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Process Reward Models & Verifier-Guided Search(PRM)
Uses a reward model that scores each intermediate reasoning step (process supervision) rather than only the final answer (outcome supervision). The per-step scores rank and prune candidate solutions during best-of-N sampling or tree search, concentrating test-time compute on the most promising branches and on harder problems.
Complexity: highLearning and Adaptation
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🪜
Process Reward Models & Verifier-Guided Search(PRM)
Uses a reward model that scores each intermediate reasoning step (process supervision) rather than only the final answer (outcome supervision). The per-step scores rank and prune candidate solutions during best-of-N sampling or tree search, concentrating test-time compute on the most promising branches and on harder problems.
Complexity: highLearning and Adaptation
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