LLM Agent Orchestration

LLM: Large Language Model

Overview

LLM agent orchestration studies how to organize language models, tools, and specialized agents into systems that can solve tasks requiring multiple steps. Common approaches include sequential and hierarchical pipelines, graph-based workflows, parallel delegation, adaptive routing, and plan–execute–reflect loops, with memory and verification used to manage state and catch errors. Work is evaluated on tasks such as coding, web research, tool use, and domain workflows, using measures that include success, cost, latency, and reliability. A central open tension is that added coordination can improve difficult tasks but also increase cost and failure opportunities, and its benefits depend on the model, task structure, and quality of execution controls.

Latest papers

CardsList

463 papers61 papers in the last four weeks, up 74% on the four weeks before. 0.4% of all new papers.

  1. 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 ReliabilityMulti-Agent LLM Systems

  2. Dont Stop Early: Scalable Enterprise Deep Research with Controlled Information Flow and Evidence-Aware Termination

    Apr 27, 2026Prafulla Kumar Choubey, Kung-Hsiang Huang, Pranav Narayanan Venkit +5Deep Research AgentsLLM Agent Orchestration

  3. ITAS: A Multi-Agent Architecture for LLM-Based Intelligent Tutoring

    Apr 27, 2026Iizalaarab Elhaimeur, Nikos ChrisochoidesMulti-Agent LLM SystemsIntelligent Tutoring Systems

  4. From Prototype to Classroom: An Intelligent Tutoring System for Quantum Education

    Apr 27, 2026Iizalaarab Elhaimeur, Nikos ChrisochoidesMulti-Agent LLM SystemsIntelligent Tutoring Systems

  5. TSAssistant: A Human-in-the-Loop Agentic Framework for Automated Target Safety Assessment

    Apr 27, 2026Xiaochen Zheng, Zhiwen Jiang, David Tokar +5LLM Agent OrchestrationHuman-in-the-Loop AI

  6. GraphPlanner: Graph Memory-Augmented Agentic Routing for Multi-Agent LLMs

    Apr 26, 2026Tao Feng, Haozhen Zhang, Zijie Lei +2Multi-Agent LLM SystemsLLM Agent Orchestration

  7. Towards Automated Ontology Generation from Unstructured Text: A Multi-Agent LLM Approach

    Apr 25, 2026Abid Talukder, Maruf Ahmed Mridul, Oshani SeneviratneMulti-Agent LLM SystemsLLM Agent Orchestration

  8. Analytica: Soft Propositional Reasoning for Robust and Scalable LLM-Driven Analysis

    Apr 24, 2026Junyan Cheng, Kyle Richardson, Peter ChinLLM Agent OrchestrationLLM Agents

  9. CHORUS: An Agentic Framework for Generating Realistic Deliberation Data

    Apr 22, 2026A. Koursaris, G. Domalis, A. Apostolopoulou +3Multi-Agent LLM SystemsSynthetic Data Generation

  10. ReCoQA: A Benchmark for Tool-Augmented and Multi-Step Reasoning in Real Estate Question and Answering

    Apr 20, 2026Yindong Zhang, Wenmian Yang, Yiquan Zhang +1LLM Agent OrchestrationAI Agent Benchmarks

  11. Co-evolving Agent Architectures and Interpretable Reasoning for Automated Optimization

    Apr 20, 2026Jiahao Huang, Peilan Xu, Xiaoya Nan +1Evolutionary OptimizationLarge Language Model-Guided Optimization

  12. Graph-of-Agents: A Graph-based Framework for Multi-Agent LLM Collaboration

    Apr 18, 2026Sukwon Yun, Jie Peng, Pingzhi Li +5LLM Agent OrchestrationMulti-Agent Collaboration

  13. HiveMind: OS-Inspired Scheduling for Concurrent LLM Agent Workloads

    Apr 18, 2026Justice Owusu Agyemang, Jerry John Kponyo, Obed Kwasi Somuah +3LLM Inference EfficiencyAI Coding Agents

  14. Small Model as Master Orchestrator: Learning Unified Agent-Tool Orchestration with Parallel Subtask Decomposition

    Apr 18, 2026Wenzhen Yuan, Wutao Xiong, Fanchen Yu +7Multi-Agent System OptimizationMulti-Agent Orchestration

  15. Agentic Frameworks for Reasoning Tasks: An Empirical Study

    Apr 17, 2026Zeeshan Rasheed, Abdul Malik Sami, Muhammad Waseem +3LLM Agent OrchestrationAI Agent Evaluation

  16. Evo-MedAgent: Beyond One-Shot Diagnosis with Agents That Remember, Reflect, and Improve

    Apr 15, 2026Weixiang Shen, Bailiang Jian, Jun Li +6Medical AI AgentsLLM Agent Self-Improvement

  17. AIBuildAI: An AI Agent for Automatically Building AI Models

    Apr 15, 2026Ruiyi Zhang, Peijia Qin, Qi Cao +2Automated Machine LearningMulti-Agent LLMs

  18. Credo: Declarative Control of LLM Pipelines via Beliefs and Policies

    Apr 15, 2026Duo Lu, Andrew Crotty, Uğur ÇetintemelLLM Agent OrchestrationLLM Agents

  19. GeoAgentBench: A Dynamic Execution Benchmark for Tool-Augmented Agents in Spatial Analysis

    Apr 15, 2026Bo Yu, Cheng Yang, Dongyang Hou +6LLM Agent EvaluationAI Agent Benchmarks

  20. AgentSPEX: An Agent SPecification and EXecution Language

    Apr 14, 2026Pengcheng Wang, Jerry Huang, Jiarui Yao +7LLM Agent OrchestrationLLM Agent Harnesses

  21. Multi-Agent Object Detection Framework Based on Raspberry Pi YOLO Detector and Slack-Ollama Natural Language Interface

    Apr 14, 2026Vladimir Kalušev, Branko Brkljač, Milan BrkljačMulti-Agent OrchestrationLLM Agent Orchestration