Accepted Papers

• A-GRAG: An Agentic GraphRAG Framework with Collaborative Agents for Temporal-Aware Multi-Hop Reasoning

  Haowei Mo, Fangling Leng, Yubin Bao, Tiancheng Zhang

• Accelerating Meta-Reinforcement Learning with Predictive Curriculum Scheduling

  Fangjie Yang, Jing Yang, Yun Qu, Xingxing Liang, Guanlin Wu, Qi Wang, Longfei Zhang

• ADRO: Adaptive Dual-Timescale Response Optimization for Transfer Reinforcement Learning across Diverse Opponent Styles

  Daojie Guo, Yixing Lan, Tenglong Liu, Long Cheng, Xuhui Xie, Xin Xu

• Agentic Code Repair via Execution-Grounded Selective Planning

  Wei Wei, Teng Wang, Lin Li, Lijun Zhang

• AGES: Audit-Gated Evaluation Scheduler for Combinatorial LLM Context Evaluation

  Zhu Weilin, Mu Weimin, Fan Liu, Jian Chen, ChengHanchang, Weiping Wang, Yun Zhang

• Aligning Context and Formulas: Multi-Stage Fine-Tuning for Large Language Models with A Novel Dataset ContextFormulas50K

  Xinyu Yin, Han Xiao

• Applicability-Aware Evidence Reasoning for Knowledge Graph-Enabled Agents with Proposition Graphs

  Hejin Fang, Huihui Shao, Fanyu Wang, Zhenping Xie

• AutoMind: Adaptive Knowledgeable Agent for Automated Data Science

  Yujie Luo, Yixin Ou, Jingsheng Zheng, Lanning Wei, Zhuoyun Yu, Shuofei Qiao, Jintian Zhang, Da Zheng, Yuren Mao, Yunjun Gao, Huajun Chen, Ningyu Zhang

• Autonomous Prompt Evolution Framework for Combinatorial Auctions

  Haihui Zang, Heng Song

• Budgeted Guidance Refresh Control: A Paired Throughput--Call Study in Lifelong Multi-Agent Path Finding

  Xiaoxiao Ma, Quan Fang, Xiankun Jiang

• Byzantine-Resilient Localized Policy Optimization with Self-Centered Parameter Clipping

  Tianyu Zhu, Wenjie Ye, Xinli Shi, Xiangping Xu

• C-PAQ: A Counterfactual Provenance-Aware Quorum for Echo-Resistant Multi-Agent Fact Verification

  Lingdong Meng, Zeyu Song, Yu Guo

• CACR: A Reconstructible Context Plane for Cloud-Native Agent Serving

  Wujian Huang, Xueyan Yang, Yanting Zhang, Wenhai Wang

• Candidate Support Estimation and Evidence Routing for Large Language Models from Single-Generation Observations

  Shiyu Zhu, Hao Chen, Yichen Liu, Tang Shouyuan

• CARVS: A Congestion-Aware Algorithm for Online Multi-Agent Pickup-and-Delivery in Human-Collaborative Warehouses

  Chaoran Li, Zeyuan Zhao, Shao Zhang

• CGPST: A Multi-Step Creativity Benchmark for Complex Creative Problem-Solving of Large Language Models

  Xiangyu Wang, Jin Wu, Wei Xia, Haoran Shi, Chanjin Zheng

• ChronoMem: When Relevance Is Not Validity in Long-Term Assistant Memory

  Yujie Shen

• Chronos-Lite: Causality-Aware Message Integration for Order-Robust LLM Agent Teams

  Chenxu Zhu, Zhiran Wang

• Co-opetition Equilibrium in Adversarial Team Games with Heterogeneous Utilities

  Youzhi Zhang

• Collab-Solver: Collaborative Solving Policy Learning for Mixed-Integer Linear Programming

  Siyuan Li, Yifan Yu, Zhihao Zhang, Mengjing Chen, Fangzhou Zhu, Tao Zhong, Jianye Hao, Peng Liu

• CoMAT A Collaborative Multi-Agent Framework for Black-Box Jailbreak Attacks via Attack-Trajectory Learning

