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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ORPilot: A Production-Oriented Agentic LLM-for-OR Tool for Optimization Modeling
May 4, 2026Guangrui XieMulti-Agent LLM Systems Large Language Model-Guided Optimization
From Experimental Limits to Physical Insight: A Retrieval-Augmented Multi-Agent Framework for Interpreting Searches Beyond the Standard Model
May 4, 2026Altan Cakir, Ayca YerlikayaMultimodal RAG Multi-Agent LLM Systems
Istanbul Technical University, Department of Data Science and Analytics, Istanbul, Turkey · Istanbul Technical University, Department of Physics Engineering, Istanbul, Turkey
When Stress Becomes Signal: Detecting Antifragility-Compatible Regimes in Multi-Agent LLM Systems
May 4, 2026Jose Manuel de la Chica, Juan Manuel Vera, Jairo RodríguezMulti-Agent LLM Systems AI Agent Evaluation
Santander AI Lab
EngiAgent: Fully Connected Coordination of LLM Agents for Solving Open-ended Engineering Problems with Feasible Solutions
May 4, 2026Xiyuan Zhou, Ruixi Zou, Xinlei Wang +4Multi-Agent LLM Systems Software Engineering Agents
Nanyang Technological University · The Chinese University of Hong Kong, Shenzhen · INSAIT, Sofia University “St. Kliment Ohridski” +2
CyberAId: AI-Driven Cybersecurity for Financial Service Providers
May 3, 2026George Fatouros, Georgios Makridis, John Soldatos +18Multi-Agent LLM Systems Autonomous Cyber Defense
Innov-Acts, Cyprus · University of Piraeus, Greece · Unparallel Innovation, Portugal +7
Catching the Infection Before It Spreads: Foresight-Guided Defense in Multi-Agent Systems
May 3, 2026Yue Ma, Ziyuan Yang, Yi ZhangMulti-Agent LLM Systems Jailbreak Defense
Sichuan University · Nanyang Technological University
CP-SynC: Multi-Agent Zero-Shot Constraint Modeling in MiniZinc with Synthesized Checkers
May 3, 2026Yuliang Song, Eldan CohenMulti-Agent LLM Systems LLM-Based Program Synthesis
Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada
Neuro-Symbolic Agents for Hallucination-Free Requirements Reuse
May 2, 2026Ahmed F. IbrahimMulti-Agent LLM Systems Requirements Engineering
Western University London, Canada
DiagramNet: An End-to-End Recognition Framework and Dataset for Non-Standard System-Level Diagrams
May 2, 2026Jincheng Lou, Ruohan Xu, Jiapeng Li +6Multi-Agent LLM Systems Electronic Design Automation
School of IC, Peking University, Beijing, China · College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China · Department of Precision Instruments, Tsinghua University, Beijing, China +4
FeedbackLLM: Metadata driven Multi-Agentic Language Agnostic Test Case Generator with Evolving prompt and Coverage Feedback
May 2, 2026Kushal Jasti, Tejamani Prashanth Sahu, Rishitha Pentyala +2Multi-Agent LLM Systems Automated Software Testing
Department of Computer Science and Engineering, SRM University AP, India
RunAgent: Interpreting Natural-Language Plans with Constraint-Guided Execution
May 1, 2026Arunabh Srivastava, Mohammad A., Khojastepour +2Multi-Agent LLM Systems Tool-Using Language Agents
Amir · University of Maryland, College Park, MD · 2NEC Laboratories America, Inc.
Agent Capsules: Quality-Gated Granularity Control for Multi-Agent LLM Pipelines
May 1, 2026Aninda RayLLM Inference Efficiency Multi-Agent LLM Systems
The $\textit{Silicon Society}$ Cookbook: Design Space of LLM-based Social Simulations
Apr 30, 2026Aurélien Bück-Kaeffer, Sneheel Sarangi, Maximilian Puelma Touzel +3Multi-Agent LLM Systems Human Behavior Simulation
McGill University · Mila - Quebec Artificial Intelligence Institute · Ubisoft La Forge +2
RoadMapper: A Multi-Agent System for Roadmap Generation of Solving Complex Research Problems
Apr 30, 2026Jiacheng Liu, Zichen Tang, Zhongjun Yang +8Multi-Agent LLM Systems LLM Planning
Beijing University of Posts and Telecommunications · The Hong Kong University of Science and Technology (Guangzhou) · IDEA Research +1
The Inverse-Wisdom Law: Architectural Tribalism and the Consensus Paradox in Agentic Swarms
Apr 30, 2026Dahlia Shehata, Ming LiMulti-Agent LLM Systems Multi-Agent Coordination
University of Waterloo · Canada
Reinforced Agent: Inference-Time Feedback for Tool-Calling Agents
Apr 29, 2026Anh Ta, Junjie Zhu, Shahin ShayandehMulti-Agent LLM Systems Tool-Use Evaluation
Apple
When Roles Fail: Epistemic Constraints on Advocate Role Fidelity in LLM-Based Political Statement Analysis
Apr 29, 2026Juergen DietrichMulti-Agent LLM Systems Stance Detection
TRUST Project — democracy-intelligence.de
Web2BigTable: A Bi-Level Multi-Agent LLM System for Internet-Scale Information Search and Extraction
Apr 29, 2026Yuxuan Huang, Yihang Chen, Zhiyuan He +6Multi-Agent LLM Systems Agentic Search
University of Liverpool · University College London · Huawei Noah’s Ark Lab
Preserving Disagreement: Architectural Heterogeneity and Coherence Validation in Multi-Agent Policy Simulation
Apr 29, 2026Ariel SelaMulti-Agent LLM Systems Multi-Agent Coordination
Tel Aviv University
SecMate: Multi-Agent Adaptive Cybersecurity Troubleshooting with Tri-Context Personalization
Apr 29, 2026Yair Meidan, Omri Haller, Yulia Moshan +4Multi-Agent LLM Systems Cybersecurity
Ben-Gurion University of the Negev
A Systematic Comparison of Prompting and Multi-Agent Methods for LLM-based Stance Detection
Apr 29, 2026Genan Dai, Zini Chen, Yi Yang +1Multi-Agent LLM Systems LLM Evaluation
School of Artificial Intelligence, Shenzhen Technology University, Shenzhen, China
Recursive Multi-Agent Systems
Apr 28, 2026Jiaru Zou, Rui Pan, Ruizhong Qiu +8Multi-Agent LLM Systems Language Modeling
Stanford University · University of Illinois Urbana-Champaign · NVIDIA +1
Pythia: Exploiting Workflow Predictability for Efficient Agent-Native LLM Serving
Apr 28, 2026Shan Yu, Junyi Shu, Yuanjiang Ni +14LLM Inference Efficiency Multi-Agent LLM Systems
UCLA · Alibaba Cloud Computing · Alibaba Group +6
Automated Adversarial Collaboration for Advancing Theory Building in the Cognitive Sciences
Apr 28, 2026Suyog Chandramouli, George Kachergis, Akshay JagadishMulti-Agent LLM Systems Computational Cognitive Modeling
Department of Psychology, Princeton University · Department of Psychology, Stanford University · Princeton AI Lab, Princeton University
FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use Environments
Apr 28, 2026Amir Saeidi, Venkatesh Mishra, Souradeep Mukhopadhyay +4AI Agent Reliability Multi-Agent LLM Systems
Arizona State University · Cisco Research
PolyKV: A Shared Asymmetrically-Compressed KV Cache Pool for Multi-Agent LLM Inference
Apr 27, 2026Ishan Patel, Ishan JoshiLLM Inference Efficiency Multi-Agent LLM Systems
Independent Researcher
FGDM: Reasoning Aware Multi-Agentic Framework for Software Bug Detection using Chain of Thought and Tree of Thought Prompting
Apr 27, 2026Srita Padmanabhuni, Bhargavi Karuturi, Jerusha Karen Indupalli +2Multi-Agent LLM Systems Automated Program Repair
SRM University, Andhra Pradesh, Amaravati, India · Corresponding Author
NeuroClaw Technical Report
Apr 27, 2026Cheng Wang, Zhibin He, Zhihao Peng +7Multi-Agent LLM Systems AI Agent Benchmarks
Electronic Engineering Department, The Chinese University of Hong Kong, China · School of Electronic Information, Northwest University, China · Department of Computer Science, Emory University, Atlanta, GA, USA +3
GAMMAF: A Common Framework for Graph-Based Anomaly Monitoring Benchmarking in LLM Multi-Agent Systems
Apr 27, 2026Pablo Mateo-Torrejón, Alfonso Sánchez-MaciánMulti-Agent LLM Systems AI Agent Security Benchmarks
University Carlos III of Madrid · Leganés, Spain
ITAS: A Multi-Agent Architecture for LLM-Based Intelligent Tutoring
Apr 27, 2026Iizalaarab Elhaimeur, Nikos ChrisochoidesMulti-Agent LLM Systems Intelligent Tutoring Systems
Center for Real-Time Computing

