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Research questionHow can conformal prediction preserve coverage when multi-agent LLMs see unanimous wrong peer answers?Conformal prediction can be calibrated for an LLM answering alone, yet peer outputs may change its scoring of the same question. Unanimous incorrect peers can therefore reduce coverage and make an uncertain system act on a wrong answer.
AI
Evaluation & Benchmarks
Machine Learning
Multi-agent Systems
Reasoning
Statistical Machine Learning
Latest papersRecent research connected to this question, newest first.Conformity Breaks Conformal PredictionThe evidence covers open-weight models on multiple-choice question answering with unanimous-wrong peer outputs, including effects on coverage and escalation decisions. It does not establish a general remedy beyond showing that standard conformal fixes are insufficient.research paper · Sep 3, 2026
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