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One Axis, No Brake: Self-Knowledge Limits the Filtering of Harmful Peer Conformity in LLMs
Multi-agent LLM systems are expected to be more reliable because agents can catch each other's mistakes. But peer pressure cuts both ways: the same correction that fixes a wrong answer can overturn a right one. The tempting safeguard is a brake that keeps the beneficial revisions and blocks the harm
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