Multi-Agent LLM Systems

LLM: Large Language Model

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85 papers in the last four weeks, up 107% on the four weeks before. 0.8% of all new papers.

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Latest papers 665

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AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems
May 9, 2026Boxuan Zhang, Jianing Zhu, Zeru Shi +2Multi-Agent LLM Systems AI Agent Monitoring
Rutgers University · The University of Texas at Austin · Purdue University
Iterative Critique-and-Routing Controller for Multi-Agent Systems with Heterogeneous LLMs
May 9, 2026Wenzhi Fang, Liangqi Yuan, Guangchen Lan +2Multi-Agent LLM Systems Multi-Agent Coordination
Purdue University · Yonsei University
MIND-Skill: Quality-Guaranteed Skill Generation via Multi-Agent Induction and Deduction
May 9, 2026Yixuan Li, Mingshu Cai, Ziyang Xiao +3Multi-Agent LLM Systems LLM Agent Skill Learning
1Nanyang Technological University · 2Waseda University · 3Zhejiang University +1
TraceFix: Repairing Agent Coordination Protocols with TLA+ Counterexamples
May 8, 2026Shuren Xia, Qiwei Li, Taqiya Ehsan +1Multi-Agent LLM Systems Multi-Agent Coordination
Rutgers University Piscataway, NJ, USA
GASim: A Graph-Accelerated Hybrid Framework for Social Simulation
May 8, 2026Xuan Zhou, Yanhui Sun, Hantao Yao +3Multi-Agent LLM Systems Human Behavior Simulation
University of Science and Technology of China · BASIS International School Park Lane Harbour
HMACE: Heterogeneous Multi-Agent Collaborative Evolution for Combinatorial Optimization
May 8, 2026Yuping Yan, Jirui Han, Fei Ming +2Multi-Agent LLM Systems Multi-Agent System Optimization
School of Engineering Westlake University
Insider Attacks in Multi-Agent LLM Consensus Systems
May 8, 2026Xiaolin Sun, Zixuan Liu, Yibin Hu +1Multi-Agent LLM Systems Multi-Agent Systems
Department of Computer Science, Tulane University, New Orleans, United States of America.
Dual-Agent Co-Training for Health Coaching via Implicit Adversarial Preference Optimization
May 7, 2026Da Long, Lingyi Fu, Diya Michelle Rao +3Adversarial Training Multi-Agent LLM Systems
Kahlert School of Computing University of Utah · Department of Health and Kinesiology University of Utah
Conformal Agent Error Attribution
May 7, 2026Naihe Feng, Yi Sui, Shiyi Hou +2Agent Failure Analysis AI Agent Reliability
Dalhousie University · Halifax, NS, Canada · Layer 6 AI +1
MASPO: Joint Prompt Optimization for LLM-based Multi-Agent Systems
May 7, 2026Zhexuan Wang, Xuebo Liu, Li Wang +4Multi-Agent LLM Systems Multi-Agent System Optimization
Institute of Computing and Intelligence, Harbin Institute of Technology, Shenzhen, China.
NeuroAgent: LLM Agents for Multimodal Neuroimaging Analysis and Research
May 7, 2026Lujia Zhong, Yihao Xia, Jianwei Zhang +4Multi-Agent LLM Systems LLM Agent Orchestration
1Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California · 2Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California · 3Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California
Sustaining Cooperation in Populations Guided by AI: A Folk Theorem for LLMs
May 7, 2026Jonathan Shaki, Eden Hartman, Sarit Kraus +1Multi-Agent LLM Systems Multi-Agent Coordination
Bar-Ilan University, Israel
Beyond Task Success: Measuring Workflow Fidelity in LLM-Based Agentic Payment Systems
May 7, 2026Donghao Huang, Joon Kiat Chua, Zhaoxia WangFinancial Services Multi-Agent LLM Systems
School of Computing and Information Systems, Singapore Management University, 80 Stamford Rd, Singapore 178902, Singapore · Research and Development, Mastercard, 4250 Fairfax Dr, Arlington, VA 22203, USA
AgenticPrecoding: LLM-Empowered Multi-Agent System for Precoding Optimization
May 7, 2026Zijiu Yang, Zixiang Zhang, Shunpu Tang +2Multi-Agent LLM Systems Large Language Model-Guided Optimization
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China
VibeServe: Can AI Agents Build Bespoke LLM Serving Systems?
May 7, 2026Keisuke Kamahori, Shihang Li, Simon Peter +1Multi-Agent LLM Systems LLM Serving
University of Washington
Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems
May 7, 2026Huchen Yang, Xinghao Dong, Dan Negrut +1Multi-Agent LLM Systems Multi-Agent System Optimization
University of Wisconsin–Madison
Design Conductor 2.0: An agent builds a TurboQuant inference accelerator in 80 hours
May 6, 2026The Verkor Team, Ravi Krishna, Suresh Krishna +1AI Accelerator Inference Multi-Agent LLM Systems
The Verkor Team
SODE: Analyzing Social Dynamics in LLM Agents
May 6, 2026Inseo Jung, Yoonseok Oh, Kyungryul Back +2Multi-Agent LLM Systems LLM Agent Evaluation
Department of Computer Science, Korea University · Kakao Mobility
Evolving Idea Graphs with Learnable Edits-and-Commits for Multi-Agent Scientific Ideation
May 6, 2026Jiangwen Dong, Bo Li, Wanyu LinMulti-Agent LLM Systems Scientific Hypothesis Generation
1The Hong Kong Polytechnic University · 2The Hong Kong University of Science and Technology
SensingAgents: A Multi-Agent Collaborative Framework for Robust IMU Activity Recognition
May 6, 2026Naiyu Zheng, Tianlong Yu, Haochen Yin +3Multi-Agent LLM Systems Human Activity Recognition
City University of Hong Kong Hong Kong · Hubei University China · The Chinese University of Hong Kong Hong Kong +1
Material Database Agent: A Multimodal Agentic Framework for Scientific Literature Mining
May 5, 2026Achuth Chandrasekhar, Omid Barati Farimani, Radheesh Sharma Meda +1Multi-Agent LLM Systems Document Information Extraction
Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA · Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA · Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA +2
Governed Collaborative Memory as Artificial Selection in LLM-Based Multi-Agent Systems
May 5, 2026Diego F. Cuadros, Abdoul-Aziz Maiga, Helen Meskhidze +1Multi-Agent LLM Systems LLM Agent Memory
Digital Epidemiology Laboratory, Digital Futures, University of Cincinnati, Cincinnati, OH, USA · Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA · Center for Humanities and Technology (CHaT), University of Cincinnati, Cincinnati, OH, USA +2
Physics-Grounded Multi-Agent Architecture for Traceable, Risk-Aware Human-AI Decision Support in Manufacturing
May 5, 2026Danny Hoang, Ryan Matthiessen, Christopher Miller +5Manufacturing Multi-Agent LLM Systems
School of Mechanical, Aerospace, and Manufacturing Engineering, University of Connecticut, Storrs, CT, USA · Connecticut Center for Advanced Technology, East Hartford, CT, USA · Quinnipiac University, Hamden, CT, USA +1
QKVShare: Quantized KV-Cache Handoff for Multi-Agent On-Device LLMs
May 5, 2026Pratik Honavar, Tejpratap GVSLMixed-Precision Quantization Multi-Agent LLM Systems
Evaluating Generative Models as Interactive Emergent Representations of Human-Like Collaborative Behavior
May 5, 2026Shinas Shaji, Teena Chakkalayil Hassan, Sebastian Houben +1Multi-Agent LLM Systems Theory of Mind
Institute of AI and Autonomous Systems (A2S), Hochschule Bonn-Rhein-Sieg, Grantham-Allee 20, Sankt Augustin, 53757, Germany. · 3Fraunhofer Institute for Intelligent Analysis and Information SystemsMay (IAIS), Schloss Birlinghoven, Sankt Augustin, 53757, Germany. · 2Division for Systems and Control, Chalmers University of Technology, Chalmersplatsen 1, Gothenburg, 41296, Sweden.
LLM-ADAM: A Generalizable LLM Agent Framework for Pre-Print Anomaly Detection in Additive Manufacturing
May 5, 2026Ahmadreza Eslaminia, Chuhan Cai, Cameron Smith +5Multi-Agent LLM Systems Industrial Anomaly Detection
Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA · Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA · Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA +1
Coordination as an Architectural Layer for LLM-Based Multi-Agent Systems
May 5, 2026Maksym Nechepurenko, Pavel ShuvalovMulti-Agent LLM Systems Multi-Agent Coordination
Devnull FZCO · Dubai, UAE
From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
May 4, 2026Aritra Roy, Kevin Shen, Andrew MacBride +350Multi-Agent LLM Systems AI Agents for Scientific Discovery
ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration
May 4, 2026Ruofeng Yang, Yongcan Li, Shuai LiAI Agent Reliability Multi-Agent LLM Systems
Shanghai Jiao Tong University · Shanghai Innovation Institute
Reinforcement Learning for LLM-based Multi-Agent Systems through Orchestration Traces
May 4, 2026Chenchen ZhangMulti-Agent LLM Systems LLM Agent Orchestration
Independent Researcher

