AI RESEARCH
PICon: A Multi-Turn Interrogation Framework for Evaluating Persona Agent Consistency
arXiv CS.CL
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ArXi:2603.25620v1 Announce Type: new Large language model (LLM)-based persona agents are rapidly being adopted as scalable proxies for human participants across diverse domains. Yet there is no systematic method for verifying whether a persona agent's responses remain free of contradictions and factual inaccuracies throughout an interaction. A principle from interrogation methodology offers a lens: no matter how elaborate a fabricated identity, systematic interrogation will expose its contradictions.