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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Enhancing Operational Safety via Agentic Dialogue Hazard Identification Analysis
Jun 2, 2026Sanjay Das, Ran Elgedawy, Ethan Seefried +2Multi-Agent LLM Systems AI Risk Management
Oak Ridge National Laboratory Oak Ridge, Tennessee, USA
Multi $^2$ : Hierarchical Multi-Agent Decision-Making with LLM-Based Agents in Interactive Environments
Jun 2, 2026Sangeun Park, Minhae KwonMulti-Agent LLM Systems Hierarchical RL
Department of Electrical and Computer Engineering, Sungkyunkwan University, Republic of Korea.
Token Budgets: An Empirical Catalog of 63 LLM-Agent Budget-Overrun Incidents, with an Affine-Typed Rust Mitigation as a Case Study
Jun 2, 2026Sajjad KhanAgent Failure Analysis Multi-Agent LLM Systems
independent researcher; MSc in Data Science, University of the West of England, Bristol, UK
StepFinder: A Temporal Semantic Framework for Failure Attribution in Multi-Agent Systems
Jun 2, 2026Taiyu Zhu, Yifan Wu, Weilin Jin +2Agent Failure Analysis Multi-Agent LLM Systems
Peking University Beijing, China
MeDxAgent: Multi-Agent Consultation for Interactive Medical Diagnosis
Jun 2, 2026Akshat Sanghvi, Naren Akash, Raza Imam +2Multi-Agent LLM Systems Medical Diagnosis
Microsoft Research India · Institute of AI and Innovation, AIG Hospitals · Mohamed bin Zayed University of Artificial Intelligence
The Deliberative Illusion: Diagnosing Factual Attrition and Stance Homogenization in Multi-Agent LLM Deliberation
Jun 2, 2026Herun Wan, Jiaying Wu, Minnan Luo +4Multi-Agent LLM Systems LLM Agent Evaluation
Xi’an Jiaotong University · National University of Singapore · Yunnan University +1
MOC: Multi-Order Communication in LLM-based Multi-Agent Systems
Jun 1, 2026Yao Guan, Lin Wang, Zhihu Lu +3Multi-Agent LLM Systems Multi-Agent System Optimization
Fudan University · Nanjing Normal University · Pennsylvania State University
Dynamic Trust-Aware Sparse Communication Topology for LLM-Based Multi-Agent Consensus
Jun 1, 2026Wanshuang Gou, Zihan LiuMulti-Agent LLM Systems Multi-Agent System Optimization
Chengdu University
Easier to Mislead Than to Correct: Harmful and Beneficial Revision in LLM Conformity
Jun 1, 2026Jiaming Qu, Lucheng Fu, Yibo HuMulti-Agent LLM Systems Normative Conformity in Language Models
Amazon · Georgia Institute of Technology · Illinois Institute of Technology
EvoPool: Evolutionary Programmatic Annotation for Label-Efficient Specialized Supervision
Jun 1, 2026Tianyi Xu, Yaolun Zhang, Xuan Ouyang +1Multi-Agent LLM Systems LLM-Assisted Annotation
Oregon State University · University of Wisconsin–Madison
Early Diagnosis of Wasted Computation in Multi-Agent LLM Systems via Failure-Aware Observability
May 31, 2026Xianyou Li, Weiran Yan, Yichao Wu +4LLM Inference Efficiency Multi-Agent LLM Systems
New York University · New York, NY 10012, USA · Independent Researcher +7
Recognize Your Orchestrator: An Entropy Dynamics Perspective for LLM Multi-Agent Systems
May 31, 2026Junze Zhu, Weihao Chen, Xuanwang Zhang +2Multi-Agent LLM Systems LLM Agent Orchestration
National Key Laboratory for Novel Software Technology, Nanjing University, China
The Ringelmann Effect in Multi-Agent LLM Systems: A Scaling Law for Effective Team Size
May 31, 2026Blaž Bertalanič, Carolina FortunaMulti-Agent LLM Systems Multi-Agent Debate
Jozef Stefan Institute
Agentic Clustering: Controllable Text Taxonomies via Multi-Agent Refinement
May 31, 2026Simon Löwe, Emily SilcockMulti-Agent LLM Systems Clustering
Burning Glass Institute · Harvard University
FALAT: Tracing Failures in LLM Agent Trajectories via Dependency-Guided Search
May 30, 2026Md Nakhla Rafi, Md Ahasanuzzaman, Dong Jae Kim +2Agent Failure Analysis Multi-Agent LLM Systems
SPEAR Lab Concordia University Montreal, Canada · DePaul University Chicago, USA
Scaling Behavior of Single LLM-Driven Multi-Agent Systems
May 30, 2026Jialing Li, Zhouhong Gu, Yin Cai +1Multi-Agent LLM Systems Multi-Agent Coordination
Fudan University
MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation
May 30, 2026Chuanjie Wu, Zhishang Xiang, Yunbo Tang +3KG Construction Multi-Agent LLM Systems
Xiamen University1, 2 · Xiamen University2, 3 · Xiamen University1 +2
Probe Before You Edit: Probing-Guided Molecular Optimization for LLM Agents in Structure-Based Drug Design
May 30, 2026Zaifei Yang, Weiyu Chen, Yaqing Wang +1Molecular Optimization Multi-Agent LLM Systems
1The Hong Kong University of Science and Technology · 2City University of Hong Kong · Beijing Institute of Mathematical Sciences and Applications
Agentic Authoring of Interactive Multiview Visualizations in Genomics
May 29, 2026Astrid van den Brandt, Kiroong Choe, Sehi L'Yi +2Scientific Visualization Data Visualization
Harvard Medical School · Boston College
AutoSci: A Memory-Centric Agentic System for the Full Scientific Research Lifecycle
May 29, 2026Weitong Qian, Beicheng Xu, Zhongao Xie +16Multi-Agent LLM Systems LLM Agent Memory
Peking University, Beijing, China
Used Car Salesbots? Honesty and Credulity of LLMs as Bargaining Agents under Partial Information
May 29, 2026Antonio Valerio Miceli-Barone, Vaishak Belle, Shay B. CohenMulti-Agent LLM Systems Multi-Agent Negotiation
University of Edinburgh
Extending AI for Research to the Humanities: A Multi-Agent Framework for Evidence-Grounded Scholarship
May 29, 2026Yating Pan, Jiajun Zhang, Jun Wang +1Multi-Agent LLM Systems Evidence-Grounded Generation
Department of Information Management, Peking University · Research Center for Digital Humanities, Peking University · Institute for Artificial Intelligence, Peking University +1
Design and Evaluation of Multi-Agent AI Oracle Systems for Prediction Market Resolution
May 29, 2026Tarun KotaMulti-Agent LLM Systems Multi-Agent Debate
Yale University
A Multi-AI-agent Framework Enabling End-to-end Finite Element Analysis for Solid Mechanics Problems
May 28, 2026Titu Ranjan Sarker, Muhammed Jawaad Zulqernine, Ling Yue +3Multi-Agent LLM Systems Structural Mechanics
University of Texas at Arlington, Arlington, TX 76010, USA · Rensselaer Polytechnic Institute, Troy, NY 12180, USA · Institute for Predictive Performance Methodologies, Fort Worth, TX 76118, USA
A Theory-Guided LLM Pedagogical Agent for STEM+C Scaffolding Without Over-Reliance
May 28, 2026Clayton Cohn, Surya Rayala, Siyuan Guo +13Multi-Agent LLM Systems AI in Education
College of Connected Computing, Vanderbilt University, Nashville, Tennessee 37240 · The School for Science and Math at Vanderbilt, Vanderbilt University, Nashville, Tennessee 37240
Can LLM Teams Play What? Where? When?
May 28, 2026Anastasia Kotelnikova, Viktor Byzov, Maria Dolzhenkova +1Multi-Agent LLM Systems LLM Agent Evaluation
Vyatka State University Kirov, Russia · European University at St. Petersburg St. Petersburg, Russia
Locally Coherent, Globally Incoherent: Bounding Compositional Incoherence in Multi-Component LLM Agents
May 28, 2026Anany KotawalaMulti-Agent LLM Systems LLM Agent Reliability
Princeton University, Princeton, NJ, USA
EASE Configuration Facilitates A Reproducible Science of LLM Social Simulations
May 28, 2026Sneheel Sarangi, Maximilian Puelma Touzel, Aurélien Bück-Kaeffer +3Multi-Agent LLM Systems Human Behavior Simulation
McGill University · Mila - Quebec Artificial Intelligence Institute · Université de Montréal +1
Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams
May 28, 2026Yinsicheng Jiang, Liang Cheng, Yeqi Huang +6Multi-Agent LLM Systems LLM Agent Evaluation
University of Edinburgh · 2Microsoft Research
Unifying Temporal and Structural Credit Assignment in LLM-Based Multi-Agent Prompt Optimization
May 28, 2026Wenwu Li, Yuran Song, Mingze Zhao +2Multi-Agent LLM Systems Multi-Agent System Optimization
Tongji University, Shanghai, China · The University of Hong Kong, Hong Kong, China

