POIROT: Interrogating Agents for Failure Detection in Multi-Agent Systems 事件

POIROT: Interrogating Agents for Failure Detection in Multi-Agent Systems arXiv:2606.02282v1 Announce Type: new Abstract: Orchestrating Large Language Models into Multi-Agent Systems (LLM-MAS) has unlocked remarkable reasoning capabilities, yet emergent failures and hallucinations that resist characterisation block their deployment in safety-critical domains -- a gap made legally untenable by emerging AI regulation. Existing evaluation paradigms share a common flaw: centralised judgment creates