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#artificial intelligence Preprint Oct 2026

Pay for the Fault, Not the Flow: Label-Free In-Flow Multi-Agent Workflow Optimization

Large language models (LLMs) increasingly construct multi-agent workflows that decompose a complex task and assign specialist agents from a pool. However, building such a workflow well remains challenging: how finely to divide the task, which agent to trust with each subtask, and when to create a new specialist are all...

Xue-Hang Guo, Hao-Yu Wang, Sheng-Yu Chen et al. · 0 citations

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