Early-token log-probabilities from LLM decoding are stronger predictors of reasoning quality than full-sequence statistics in multi-agent debate on essay scoring tasks.
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In two-agent debate, log-probability confidence aligns with LLM-judged reasoning quality roughly twice as strongly for the Constructor (AUROC 0.804 for critical failure detection) as for the Auditor (0.634).
citing papers explorer
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Early-Token Confidence Predicts Reasoning Quality in Multi-Agent LLM Debate
Early-token log-probabilities from LLM decoding are stronger predictors of reasoning quality than full-sequence statistics in multi-agent debate on essay scoring tasks.
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The Confident Liar: Diagnosing Multi-Agent Debate with Log-Probabilities and LLM-as-Judge
In two-agent debate, log-probability confidence aligns with LLM-judged reasoning quality roughly twice as strongly for the Constructor (AUROC 0.804 for critical failure detection) as for the Auditor (0.634).