Jun 2, 2026, cs.AIJ/K move · Enter open · S save

Enhancing Operational Safety via Agentic Dialogue Hazard Identification Analysis

Sanjay Das, Ran Elgedawy, Ethan Seefried, Ryan Burchfield+1

Oak Ridge National Laboratory Oak Ridge, Tennessee, USA

Multi-Agent LLM Systems AI Risk Management Multi-Agent Debate Multi-Agent Systems

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Operational safety in high-stakes domains such as industrial process control, autonomous, and safety-critical systems, demand reliable hazard identification. While large language models (LLMs) have shown promise in automating safety analysis tasks, single-turn, monolithic inference is brittle: it lacks the self-correction, deliberation, and contextual refinement that safety engineers apply iteratively. In this paper, we introduce HAZDIAL, a framework that investigates whether structured agentic dialogue-multi-agent, multi-turn interactions improves the quality of NLP- based hazard identification over single-pass baselines. We systematically compare two dialogue modalities: adversarial debate and constructive discussion, and propose an algorithm-based agentic interaction optimization. We evaluate all configurations against a curated golden dataset using standard classification metrics (accuracy, precision, recall, F1) and novel dialogue metrics. This work advances the intersection of dialogue systems, multi-agent reasoning, and AI safety, providing an empirical evidence for dialogue-driven hazard analysis.

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