DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

A starting point.

DeepSeek-R1 investigates reinforcement learning for reasoning and distillation into smaller models.

What to keep in mind

Read the original paper for the experimental setting, baselines, and limitations; a result in one setting is not a guarantee of performance elsewhere.

This work is included in a researcher’s reading path. A detailed editorial explanation is still being prepared. The complete manuscript is available in Full paper.

Source: DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning. The original manuscript contains the methods, experiments, figures, and references. An arXiv posting date may follow an earlier conference publication. Read the linked record for version history.