Unverified50% confidenceFactExact time
OpenAI's 2023 "Let's Verify Step by Step" study found that process supervision is significantly better than outcome supervision; its process-supervised model solved 78% of a representative subset of a math test, and it released PRM800K, 100,000 step-level human annotations.
1
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50%
Confidence
Long-term
Relevance
10/30/2026
First Seen
Sources
14 Core Concepts of Reasoning Models: From Chain of Thought to GRPO Explained
youtubeBrix AI10/29/2026
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UnverifiedOpenAI 在2023年的研究《Let's Verify Step by Step》中证明，对推理过程每一步进行奖励评估（过程监督）比仅对最终结果评估能更有效提升数学推理能力80% similarUnverifiedOpenAI's 2023 paper "Let's Verify Step by Step" demonstrated that process supervision (PRM) significantly outperforms outcome supervision (ORM) on mathematical reasoning tasks.77% similarUnverifiedAI在实验中采用了标准科研流程：隔离20%数据作为内部测试集、训练集内部使用5折交叉验证、剔除重复记录，并横向对比随机森林、SVM、逻辑回归、梯度提升等多个算法71% similarUnverifiedOpenAI的「Let's Verify Step by Step」是Process Reward Model方向的代表性工作71% similarUnverifiedThe study validated findings through capability thresholds and transplanted the audit methodology to a second self-discovered rule, OPEN, demonstrating the generalizability of the approach.71% similar
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