Learning

Shuman Zhuang, zhihao wu, Wei Huang, Luojun Lin, Jia-Li Yin

Online Multi-Relational Clustering with Dominant View Mining

Zhengzhong Zhu, Pei Zhou, Dongsheng Wang, Li Cheng, Jiangping Zhu

Dual Graph Disambiguation for Multi-Instance Partial-Label Learning

Zhen Zhu, Kai Tang, Songhe Feng, Yixuan Tang, Haobo Wang

RoS-Guard: Robust and Scalable Online Change Detection with Delay-Optimal Guarantees

Zelin Zhu, Yancheng Huang, Kai Yang

MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions

Yanxu Zhu, Shitong Duan, Xiangxu Zhang, Jitao Sang, Peng Zhang

Conditional Diffusion Model for Multi-Agent Dynamic Task Decomposition

Yanda Zhu, Yuanyang Zhu, Daoyi Dong, Caihua Chen, Chunlin Chen

PSPO: Prompt-Level Prioritization and Experience-Weighted Smoothing for Efficient Policy Optimization

Xinxin Zhu, Ying He, Haowen Hou, Ruichong Zhang, Nianbo Zeng

Hierarchical Semantic Alignment for Image Clustering

Xingyu Zhu, Beier Zhu, Yunfan Li, Junfeng Fang, Shuo Wang

QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation

Xinguo Zhu, shaohui peng, Jiaming Guo, Yunji Chen, Qi Guo

Dual-Horizon Interest Model for Unified Search and Recommendation

Wenhao Zhu, Yuxin Li, Shuo Wang, Hao Wang

Explore How to Inject Beneficial Noise in MLLMs

Ruishu Zhu, Sida Huang, Ziheng Jiao, Hongyuan Zhang

Physics-Informed Koopman Neural Estimation of the Heston Model from High-Frequency Observations

Qiuming Zhu, Haoran Kou, Linyi Qian, Chunqi Shi, Xianyi Wu

UniAPO: Unified Multimodal Automated Prompt Optimization

Qipeng Zhu, Yanzhe Chen, Huasong Zhong, Jie Chen, Yan Li

Frequency-Dependent Scheduled Schrödinger Bridge for Underwater Acoustic Signal Denoising

Pengsen Zhu, Lina Gao, Yulong Huang, Lifeng Liu, Zeru Yang

Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting

Ziyu Zhou, Yiming Huang, Yanyun Wang, Yuankai Wu, James Kwok

On the Robustness of Bandit Multiple Testing

Zhengyu Zhou, Weiwei Liu

Rademacher Complexity for Distributionally Robust Learning

Zhengyu Zhou, Weiwei Liu

Dynamic Weight Adaptation in Spiking Neural Networks Inspired by Biological Homeostasis

Yunduo Zhou, Bo Dong, Chang Li, Yuanchen Wang, Xuefeng Yin

PQDA:Policy-Aligned Q-Consistency Meets Decoupled Augmentation for Generalizable Visual RL

Yun Zhou, Yuqiang Wu, Chunyu Tan

What, Whether and How? Unveiling Process Reward Models for Thinking with Images Reasoning

Yujin Zhou, Pengcheng Wen, Jiale Chen, Boqin Yin, Han Zhu

Logic Unseen: Revealing the Logical Blindspots of Vision-Language Models

Yuchen Zhou, Jiayu Tang, Shuo Yang, Xiaoyan Xiao, Yuqin Dai

Beyond Sharpness: The Role of Nonuniformity in Generalization

Yingcong Zhou, Pingfan Wu, Li Wang, Zhiguo Fu, Fengqin Yang

Fault Diagnosis of Irregular Sequences by Adjoint Learning in Continuous-Time Model Space

Xiren Zhou, Chuyang Wei, Ao Chen, Shikang Liu, Xiangyu Wang

Text-based Aerial-Ground Person Retrieval

Xinyu Zhou, Yu Wu, Jiayao Ma, Wenhao Wang, Min Cao

Hierarchical Dataset Selection for High-Quality Data Sharing

Xiaona Zhou, Yingyan Zeng, Ran Jin, Ismini Lourentzou

ITPP: Learning Disentangled Event Dynamics in Marked Temporal Point Processes

Wang-Tao Zhou, Zhao Kang, Ke Yan, Ling Tian

Structure Detection for Contextual Reinforcement Learning

Tianyue Zhou, Jung-Hoon Cho, Cathy Wu

Hierarchical Cross-View Alignment for Multi-View Clustering via Decoupled Information Distillation

Taichun Zhou, Siwei Wang, Zhibin Dong, Jiaqi Jin, Ke Liang

DeNC++: Efficient Diffusion-Enhanced Neural Codec for End-to-end Semantic Streaming at the Edge

Qihua ZHOU, Wangjiang Gong, Zili Meng, Yaxiong Xie, Yaodong Huang

MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models

Pengfei Zhou, Xiaopeng Peng, Fanrui Zhang, Zhaopan Xu, Jiaxin Ai

THGB: A Comprehensive Benchmark for Text-attributed Heterogeneous Graphs

Lixin Zhou, Zemin Liu, Yuan Fang, Dan Niu, Jing Ying

Scalable Privacy-Preserving Neural Network Training over Z2k via RMFE-Based Packing and Mixed-Circuit Computation

Hengcheng Zhou

Towards Long-window Anchoring in Vision-Language Model Distillation

Haoyi Zhou, Shuo Li, Tianyu Chen, Qi Song, Chonghan Gao

Inter-Client Dependency Recovery with Hidden Global Components for Federated Traffic Prediction

Hang Zhou, Wentao Yu, Yang Wei, Guangyu Li, Sha Xu

Perturbing to Preserve: Defending Fragile Knowledge in Online Continual Learning

Dulan Zhou, Zijian Gao, Kele Xu

SAOT: An Enhanced Locality-Aware Spectral Transformer for Solving PDEs

Chenhong Zhou, Jie Chen, Zaifeng Yang

Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations

Bohan Zhou, Haoqi Yuan, Yuhui Fu, Zongqing Lu

TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization

Yuan-Ting Zhong, Ting Huang, Xiaolin Xiao, Yue-Jiao Gong

MedGR2: Breaking the Data Barrier for Medical Reasoning via Generative Reward Learning

Weihai Zhi, Jiayan Guo, Shangyang Li

Distributionally Robust Online Markov Game with Linear Function Approximation

Zewu Zheng, Yuanyuan Lin

First-Order Error Matters: Accurate Compensation for Quantized Large Language Models

Xingyu Zheng, Haotong Qin, Yuye Li, Haoran Chu, Jiakai Wang

Sarcopenia Assessment Model Based on Dual-Source Modal Graph

Wenxian Zheng, Zhi Chen, Qiaoqin Li, Rongyao Hu, Yongguo Liu