LLM Agent Orchestration

LLM: Large Language Model

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26 papers in the last four weeks, up 53% on the four weeks before. 0.3% of all new papers.

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Harnessing Generalist Agents for Contextualized Time Series
Jun 3, 2026Zihao Li, Kaifeng Jin, Yuanchen Bei +8Time Series Reasoning LLM Agent Orchestration
University of Illinois Urbana-Champaign
Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection
Jun 3, 2026Yongzi Yu, Ao Li, Le Wang +4Multi-Agent LLM Systems LLM Agent Orchestration
1The Hong Kong University of Science and Technology (Guangzhou) · 2The Hong Kong University of Science and Technology · 3Shanghai University of Finance and Economics +2
From Prompt to Service: An SLM-Based Agent Orchestration Gateway for AI-Driven Virtual Worlds
Jun 2, 2026Louis Nisiotis, Aimilios HadjiliasiLLM Agent Orchestration Small Language Models
Department of Computing, Engineering and Mathematics UCLan Cyprus
Handoff Debt: The Rediscovery Cost When Coding Agents Take Over Interrupted Tasks
Jun 1, 2026Dipesh KC, Anjila BudathokiCoding Agents Software Engineering Benchmarks
Independent Researcher · Georgia State University
QoEReasoner: An Agentic Reasoning Framework for Automated and Explainable QoE Diagnosis in RANs
Jun 1, 2026Qizhe Li, Haolong Chen, Shan Dai +5LLM Agent Orchestration Wireless Communications
The Chinese University of Hong Kong, Shenzhen · Shenzhen Research Institute of Big Data · Huawei Technologies Co., Ltd. +1
Self-Healing Agentic Orchestrators for Reliable Tool-Augmented Large Language Model Systems
May 31, 2026Rahul Suresh Babu, Adarsh AgrawalLLM Agent Orchestration LLM Agent Reliability
Independent Researcher United States of America · Senior Member, IEEE United States of America
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
Agentic Clustering: Controllable Text Taxonomies via Multi-Agent Refinement
May 31, 2026Simon Löwe, Emily SilcockMulti-Agent LLM Systems Clustering
Burning Glass Institute · Harvard University
FinCom: A Financial Multi-Agent Demo with Disagree-or-Commit Deliberation
May 31, 2026Chao Peter Yang, Zixiao Tan, Kaisen Yao +3LLM Sycophancy LLM Agent Orchestration
Duke University United States · ClearPath United States
MOSAIC: Modular Orchestration for Structured Agentic Intelligence and Composition
May 30, 2026Yifan Bao, Xinyu Xi, Xinyu Liu +8LLM Agent Orchestration Automated Machine Learning
Department of Computer Science, National University of Singapore · University College London · Alan Turing Institute +2
AgentxGCore: Agentic AI for Next-Generation Mobile Core Network
May 29, 2026Maria Katarine Santana Barbosa, Kelvin L. DiasMulti-Agent Orchestration 6G Networks
Centro de InformÃ¡tica - Universidade Federal de Pernambuco, Brazil
Learning to Construct Practical Agentic Systems
May 29, 2026Aditya Kumar, Zhihan Lei, Jerry Yan +6LLM Agent Orchestration Agentic Workflows
Carnegie Mellon University · Dept. of Computer Science Emory University
Artificial Intelligence in Ship Finance: Applications, Opportunities, and a Case Study in AI-Augmented Loan Origination
May 29, 2026Lasse Dierich, Orestis SchinasFinancial Services LLM Agent Orchestration
ShipFinance.ai, Munich, Germany · HHX.blue GmbH, Kiel, Germany · Technical University of Munich, Munich, Germany +1
Harnessing Agent Skills: Architectural Patterns and a Reference Architecture for Skill-Mediated LLM Agents
May 29, 2026Boming Xia, Liming Zhu, Zhenchang Xing +3LLM Agent Orchestration LLM Agent Skill Retrieval
Responsible AI Research (RAIR) Centre, Adelaide, SA, Australia · Adelaide University, Adelaide, SA, Australia · CSIRO, Sydney, NSW, Australia +1
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
From Human Guidance to Autonomy: Agent Skill System for End-to-End LLM Deployment on Spatial NPUs
May 27, 2026Jiajie Li, Erwei Wang, Zhiru Zhang +1AI Accelerator Inference LLM Agent Orchestration
Cornell University · AMD
Roles with Rails: Contract-Preserving Role Evolution in Multi-Agent Structured Reasoning
May 27, 2026Ling-Yue Ge, Lan-Zhe GuoMulti-Agent LLM Systems LLM Agent Orchestration
1National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China · School of Intelligence Science and Technology, Nanjing University, Suzhou, China
Tool Forge: A Validation-Carrying Toolchain for Governed Agentic Execution
May 27, 2026Swanand RaoLLM Agent Orchestration Tool-Using Agents
Next Moca Global, Inc.
Decoupled Intelligence: A Multi-Agent LLM Framework for Controllable Traffic Scenario Generation in SUMO
May 26, 2026Shuyang Li, Ruimin KeMulti-Agent LLM Systems Intelligent Transportation Systems
Civil and Environmental Engineering, School of Engineering, Rensselaer Polytechnic Institute, Troy, United States.
Discovery Agents for Real-Time Analytics: Toward Proactive Insight Systems
May 26, 2026Gaetano Rossiello, Dharmashankar SubramanianMulti-Agent LLM Systems LLM Agent Orchestration
IBM · New York City, New York, USA · Yorktown Heights, New York, USA
AgensFlow: A Coordination-Policy Substrate for Multi-Agent Systems
May 26, 2026Nicole KoenigsteinMulti-Agent LLM Systems Multi-Agent System Optimization
Independent researcher.
From Model Scaling to System Scaling: Scaling the Harness in Agentic AI
May 25, 2026Shangding GuLLM Agent Orchestration AI Agent Benchmarks
UC Berkeley
PolyGnosis 2.0: Enhancing LLM Reasoning via Agentic Harness Engineering for Polymarket and OSINT Insight Extraction
May 25, 2026Daren Wang, Hong Xu, Jiawen XianMulti-Agent LLM Systems LLM Agent Orchestration
The Chinese University of Hong Kong · Evolution AI Lab
Multi-Agent Coordination Adaptation via Structure-Guided Orchestration
May 25, 2026Haoran Li, Shulun Chen, Shaoyuan Sun +1Multi-Agent LLM Systems Multi-Agent System Optimization
Nanjing University · University of Technology Sydney, Sydney, Australia · University of New South Wales, Sydney, Australia
AION: Next-Generation Tasks and Practical Harness for Time Series
May 24, 2026Tianxiang Zhan, Xiaobao Song, Tong Guan +2Time Series Reasoning Time Series Forecasting
1Griffith University · 2Shenzhen University · 3Zhejiang University
Specifying AI-SDLC Processes: A Protocol Language for Human-Agent Boundaries
May 24, 2026Ylli PriftiSoftware Engineering Agents LLM Agent Orchestration
Birkbeck, University of London
MDIA: A Multi-Agent Diagnostic Intelligence Pipeline on HealthBench Professional
May 23, 2026Roberto Cruz, David Rey-BlancoMulti-Agent LLM Systems Healthcare
TietAI
Advanced AI Service Provisioning in O-RAN through LLM Engine Integration
May 22, 2026Seyed Bagher Hashemi Natanzi, Pranshav Gajjar, Bo Tang +1LLM Agent Orchestration Wireless Communications
Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA 01609 USA · Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC 27695 USA
Claw AI Lab: An Autonomous Multi-Agent Research Team
May 21, 2026Fan Wu, Cheng Chen, Zhenshan Tan +12Multi-Agent LLM Systems LLM Agent Orchestration
1NTU · 2A*STAR · 4NUIST +3
GraphFlow: A Graph-Based Workflow Management for Efficient LLM-Agent Serving
May 21, 2026Ao Li, Shangpeng Yang, Fahao Chen +3LLM Agent Orchestration Agentic Workflows
School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an, China · School of Artificial Intelligence, Shandong University, Jinan, China · 3Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China.

