Collaborative disagreement-resolution protocols yield higher weak-judge accuracy than standard fixed-position AI debate.
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We find that Disagreement Resolution consistently helps non-expert models identify the truth, achieving 62.1% judging accuracy compared to 49.2% for standard debate.
Abstract of an ICML 2026 paper proposing a collaborative disagreement-resolution protocol, modeled on human mediation, as an alternative to adversarial fixed-position AI debate for scalable oversight.
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