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Not All Errors Are Equal: Consequence-Aware Reasoning Compute Allocation
Test-time compute has emerged as an effective paradigm for improving large language model capability at inference time. Existing allocation strategies primarily prioritize tasks according to difficulty, uncertainty, or expected performance gain, implicitly treating prediction errors as equally costl
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