The paper claims PRM generalization error controls test-time compute efficiency and that the proposed CATS controller improves accuracy on MATH-500 and AIME24.
Scaling LLM Test-Time Compute Optimally Can be More Effective than Scaling Parameters for Reasoning
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Reward Model Generalization for Compute-Aware Test-Time Reasoning
The paper claims PRM generalization error controls test-time compute efficiency and that the proposed CATS controller improves accuracy on MATH-500 and AIME24.