  Fumin Cai, Jianing Li, Hao Li, Aimin Hao

• Conditional Best-Agent Discovery with Horizon-Limited Peer Audits: Overshoot Closure, Whole-Batch Path Certification, and Scoped Query Barriers

  Qifan Yang, Yujiao Peng

• Constitutional Filtering of Manipulative Influence in Grounded LLM Multi-Agent Systems

  J. de Curtò, I. de Zarzà

• Control Under Compression: Reliability Frontiers for Tool-Using Agents

  Yinghan Hou, Zongyou Yang

• Coordination Graph Memory for Structure-Aware Offline-to-Online Multi-Agent Reinforcement Learning

  Chenxing Li, Chin-Jui Chang, Yinlong Liu, Yichen Zhao, Cong Wang, Jan R. Seyler, Shahram Eivazi

• Correlated Forecast Errors and the Bullwhip Effect: Evidence from Time-Series Foundation Models in Decentralized Supply Chains

  Yunyang Zhi, Haoran Zhang, Yuhang Li

• CreditTrace: Budgeted Counterfactual Replay for Root-Cause Attribution in Tool-Using Agent Graphs

  Taoda Zou, Yaokai Guo, Zhiwen Zeng, Jing Zhang

• CRSR: Complexity- and Risk-Aware Step-Level Model Routing for Multi-Step LLM Agents

  Yongzhuang Xiao

• DACE: Decoupled Adaptive Configuration Escalation for Agentic Image Generation

  Ruiqi Zhou, Qian'ang Mao

• DAGGuard: Budgeted Release-Gate Verification for Manager-Agent Workflows

  Juanna Zhai, Chao Tan, Kang Wu, Mengjiao Kai

• Depth or Width? Series–Parallel Oversight of LLM Agents under Correlated Errors and Protocol-Dependent Cascades

  HikaruMatsuoka

• Diagnosing Memory-Unit Granularity in Long-Term Memory for LLM Agents

  Zhiqiang Mo, Qifeng Liang, Xiaohua Xu

• Distributed Best-Tool Identification under Credentialed Statistical-Record Custody

  Yujiao Peng, Qifan Yang

• Distributed-Utility Team Bandits: Learning When No Agent Observes the Team Reward

  Qifan Yang, Yujiao Peng

• Does Synthetic Data Generation Strategy Affect Agent Memory Evaluation?

  Sebastian-Antonio Toma, Oliviu Matei

• Does the Game Need the Science? Validity-First Evidence Audits for Finite Multi-Agent Science-Communication Games

  Zimo Zhang, Chunxuan Gao

• Don't Trust Retrieved Evidence: Falsification Testing for Robust Retrieval Agents

  Shunyuan Zhou, Jiayi Han, Zekun Xu, Haiying Zhao

• DPI-CoT: Deductive Path Refinement for Instance-Aware Automated Chain-of-Thought Reasoning

  Mengyao Wang, Dian Huang, Junquan Gu, Shaorong Xie

• Dual-Channel Service Operations with AI Agents: Centralized Allocation versus Customer Self-Selection

  Ruiqi Zhou

• Dynamics-Aware Federated Learning for Privacy-Aware Distributed Behavioral Risk Screening

  Muhua Tan, Zhaohui Yuan

• E2P: Effective and Efficient Planning for Multi-Agent Robots with Large Language Models

  Chenbing Wang, Shitong Luo, Sheng Zhou

• ECHO-Code: Execution-Coupled Hierarchical Orchestration for Reliable Project-Level Code Generation

  Danyang Zhang

• Efficient Teammate Adaptation with Language-assisted Progressive Intention Alignment

  Zhichao Wu, Ruiqi Xue, Yi-Chen Li, Lei Yuan, Yang Yu, Jing-Wen Yang

• Embodied Science Agents: Making Embodied Experimental Design Learnable

  Yihang Chen, Zhongwei Yu, Yang Li, Xingyu Lu, Hongxia Yu, Jun Wang

• EngineTailor:Minimal Complete Inference Engines for Agent-Driven Optimization

  Haiyan Qin, Rui Wan, Jinchen Han, Guohao Dai, Shulin Zeng, Yu Wang, Wang Kang

• Enhancing Communication Efficiency for FedLLM Training via Loss-Gap Weighted Router Aggregation

