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University of Illinois Urbana-Champaign
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Fine-grained credit assignment in multi-agent systems can dramatically boost performance, revealing error sources with unprecedented precision.
Forget prompt engineering and fine-tuning: this "Reasoning Inception" method injects targeted reasoning into LLM agents at test time to fix conversational errors on the fly.
