StepFinder: A Temporal Semantic Framework for Failure Attribution in Multi-Agent Systems 事件

StepFinder: A Temporal Semantic Framework for Failure Attribution in Multi-Agent Systems arXiv:2606.03467v1 Announce Type: new Abstract: LLM-based multi-agent systems exhibit remarkable collaborative capabilities in complex multi-step tasks. However, these systems are highly sensitive to single-step execution errors that can propagate through agent interactions and lead to cascading failures. To understand the causes of failure and improve system reliability, failure attribution has been introd