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Lightman et al.: process-supervised reward models and PRM800K

Compared step-level and outcome-only supervision for mathematical reward models, reporting stronger solution selection with process feedback and active-learning gains, and releasing the PRM800K human-label resource.

What is recorded here?

Compared step-level and outcome-only supervision for mathematical reward models, reporting stronger solution selection with process feedback and active-learning gains, and releasing the PRM800K human-label resource.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Results concern the stated MATH subset, base model, feedback budget and sampling/selection procedure, not single-sample 78% accuracy or universal superiority. Process supervision builds on Uesato et al. rather than originating here.

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People and systems

Hunter Lightman; Vineet Kosaraju; Yura Burda; Harri Edwards; Bowen Baker; Teddy Lee; Jan Leike; John Schulman; Ilya Sutskever; Karl Cobbe

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

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English catalogue narrative

Lightman et al.: process-supervised reward models and PRM800K

Compared step-level and outcome-only supervision for mathematical reward models, reporting stronger solution selection with process feedback and active-learning gains, and releasing the PRM800K human-label resource.

Scientific scope

Results concern the stated MATH subset, base model, feedback budget and sampling/selection procedure, not single-sample 78% accuracy or universal superiority. Process supervision builds on Uesato et al. rather than originating here.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Hunter Lightman; Vineet Kosaraju; Yura Burda; Harri Edwards; Bowen Baker; Teddy Lee; Jan Leike; John Schulman; Ilya Sutskever; Karl Cobbe

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources