Paper summary
Paper summary: DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-R1 shows that large-scale reinforcement learning, without human-labelled reasoning traces, can bring out advanced reasoning such as self-reflection and verification in a pretrained LLM.
- Reasoning skills like self-verification and reflection emerged during RL rather than being taught by example.
- The authors' recipe: hard questions, a reliable verifier and enough RL compute.