  Yi Hou, Chen Yang, Danyang Zheng, Fei Teng

• Entropy-Guided and Exploration Rectification for Agentic Reinforcement Learning

  Haozhe Sun, Hengtong Lu, Bingwei Li, Zheng Yang, Huimin Ren, Xiaojie Wang, Caixia Yuan

• EvoMAS: Learning Execution-Time Workflows for Multi-Agent System

  Chengdong Xu, Kaiqiang Ke, Ziheng Liu, Jiaqi Wei, Zibo Shao, Jungang Li, Weile Guo, Yiling Wu, Chao Yu

• EvoSense: A Self-Evolving Multi-Agent System for Multi-Task Remote Sensing Interpretation

  Yimeng Wang, Ao Xu, Ziyou Guo, Tieru Wu

• Exact Locality of Coalitional-Stability Auditing in Graphical Games

  Weihan Long, Yujiao Peng

• Fair Dynamic Auctions via Equity-Constrained Pivot Mechanisms

  Meihong Zhang, Mengxiao Zhang, Bakh Khoussainov, Jiamou Liu

• Faithful, Not Corrective: Model Capability Governs Message-Format Effects in Multi-Hop Agent Relays

  Sicheng Zeng

• Feasibility Propagation: Resolving Cost Credit Assignment in Almost Sure Constrained RL

  Chenyang Wu, Mingjun Cao, Zongzhang Zhang, Tianyu Wang, Zhilin Zhang, Chuan Yu, Jian Xu, Bo Zheng

• Federated Diffusion Priors with Local Forward-Model Adaptation for Heterogeneous Snapshot Compressive Imaging

  Ge Wang, Xin Yuan

• Flow Policy Optimization with Distributional Value Guidance for Reinforcement Learning

  Ruijie Hao, Longfei Zhang, Xingxing Liang, Guangquan Cheng

• From Local Proposals to Controller-Facing Group Plans: CoMPAct for Action-Coupled LLM Agents

  Lingfeng Zhou, Shuaixing Chen, Jin Gao, Dequan Wang

• From Probe Scores to Alarm Policies: Operational Validity of Activation Monitors for Language-Model Agents

  Xueping Gao

• From Questions to Missing Facts: Entity-Anchored Retrieval for Multi-Hop Question Answering

  Congcong Tian, Kang Yao, Yufei Han, Wang Fei, Xu Chu

• Generation-Observable Representation for Single-Pass Reliability Estimation in Large Language Models

  Shiyu Zhu, Yichen Liu, Xiangjinbao, Tang Shouyuan

• Ground, Diagnose, and Refine: A Hierarchical Perception Agent for Aerial Visual Grounding

  Qin Liu, Hao Yu, Qize Guo, Chao Yang, Chenyang Wang

• GSR-Agent: Graph-Guided Solver Repair for Inference-Time Self-Improvement of Reinforcement Learning Schedulers

  Zixiao Luo, Dandan Liu, Yi Chai

• Guard Before You Remember: Receiver-Guided Cached Prompt Relay for Decentralized Continual Learning

  Ziming Wang, Jianrong Wang, Dengcheng Hu, Qi Li, Shiwen Lu

• HERO: Hypervolume-guided Exploration and Utility Gap Rescue Optimization for Multi-Objective Reinforcement Learning

  Hao Tang, Kai Xu, Guanxun Zhao, Zhicheng Wang, Gang Wei

• HyperFP: Fixed-Point Credit Assignment over Hypergraphs for Cooperative MARL

  Shuai Jin, Yuhua Qian, Feijiang Li, Guoqing Liu

• HypeTree: Neuro-Symbolic Decision Fusion and Claim-Level Verification for Explainable Poker Agents

  Yuxiang Zhang, Heng Song, Junwu Zhu

• Identifiability Before Replay: Agent Workflow Recovery under Dependency Loss

  Guoqing Zhang

• Improving Collaboration in Multi-Agent Reinforcement Learning via Limited Egoistic Altruism Preference

  Guang Yang, Tianpei Yang, Qixin Long, Xingguo Chen, Yang Gao

• Incentives for Client-Diversity Caps in Proof-of-Stake Networks

  Manvir Schneider

• JudgeOrbit: Calibrating LLM Judges with Functional-Equivalence Orbits

  Yujie Shen

• Keeping the Thread in RAG: How Much Multi-Hop ``Retrieval Failure'' Is Recoverable Search Drift?

