DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Researcher at DeepSeek whose public homepage describes work on DeepSeek R1, V1, V2, V3, Math, Coder, and mixture-of-experts systems.

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 intern at DeepSeek and machine learning researcher working on efficient large language models, reinforcement learning, and AI coding systems.

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.

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.