What is recorded here?
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.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
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.
Read the original work
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- DeepSeekMath official code and model repository
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People and systems
Zhihong Shao; Peiyi Wang; Qihao Zhu; Runxin Xu; Junxiao Song; Xiao Bi; Haowei Zhang; Mingchuan Zhang; Y. K. Li; Y. Wu; Daya Guo
Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.
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English catalogue narrative
Shao and colleagues: DeepSeekMath and group relative policy optimization
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
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.
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
Zhihong Shao; Peiyi Wang; Qihao Zhu; Runxin Xu; Junxiao Song; Xiao Bi; Haowei Zhang; Mingchuan Zhang; Y. K. Li; Y. Wu; Daya Guo
Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.