DeepSeek-R1 — Reasoning via RL (2025)
研究论文
推理
The open recipe for reasoning models — a Nature cover, from a hedge fund's lab.
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The R1 report showed reasoning emerging from pure reinforcement learning on verifiable problems (R1-Zero), then a practical pipeline mixing SFT and RL — published openly with weights while Western labs kept their recipes closed. It democratized the o1 breakthrough within weeks and later ran as Nature's cover paper.
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记录审阅截至 2026-01-15 — 查看 方法论.