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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.
Agents struggle to maintain planning accuracy in complex tool ecosystems, with GPT-5.4's performance plummeting from 51.90% to 11.36% under severe blocking conditions.