Verified90% confidenceFactTime unknown
In 2023, OpenAI published the paper "Let's Verify Step by Step," which systematically demonstrated the superiority of process reward models (PRM) in mathematical reasoning tasks.
6
Sources
90%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
LLM推理能力演进：从思维链到DeepSeek-R1全解析
githubatfortes
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UnverifiedOpenAI published research in 2023 showing that process reward models can significantly improve the reliability of mathematical reasoning compared to outcome supervision.79% similarVerifiedProcess Reward Models (PRM) shift toward evaluating the reasoning process rather than the final answer, and have already demonstrated significant advantages in the domain of mathematical reasoning.77% similarUnverified2021年的Chain-of-Thought Prompting论文证明，通过在提示词中加入推理步骤示例，模型的数学推理准确率可提升数十个百分点70% similarUnverifiedIn mathematics reasoning research, OpenAI found that models trained with process supervision significantly outperform models trained with only outcome supervision on complex reasoning tasks.68% similarUnverifiedThe success of agentic CRM depends not only on model accuracy, but even more on whether the reasoning process can be seen and verified.68% similar
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