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When LLMs Agree, Are They Right? Auditing Self-Consistency and Cross-Model Agreement as Confidence Signals

arXiv cs.AI · 2026-07-10 Cached

This paper audits whether self-consistency and cross-model agreement are reliable indicators of correctness in LLMs, finding that agreement is a weak, regime-dependent proxy and that frontier models exhibit overconfidence.

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