  Jiaqi Wei, Wenxuan Huang, Chengdong Xu, Xiang Zhang, Wanli Ouyang

• Learning to Observe-then-Predict: Efficient Multi-agent Collaboration via Latent Dynamics Learning

  Zhaohan Feng, Zhijie Liu, Lei Yuan, Gang Wang, Yang Yu

• LESM: Reliability-Gated Latent Episodic Strategy Memory for Cooperative Multi-Agent Reinforcement Learning

  Yuran Gong, Jinqiao Wang

• LLM-MANDy: Agentic Discovery of Sparse Tensor-Product Representations for Multidimensional Nonlinear Dynamics

  Junchen Wang, Rongye Shi, Haoheng Wu, Bingrun Chen, Tianchen Zhu, Wenjun Wu

• MAC-Tree：Task-Adaptive Graph-Constrained Multi-Agent Search for Multi-Hop Question Answering

  Zhaoliang Zhang, Bo Tian, Shuai Lei, Yuan Huang

• MARA: Flow-Matching-Guided Multi-Agent Resource Allocation for Computational Resource Efficient Learning

  Hanye Zhao, Muning Wen, Yong Yu, Weinan Zhang

• MARFT: Multi-Agent Reinforcement Fine-Tuning

  Junwei Liao, Muning Wen, Jun Wang, Weinan Zhang

• Meta-CBPO: Contrastive Context Engineering for Shared System-Prompt Optimization

  Yi Jiang, Yongli Wang

• More Papers More Slots: AI-Enabled Sybil Attacks in Peer Review

  Zhicheng Du, Zihe Wang

• Motif-Risk-Aware Distributed Coordination for Fragmentation-Resilient Multi-Agent Systems

  Xie Guangqiang, Ruikai Chen, Sicheng Zhao, Yang Li, Xiaohui Li

• Multi-modality Stealthy Backdoor Attack on Medical Visual-Language Model under Federated Pre-training

  Zhengkai Yan, Shiting Wen, Dongang Wang, Fanyi Wang, Haotian Hu, Zhiwang Zhang

• NegoMerge: Resolving Silent Semantic Merge Conflicts via Execution-Gated Multi-Agent Negotiation

  Liran Wang, Zhoujun Li

• Order-Preserving Trajectory Reuse with Selective Replanning for Lifelong Multi-Agent Path Finding

  Xueyuan Wen, Zhoutao Zhang, Zhixin Zhang, Chengzhen Kuang, Lei Shang, Zhen Wang

• Owl-Gaze: A Zero-Shot PTZ Tracker with Tightly-Coupled Perception and Control

  Zhikang Jiang, Lihua Zheng, Yang Shi, Yaohua Wang

• ParaCiteSlide: Paragraph Evidence Binding for Agentic Presentation Generation

  Shuaiwei Zhang, Yuhan Lin, Zhongtian Hua, Yi Luo, Yingjie Han, Lei Li

• Parallelism or Concession? Concurrency-Aware Procurement Negotiation for Agentic Commerce

  Xiaolin Xu, Donghao Zhu

• PerfectDan: High-Performance AI for GuanDan from End-to-End Reinforcement Learning

  Caixin Cai, Chao Yu, Zijian Fang, Yucong Zhang

• PhyWorld: Unified Semantic and Physical Reasoning for Physics-Native 3D Scene Generation

  Chao Shen, Yunfan Zhou, Zhihai Wang, Xijun Li, Jianguo Yao, Haibing Guan

• R-DOCP: Conserving Contract-Defined Responsibility in Multi-Agent Tool Use

  Yikai Zhang, Guojunling, Qirui Chen, Dong Jin, Quan Zheng, Shuangwu Chen

• RAAC: A State-Aware Retrieval-Aided Adversarial Commentary Attack on Discussion-Based LLM Multi-Agent Systems

