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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 ne
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