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Shao and colleagues: DeepSeekMath and group relative policy optimization

Contribution grade

Mathematical reasoning and reinforcement learning · Human-designed AI research method or resource

Reference score30,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Built a math-specialized 7B language model using a selected large math corpus and introduced group relative policy optimization, which estimates a reward baseline from grouped outputs without a separate critic model.

Scientific scope

Built a math-specialized 7B language model using a selected large math corpus and introduced group relative policy optimization, which estimates a reward baseline from grouped outputs without a separate critic model. Scope limitation: The model and GRPO are treated as one paper-level contribution package. The paper's MATH and related benchmark results are self-reported and do not establish general mathematical reliability or proof correctness.

Evidence

The retained primary-source abstract, bibliographic record and stated review scope support this provisional assessment. No independent experimental replication by WRS is claimed. The model and GRPO are treated as one paper-level contribution package. The paper's MATH and related benchmark results are self-reported and do not establish general mathematical reliability or proof correctness.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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