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Learning What to Skip: Counterfactual Credit Assignment for Efficient Multi-Agent LLM Workflows
Multi-agent LLM workflows use planning, execution, verification, and summarization to improve task performance, yet the value of each component depends on the state already produced. Executing every component can waste computation or overwrite a correct intermediate answer. We formulate component om
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