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VerifyMAS: Hypothesis Verification for Failure Attribution in LLM-based Multi-Agent Systems
Large language model-driven multi-agent systems (LLM-MAS) excel at complex tasks, yet unreliable agents remain a key bottleneck to system-level reliability. Automatic failure attribution is therefore critical, but existing approaches, such as direct prediction of agent-error pairs and agent-first fa
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