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Candidate conditioning can boost accuracy by nearly 30% when multiple correct answers are present, but surprisingly, it can hinder performance when all candidates are incorrect. WHY_IT MATTERS: This insight challenges existing assumptions about candidate conditioning, potentially reshaping strategies for efficient test-time reasoning in AI systems.
