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Disagreement among verifiers can be a powerful signal for identifying errors in multimodal reasoning, leading to a 5.95% performance boost without any training.
Abstaining from uncertain predictions can enhance LLM accuracy in medical applications by 9.6 percentage points, transforming uncertainty into a strategic advantage.