AI RESEARCH
POIROT: Interrogating Agents for Failure Detection in Multi-Agent Systems
arXiv CS.AI
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ArXi:2606.02282v1 Announce Type: new 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 single points of failure and demands domain-specific expertise.