Atlas / Reports / Detail
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Large Language Models report from DeepSeek with 8 connected researchers in the LLMpeople atlas.
Connected researchers
Researcher
11 reports
Daya Guo
DeepSeek / Moonshot AI
DeepSeek researcher focused on NLP, code intelligence, and LLM reasoning, with public work spanning DeepSeek-Coder, DeepSeekMath, DeepSeek-V2, DeepSeek-V3, and DeepSeek-R1.
Researcher
8 reports
Qihao Zhu
DeepSeek
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.
Researcher
6 reports
Dejian Yang
DeepSeek
DeepSeek team member and co-author of the DeepSeek-V3, DeepSeek-V2, and DeepSeek LLM technical reports.
Researcher
6 reports
Y. Wu
DeepSeek
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.
Researcher
1 reports
Mao Zheng
DeepSeek
Co-founder of DeepSeek who leads pre-training and post-training research, with a focus on language models, reasoning models, and reinforcement learning.
Researcher
8 reports
Junxiao Song
DeepSeek
Member of Technical Staff at DeepSeek.
Researcher
7 reports
Haowei Zhang
DeepSeek
Research scientist at DeepSeek with public GitHub work on language models and AI systems.
Researcher
6 reports
Peiyi Wang
DeepSeek
Research scientist at DeepSeek with public GitHub projects on AI systems.