Utility-Guided Agent Orchestration for Efficient LLM Tool Use

arXiv:2603.19896 · cs.AI · Submitted 2026-03-20 · Read on arXiv

cs.AI

Submitted: 2026-03-20

Updated: 2026-09-13

Journal ref: 2026 IEEE International Conference on Joint Cloud Computing (JCC), Fukuoka, Japan, 2026, pp. 333-338

DOI: 10.1109/JCC72984.2026.00053

Code: https://github.com/kagamikasumi/Utility-Guided-Agent-Orchestration-for-Efficient-LLM-Tool-Use

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Redundancy — 26× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Verification — 5× in this paper · explained in 2 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 3× in this paper · explained in 3 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Action Space — 2× in this paper · explained in 1 episode
• Chain-of-Thought Prompting — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Iterative Refinement — 2× in this paper · explained in 3 episodes
• Multi-Agent Framework — 2× in this paper · explained in 3 episodes
• Reasoning Traces — 2× in this paper · explained in 3 episodes
• Self-consistency — 2× in this paper · explained in 2 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Task Decomposition — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• Adaptive Computation Time for Recurrent Neural Networks
• MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
• Self-Refine: Iterative Refinement with Self-Feedback
• Gorilla: Large Language Model Connected with Massive APIs
• ChatDev: Communicative Agents for Software Development
• ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
• Toolformer: Language Models Can Teach Themselves to Use Tools
• Reflexion: Language Agents with Verbal Reinforcement Learning
• Voyager: An Open-Ended Embodied Agent with Large Language Models
• Self-Consistency Improves Chain of Thought Reasoning in Language Models
• Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
• AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
• Tree of Thoughts: Deliberate Problem Solving with Large Language Models
• ReAct: Synergizing Reasoning and Acting in Language Models
• Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

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