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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Latency and Cost of Multi-Agent Intelligent Tutoring at Scale
Apr 27, 2026Iizalaarab Elhaimeur, Nikos ChrisochoidesLLM Inference Efficiency Multi-Agent LLM Systems
Center for Real-Time Computing · Computer Science Department · Old Dominion University +2
From Prototype to Classroom: An Intelligent Tutoring System for Quantum Education
Apr 27, 2026Iizalaarab Elhaimeur, Nikos ChrisochoidesMulti-Agent LLM Systems Intelligent Tutoring Systems
Center for Real-Time Computing Computer Science Department Old Dominion University Norfolk, VA · Center for Real-Time Computing Computer Science and Physics Departments Old Dominion University Norfolk, VA
GamED.AI: A Hierarchical Multi-Agent Framework for Automated Educational Game Generation
Apr 27, 2026Shiven Agarwal, Yash Shah, Ashish Raj Shekhar +2Multi-Agent LLM Systems Educational Technology
Arizona State University
The Interlocutor Effect: Why LLMs Leak More Personal Data to Agents Than Humans
Apr 26, 2026Faouzi El Yagoubi, Godwin Badu-Marfo, Ranwa Al MallahData Leakage Multi-Agent LLM Systems
Department of Computer and Software Engineering, Polytechnique Montréal, Montréal, Canada
GraphPlanner: Graph Memory-Augmented Agentic Routing for Multi-Agent LLMs
Apr 26, 2026Tao Feng, Haozhen Zhang, Zijie Lei +2Multi-Agent LLM Systems LLM Agent Orchestration
Department of Computer Science University of Illinois Urbana-Champaign Urbana, IL, USA
SoccerRef-Agents: Multi-Agent System for Automated Soccer Refereeing
Apr 25, 2026Zi Meng, Wanli Song, Yi Hu +2Multi-Agent LLM Systems Sports Video Analysis
University of Michigan, Michigan, USA · Shanghai Jiao Tong University, Shanghai, China
GSAR: Typed Grounding for Hallucination Detection and Recovery in Multi-Agent LLMs
Apr 25, 2026Federico A. KamelharAI Agent Reliability Multi-Agent LLM Systems
Senior Principal Architect, Agentic AI Oracle Corporation
No Test Cases, No Problem: Distillation-Driven Code Generation for Scientific Workflows
Apr 25, 2026Siddeshwar Raghavan, Tanwi MallickMulti-Agent LLM Systems Code Generation
Purdue University · Electrical and Computer Engineering · West Lafayette, USA +3
Towards Automated Ontology Generation from Unstructured Text: A Multi-Agent LLM Approach
Apr 25, 2026Abid Talukder, Maruf Ahmed Mridul, Oshani SeneviratneMulti-Agent LLM Systems LLM Agent Orchestration
Rensselaer Polytechnic Institute, Troy, New York, United States
Code Broker: A Multi-Agent System for Automated Code Quality Assessment
Apr 25, 2026Samer AttrahMulti-Agent LLM Systems Software Engineering Agents
Independent researcher · California, USA
Seeing the Whole Elephant: A Benchmark for Failure Attribution in LLM-based Multi-Agent Systems
Apr 24, 2026Mengzhuo Chen, Junjie Wang, Fangwen Mu +4Agent Failure Analysis Multi-Agent LLM Systems
State Key Laboratory of Complex System Modeling and Simulation Technology · Institute of Software, Chinese Academy of Sciences · University of Chinese Academy of Sciences, Beijing, China
Reliable Self-Harm Risk Screening via Adaptive Multi-Agent LLM Systems
Apr 24, 2026Meghana Karnam, Ananya JoshiAI Agent Reliability Multi-Agent LLM Systems
Johns Hopkins University Baltimore, USA
AI-Gram: When Visual Agents Interact in a Social Network
Apr 23, 2026Andrew ShinMulti-Agent LLM Systems Multi-Agent Systems
Faculty of Science and Technology Keio University Yokohama, Kanagawa Prefecture, Japan
Agentic AI for Personalized Physiotherapy: A Multi-Agent Framework for Generative Video Training and Real-Time Pose Correction
Apr 22, 2026Abhishek Dharmaratnakar, Srivaths Ranganathan, Anushree Sinha +1Multi-Agent LLM Systems
Google, Mountain View, USA
Cooperative Profiles Predict Multi-Agent LLM Team Performance in AI for Science Workflows
Apr 22, 2026Shivani Kumar, Adarsh Bharathwaj, David JurgensMulti-Agent LLM Systems AI for Science
University of Michigan
CHORUS: An Agentic Framework for Generating Realistic Deliberation Data
Apr 22, 2026A. Koursaris, G. Domalis, A. Apostolopoulou +3Multi-Agent LLM Systems Synthetic Data Generation
Novelcore, Athens, GR 10436 · Department of Business Administration & Organization Administration, University of Peloponnese, Kalamata, GR2026 24100
pAI/MSc: ML Theory Research with Humans on the Loop
Apr 22, 2026Mahmoud Abdelmoneum, Pierfrancesco Beneventano, Tomaso PoggioMulti-Agent LLM Systems AI-Assisted Scientific Research
1Massachusetts Institute of Technology · 2Perseus Labs
Trust, Lies, and Long Memories: Emergent Social Dynamics and Reputation in Multi-Round Avalon with LLM Agents
Apr 22, 2026Suveen EllawelaMulti-Agent LLM Systems Game-Playing Agents
National University of Singapore
Enhancing Research Idea Generation through Combinatorial Innovation and Multi-Agent Iterative Search Strategies
Apr 22, 2026Shuai Chen, Chengzhi ZhangMulti-Agent LLM Systems Computational Creativity
Department of Information Management, Nanjing University of Science and Technology, Nanjing, 210094 China
EvoAgent: An Evolvable Agent Framework with Skill Learning and Multi-Agent Delegation
Apr 22, 2026Aimin Zhang, Jiajing Guo, Fuwei Jia +3Multi-Agent LLM Systems LLM Agent Skill Learning
Focus AI Center, Focus Technology Co., Ltd. · Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology · Nanjing University of Science and Technology
AgenticRecTune: Multi-Agent with Self-Evolving Skillhub for Recommendation System Optimization
Apr 21, 2026Xidong Wu, Yue Zhuan, Ruoqiao Wei +7Multi-Agent LLM Systems Multi-Agent System Optimization
Google Mountain View, California, USA
TriEx: A Game-based Tri-View Framework for Explaining Internal Reasoning in Multi-Agent LLMs
Apr 21, 2026Ziyi Wang, Chen Zhang, Wenjun Peng +2CoT Faithfulness Multi-Agent LLM Systems
1Adelaide University, Australia
NightFeats @ MMU-RAGent NeurIPS 2025: A Context-Optimized Multi-Agent RAG System for the Text-to-Text Track
Apr 21, 2026Quentin Fever, Naziha AslamMulti-Agent LLM Systems Grounded Text Generation
Team NightFeats
Rethinking Scale: Deployment Trade-offs of Small Language Models under Agent Paradigms
Apr 21, 2026Xinlin Wang, Mats BrorssonMulti-Agent LLM Systems Tool-Augmented Language Model Agents
Proximus Luxembourg S.A. · rue du Puits Romain · L-8070 Bertrange, Luxembourg +3
Explicit Trait Inference for Multi-Agent Coordination
Apr 21, 2026Suhaib Abdurahman, Etsuko Ishii, Katerina Margatina +3Multi-Agent LLM Systems Multi-Agent Coordination
University of Southern California · AWS Agentic AI Labs
Gated Coordination for Efficient Multi-Agent Collaboration in Minecraft Game
Apr 21, 2026HuaDong Jian, Chenghao Li, Haoyu Wang +4Multi-Agent LLM Systems Multi-Agent Collaboration
University of Electronic Science and Technology of China Chengdu, China
Towards Optimal Agentic Architectures for Offensive Security Tasks
Apr 20, 2026Isaac David, Arthur GervaisMulti-Agent LLM Systems Software Vulnerability Detection
University College London
MASS-RAG: Multi-Agent Synthesis Retrieval-Augmented Generation
Apr 20, 2026Xingchen Xiao, Heyan Huang, Runheng Liu +1Retrieval-Augmented Generation Multi-Agent LLM Systems
School of Computer Science and Technology, Beijing Institute of Technology · Department of Mathematical Sciences, Tsinghua University
Diversity Collapse in Multi-Agent LLM Systems: Structural Coupling and Collective Failure in Open-Ended Idea Generation
Apr 20, 2026Nuo Chen, Yicheng Tong, Yuzhe Yang +5Multi-Agent LLM Systems Multi-Agent Collaboration
National University of Singapore · The Chinese University of Hong Kong, Shenzhen
HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and Execution
Apr 20, 2026Hanhua Hong, Yizhi LI, Jiaoyan Chen +4Multi-Agent LLM Systems Code Generation
The University of Manchester · Institute for Infocomm Research (I²R), A*STAR · ELLIS Manchester +1