  Yuhao Zhao, Cheng Xie

• Rank Without an Oracle: Deviation-Aware Interaction-Rank Selection from Offline Multi-Agent Logs

  Xiangwu Wang, Chengwei Cao, Hongyuan Tang

• Reachability-Certified Subteam Decomposition for Locally Interacting Multi-Agent MDPs

  Xiangwu Wang, Chengwei Cao, Hongyuan Tang

• REIN: Revision Engineering Infrastructure for Non-Code Assets

  Liran Wang, Zhoujun Li

• Resource-Conditioned Epoch Allocation for Tail-Reliable Personalized Federated Remote Sensing

  Chengfei Xu, Yunrui Jiang

• Revenue Maximization in Diffusion Auctions via Reduced-Form Oracles

  Wenhao Xue, Bin Li, Dengji Zhao

• Revocation Is Not Complete at Receipt: An Executable Outcome Contract for Distributed Agent-Tool Gateways

  Lifei Liu, Haoran Yu, Danping Zhang

• Rewarding the Heroes: Hierarchical Gradient-Based Shapley for Fair Federated Valuation

  Zehua Cheng, Wei Dai, Zhipeng Wang, Jiahao Sun

• RGRL-PID: Reference-Guided Residual Reinforcement Learning with PID for Task-Constrained UAV Laser Evasion

  Jiaxian Liu, Mingkai Li, Xingyu Duan, Ying Zhang

• RMCP-Distill:Residual-Aware Multi-Candidate Preference Distillation

  Zihao Wang, Lin Li, Wei Wei, Lijun Zhang

• RoboGuardian: Fault-Aware Execution and Memory Maintenance for Embodied Agent Harness Frameworks

  Zijie Gao, Chenxu Li, Zixuan Chen, Jiapeng Xu, Wenquan Zhang, Yizhou Zhu, Rongjin Zheng, Xinke Wang, Jieqi Shi, Jing Huo, Yang Gao

• Robust Adversarial Reinforcement Learning with Risk Sensitivity and Critic Consistency Regularization

  Jiaxi Wu, Tiantian Zhang, Yuxing Wang, Yongzhe Chang, Xueqian Wang

• Routing by Auction: Budget-Constrained Multi-LLM Inference

  Ziying Wu, Hongtao Lv, Lei Liu, Lizhen Cui

• SALT-GUI: A Benchmark for Salience- and Turn-Controlled Red-Teaming of Mobile GUI Agents

  Haoxin An, Zihao Bai, Qianyi Wang, Mengfan Xu, Yunpeng Song, Zhongmin Cai, Guojun Xiong, Wentao Chen, Feng Wei

• Scaling Reinforcement Learning via Agent Ensemble

  Yi Ma, Hongyao Tang, Chenjun Xiao, Jinyi Liu

• SciRelay: Calibrated Bid-and-Relay for Communication-Bounded Scientific Evidence Retrieval

  Wenbin Ma

• SEAS: Cost-Sensitive Agent Capability Decision via Sequential Evidence Acquisition

  Yifei Jin, Mingshan Jiang

• SiamFlow-KF: Mitigating Temporal Misalignment for Robust Visual Target Following on Quadrupedal Robots

  Kaiming Xu, Yuehan Wang, Junhao Xiao, Deyu Song, Shuai Wang, Zhiyu Wu, Xiaoxu Zhang, Jian Xu

• SLAM: Slot-based Latent Alignment for Multi-Image Multimodal Named Entity Recognition

  Jia Huang, Shuli Zhao, Yaru Zhao, Binyang Li

• SPACE: State-Guided Workflow and Evidence Management for Multi-Agent Troubleshooting of Cloud Systems

  Ruofei Hou

• SPC: Selective Process Control in Multi-Agent Recommendation

  Jiayan Zhuang, Li-e Wang, Zhigang Sun, Qiuxia Gong, Jinke Xu

• SSGM: A Framework and Evaluation Protocol for Governed Memory in Agentic AI Systems