May 4, 2026, cs.AIJ/K move · Enter open · S save

ORPilot: A Production-Oriented Agentic LLM-for-OR Tool for Optimization Modeling

Guangrui Xie

Multi-Agent LLM Systems Large Language Model-Guided Optimization Natural Language to Optimization Modeling

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This paper presents ORPilot, an open-source agentic AI system that translates real-world business problems into solver-ready optimization models. Unlike academic LLM-for-OR tools that assume clean problem specifications with preformatted inline data, ORPilot is designed for production conditions: ambiguous descriptions, large-scale raw operational data, and the need for portability across solver backends. The system introduces four novel components: (1) a conversational interview agent to elicit complete problem specifications, (2) a data collection agent that retrieves data independently of prompts, (3) a parameter computation agent to bridge raw tabular data and model-ready parameters, and (4) a solver-agnostic Intermediate Representation (IR) for deterministic, zero-LLM-call recompilation to Gurobi, CPLEX, PuLP, Pyomo, or OR-Tools solvers. Additionally, self-correcting retry loops utilize solver tracebacks for targeted repairs. ORPilot represents the first attempt to target production-level business problems rather than textbook operations research (OR) cases. Evaluation on real-world problems demonstrates promising results. When tested against traditional academic benchmarks: IndustryOR, NL4OPT and NLP4LP, ORPilot outperformed state-of-the-art tools in accuracy on the IndustryOR benchmark and delivered comparable performance on NL4OPT and NLP4LP.

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Latest papers 665