Jun 3, 2026, cs.AIJ/K move · Enter open · S save

Harnessing Generalist Agents for Contextualized Time Series

Zihao Li, Kaifeng Jin, Yuanchen Bei, Jiaru Zou+7

University of Illinois Urbana-Champaign

Time Series Reasoning LLM Agent Orchestration Memory-Augmented Language Model Agents

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Time series are often embedded in rich contexts that are essential for holistic modeling. Moreover, real-world practitioners often require end-to-end workflows for analyzing temporal dynamics, where widely studied tasks such as forecasting are only one step in a broader solution loop. While generalist AI agents offer a promising interface for such workflows under complex contexts, they still operate primarily in textual spaces that are not fully aligned with structured temporal signals. In this work, we introduce TimeClaw, an agentic harness framework for time series that equips generalist LLM agents with the time series-native runtime support needed for contextualized temporal reasoning. TimeClaw integrates executable temporal tools for grounded and auditable analysis, experience-driven capability evolution for creating reusable analytical routines, and episodic multimodal memory for retrieving relevant reasoning traces. Together, these components unlock harnessed open-ended temporal reasoning with contextual information. Extensive evaluation on multiple benchmarks covering diverse tasks across energy, finance, weather, traffic, and other real-world domains demonstrates improved performance of TimeClaw. Code is available at https://github.com/iDEA-iSAIL-Lab-UIUC/TimeClaw.

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