May 9, 2026, cs.CLJ/K move · Enter open · S save

AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems

Boxuan Zhang, Jianing Zhu, Zeru Shi, Dongfang Liu+1

Rutgers University · The University of Texas at Austin · Purdue University

Multi-Agent LLM Systems AI Agent Monitoring

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LLM-based multi-agent systems are increasingly deployed on long-horizon tasks, but a single decisive error is often accepted by downstream agents and cascades into trajectory-level failure. Existing work frames this as \emph{post-hoc failure attribution}, diagnosing the responsible agent and step after the trajectory has ended. However, this paradigm forfeits any opportunity to intervene while trajectory is still unfolding. In this work, we introduce AgentForesight, a framework that reframes this problem as online auditing: at each step of an unfolding trajectory, an auditor observes only the current prefix and must either continue the run or alarm at the earliest decisive error, without access to future steps. To this end, we curate AFTraj-2K, a corpus of agentic trajectories across Coding, Math, and Agentic domains, in which safe trajectories are retained under a strict curation pipeline and unsafe trajectories are annotated at the step of their decisive error via consensus among multiple LLM judges. Built on that, we develop AgentForesight-7B, a compact online auditor trained with a coarse-to-fine reinforcement learning recipe that first equips it with a risk-anticipation prior at the failure boundary on adjacent safe/unsafe prefix pairs, then sharpens this prior into precise step-level localization under a three-axis reward jointly targeting the what, where, and who of an audit verdict. Across AFTraj-2K and an external Who&When benchmark, AgentForesight-7B outperforms leading proprietary models, including GPT-4.1 and DeepSeek-V4-Pro, achieving up to +19.9% performance gain and 3

\times

lower step localization error, opening the loop from post-hoc failures detection to enabling deployment-time intervention. Project page: https://zbox1005.github.io/agent-foresight/

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Latest papers 665