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One Axis, No Brake: Self-Knowledge Limits the Filtering of Harmful Peer Conformity in LLMs
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Research shows multi-agent LLM systems struggle to filter harmful peer conformity, as agents often overturn correct initial answers.
OneBench interpretation
Institutional assessment
So what
Multi-agent LLM systems can degrade output accuracy by allowing peer pressure mechanisms to overturn correct initial responses.
Do what
Review peer-correction mechanics with the team responsible for multi-agent validation frameworks before deploying cooperative agent workflows.