Evaluating AI reasoning with process supervision
Checklist for assessing AI models trained with process supervision versus outcome supervision.
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Evaluating AI models trained with process supervision.
This checklist outlines steps to evaluate AI models trained with process supervision. It involves generating multiple solutions, ranking them with a reward model, and comparing the accuracy of chosen solutions against outcome-supervised models to assess performance and reliability.
- Improving mathematical reasoning with process supervision ↗OpenAI · OpenAI News · May 31, 2023 · paraphrased
First seen on Subvolts May 31, 2023. Updated Sep 11, 2026. Spotted a problem? Tell us.
- Improving mathematical reasoning with process supervisionOpenAI · OpenAI News · May 31, 2023
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- ChecklistCheck AI model safety evidence acquisition policiesEvaluate how AI models seek safety information before acting using a controlled benchmark. · 120 min
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- Setting tipAI classifier for personal guidance conversationsUse a classifier to identify personal guidance conversations based on user queries about specific personal actions. · 5 min
Questions people ask
- Which AI tools does this work with?
- Any current model. It was seen with in the sources.
- Where did this come from?
- OpenAI (OpenAI News). Subvolts collected, normalized and credited it; the link above opens the original.

