DCFA: Dual-view Causal-inspired Attribution for Failure Reasoning in LLM-based Multi-agent Systems
DCFA is proposed, a training-free framework for failure attribution that integrates a global module that constructs structured causal-inspired dependency graphs from system traces to identify the initial decisive error, and a local module that applies local counterfactual-inspired reasoning to refine causal-inspired at...
Ze-Hao Wang, Lanjun Wang, Shi-Long Jin et al.
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