  Chingkwun Lam, Jiaxin Li, KoPang, Lingfei Zhang, Zhao Kuo

• Stability and Last-Iterate Convergence of Hedge Dynamics with Best-Response Oracles in Zero-Sum Games

  Junyue Zhang, Xinxiang Guo, Yifen Mu

• StylePlan: Movement-Style-Guided Multi-Agent LLM Planning for Quadrupedal Locomotion

  Lin Li, Yuze Yuan, Wei Wei, Jianguo Wu

• Tacit Algorithmic Collusion under Gradient Play: Nash Equilibrium Stabilization via One-Firm Algorithm Redesign

  Junyue Zhang, Yifen Mu

• TAPP: Transparent PII Pseudonymization Between AI Assistants and Cloud LLMs

  Dennis Itzel, Danila Mamontov

• Task as Gradient: Implicit Geometric Embedding for Differentiable World Models of Embodied Agents

  Mingyu Jia, Junchi Yan, Haobin Zhu

• Test Before You Trust: Falsification-Aware Agent Coalitions for Stock Movement Forecasting

  Yuanjian Zhang, Chuanchang Liu, Yifan Yuan, Xiang Xu, Bo Cheng

• The Significance of Domain, Opponent, and Phase Adaptation in Bilateral Automated Negotiation

  Yichen Lv, Long Chen, Sunil Dahal, Katsuhide Fujita, Shengbo Chang, Zigao Wu

• The Temperature an Adversary Would Choose: Break-Even Temperatures and the Price of Auditing Decentralized LLM Inference

  Krishna Harish

• Threshold Intervention Audits for Hidden Coalitions in Nominally Cooperative DCOPs

  Weihan Long, Yujiao Peng

• Topology-Aware Rollout Correction for Long-Horizon Power-Grid Dynamics Prediction

  Hao Wu, Xiangyu Zhang, Feng Liu, Yanjie Wang, Hanbo Kou, Faguo Wu, Xiao Zhang

• TradeWar: A Benchmark for Execution-Grounded Trade Negotiation with Adaptive LLM Agents

  Ruirui Yang, Xiangyu Kong, Xia Hou

• TriFuse-Mem: Validity-Constrained Associative Retrieval over Versioned Agent Memory

  Zhuoran Liang, Xiaoyan Kui, Sihao Wang

• Unifying Multifaceted Identities: Communication-Efficient Distributed Learning on Heterogeneous Graphs

  Xiaoyi Fu, Xinhu Zheng, Zhen Hao Wong, Yin Nan, Quanming Yao, Liuqing Yang, Yuan Yao

• URGENT: Uncertainty-guided Adaptive Refinement for Grounding in GUI Agents

  Changyi Hao, Bin Ji, Xiaodong Liu, Shasha Li, Ma Jun, Jie Yu

• Utility-Aware Uncertainty-Gated World Models for Sample-Efficient Reinforcement Learning

  QR Li

• Well-Typed Agents Don't Deadlock: Session Types for MCP and A2A Composition

  Mohammed Imran Khan, Manju Khanna, Abhishek Shivkumar, Tuhin Sharma, Adinarayana Sakala, Nirav Kumar

• When Chain-of-Thought Hurts: Decoupled Verdict-and-Rationale Learning for Clinical Antibiotic Appropriateness Assessment

  Zijie Zhou, Yijian Chen, Wang Bei, Zhao Wang, Guoming Wang

• When Does Adaptive Grounding Help Agent Convention Reconciliation? Trees, Abelian Symmetries, and an Exact Triangle Separation

  Weihan Long, Yujiao Peng

• When Reasoning Fails to Stop: Distraction-Induced Non-Termination as an Overthinking Failure in Reasoning LLMs

  Weiye Dai, Liming Nie

• When Tool Retrieval Fails: Calibrating Tool Existence in Noisy Open Registries

  Zhuang Yiheng, Yueying Liu, Wenlong Hou, Weidong Zhao, Liu Xianhui

• Will More Evidence Help? Estimating Pre-Acquisition Action Value with LLM Internal States