Apr 27, 2026, cs.CYJ/K move · Enter open · S save

Latency and Cost of Multi-Agent Intelligent Tutoring at Scale

Iizalaarab Elhaimeur, Nikos Chrisochoides

Center for Real-Time Computing · Computer Science Department · Old Dominion University+2

LLM Inference Efficiency Multi-Agent LLM Systems LLM Serving Intelligent Tutoring Systems

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Multi-agent LLM tutoring systems improve response quality through agent specialization, but each student query triggers several concurrent API calls whose latencies compound through a parallel-phase maximum effect that single-agent systems do not face. We instrument ITAS, a four-agent tutoring system built on Gemini 2.5 Flash and Google Vertex AI, across three throughput tiers (Standard PayGo, Priority PayGo, and Provisioned Throughput) and eleven concurrency levels up to 50 simultaneous users, producing over 3,000 requests drawn from a live graduate STEM deployment. Priority PayGo maintains flat sub-4-second response times across the full load range; Standard PayGo degrades substantially under classroom-scale concurrency; and Provisioned Throughput delivers the lowest latency at low concurrency but saturates its reserved capacity above approximately 20 concurrent users. Cost analysis places both pay-per-token tiers well below the price of a STEM textbook per student per semester under a worst-case usage ceiling. Provisioned Throughput, expensive under continuous provisioning, becomes cost-competitive for institutions that can predict and concentrate their traffic toward high utilization. These results provide concrete tier-selection guidance across deployment scales from a single seminar to a university-wide rollout.

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Latest papers 665