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

DeepSeek researcher focused on NLP, code intelligence, and LLM reasoning, with public work spanning DeepSeek-Coder, DeepSeekMath, DeepSeek-V2, DeepSeek-V3, and DeepSeek-R1.

Research scientist focused on foundation models and multimodal large language models; his homepage notes earlier work at DeepSeek AI and current research at the University of Southern California.

DeepSeek team member and co-author of the DeepSeek-V3, DeepSeek-V2, and DeepSeek LLM technical reports.

Yu Wu is a researcher at DeepSeek AI and head of its LLM Alignment Team. His public homepage highlights work on reinforcement learning and alignment for the DeepSeek model family, including DeepSeek-V3, DeepSeek-R1, and DeepSeekMath, and notes prior work at Microsoft Research Asia.

Co-founder of DeepSeek who leads pre-training and post-training research, with a focus on language models, reasoning models, and reinforcement learning.

Member of Technical Staff at DeepSeek.

Research scientist at DeepSeek with public GitHub work on language models and AI systems.

Research scientist at DeepSeek with public GitHub projects on AI systems.

Researcher affiliated with DeepSeek-AI and co-author of the Nature paper introducing DeepSeek-R1.

Researcher affiliated with DeepSeek-AI and co-author of the Nature paper introducing DeepSeek-R1.