  Chaodong Tong, Jiayang Gao, Qi Zhang, Nannan Sun, Lei Jiang, Chengqing Guo, Yanbing Liu

• A Structured Knowledge Infrastructure for Domain-Specific Data Asset Discovery

  Mengdi Chen, Yuanxin Huang, Yulin Jiang

• Aforge: Turning Agent Evaluation into Scalable, Auditable Training Data

  Jing Liao, Yiming Peng, Yubin Chen, Lianke Li

• AgentPanel: Toward a New Paradigm for Human–AI Collaboration in Exploring Scientific Questions

  Zhiyao Cui, Qianyi Wang, Haoyang Yan, Yiqun Zhang, Siyue Ren, Hangfan Zhang, Zelin Tan, Hao Li, Chunjiang Mu, Dexian Cai, Shao Zhang, Chen Zhang, Meng Li, Jianan Chai, Fan Yuting, Zichao Ye, Xiaolei Yang, Xinyao Lu, Yuyang Yu, Wenjie Lou, Xiaosong Wang, Fenghua Ling, Shiyang Feng, Mao Su, Qiaosheng Zhang, Bo Zhang, Lei Bai, Yang Chen, Shuyue Hu

• An Experience Report on Auditing Modeling Agents with Auditing System

  Haoran Hu

• Beyond Multi-Agent Orchestration: Production Infrastructure for a Consumer-Scale Shopping Agent

  Aditya Virmani, Guru Dutt Taluja, Satyen Abrol

• ClinicAgent: An Agentic Harness for Clinical Research with Knowledgeable Skill Orchestration

  Tian-Shuo Liu, Runjie Xu, Dexuan Kong, Junze Li, Yichen Lu, Guo Yu, Yang Yu

• DECAL: Decision-Level Agentic Calibration for Industrial Risk Control Decision Systems

  Yingcui Yan, Qianqiao Liang, Qiyang Zhang, Xumiao Zou, Zhenghong Hao, Huimei He

• FlowSmith: A Workflow-Native Coding Agent for Governed Enterprise Data Pipelines

  JiawenChen, Bowen Li, Yaping Zhang, Changhao Yao, Zhiyuan Hong, Ruilin Zhang, Chi Hu

• From Throughput to Deployment Decisions: Roofline-Based Diagnosis for On-Device LLM Inference

  Zhen Bi, Xueshu Chen, Luoyang Sun, Yuhang Yao, Yan Wang, Qing Shen, Jungang Lou, Cheng Deng

• Inference Everywhere with torch-webgpu: A Portable, Open-Source PyTorch Backend for Distributing Inference Across Heterogeneous Edge Devices

  Jędrzej Maczan

• Scaling Enterprise Intelligence: A Hybrid-Brain Architecture for XiaoHai Agent in Large-Scale Corporate Ecosystems

  Shiqiang Ding, Xinyu Liu, Wei You, Zhongtao Wang, Jianpeng Yin, Renjie Zhao, Rui Guo, Chao Liu

• ToolMigrate: Guarded Runtime Recovery for Agent Tool Calls under API Schema Drift

  Zhiyuan Ai, Yiping Wen, Xin Yan

AI Paper Track papers are non-archival and are not included in the ACM proceedings.

• Beyond the Right Action: LDARA-Credit for Evidence-Grounded Credit Strategy Retirement

  <Agent>, Qiyang Zhang, Yingcui Yan, Qianqiao Liang, Xumiao Zou

• How Valid Are LLM-Simulated Students? A Psychometric Audit of Synthetic Student Populations Against 1.4 Million Real Diagnostic Responses

  <Agent>, Xixiang Zhang

• MAOntoFuse: Ontology-Constrained Multi-Channel GraphRAG Agents for Leak-Free Industrial Fault Diagnosis

  <Agent>, Congcong Tian, Kang Yao, Shengjiang Zhang

• One-Step Scale Invariance Does Not Ensure Fast Recovery in Distance-over-Gradients Optimization

  <Agent>, Xiangwu Wang

• Untrusted Offline Advice in Stochastic Bandits: Universal and Advice-Favorable Guarantees from Decoupled Validation

  <Agent>, Bochao Li