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Nice Fold or Hero Call: Learning Budget-Efficient Thinking under Policy-Dependent Solvability
Large reasoning models (LRMs) improve problem solving through extended reasoning, but often misallocate test-time compute. Existing efficiency methods reduce cost by compressing reasoning traces or conditioning budget on perceived difficulty, yet read the resulting pass rate as a difficulty score, l
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