AINeutralarXiv – CS AI · 6h ago6/10
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Recognize Your Orchestrator: An Entropy Dynamics Perspective for LLM Multi-Agent Systems
Researchers propose a Mean-Field Entropy Dynamics framework to analyze failure modes in Large Language Model multi-agent systems, identifying a "Reasoning Trap" where sophisticated reasoning models paradoxically perform poorly as orchestrators due to context limitations. The study introduces Inverse Workflow Generation for benchmarking and provides physically interpretable parameters for predicting system stability.