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Runxin Xu

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

Researcher1 organizations6 reports

Profile status: updated

Runxin Xu portrait
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Contributions are treated as untrusted leads. Public changes happen only after review against public sources.

Trust signals

Profile completeness72%
Public sources3
Official sources2
CountryUnknown
Last reviewedMar 12, 2026
Review outcomeUpdated
Official homepage Scholar profile
updated Unknown location 3 public sources

Latest review note

Resolved prior ambiguity with a verified homepage and profile links tied to DeepSeek work.

Public links

website Personal homepage github GitHub profile google_scholar Google Scholar profile

Organizations

core DeepSeek

Reports

Large Language Models DeepSeek-V3 Technical Report Large Language Models DeepSeek-V2 Technical Report Mathematical Reasoning Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models Vision-Language Models DeepSeek-VL: Towards Real-World Vision-Language Understanding Code Language Models DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence Mathematical Reasoning Models DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search

Official and primary sources

https://runxinxu.github.io/aboutme/ Official source · homepage https://scholar.google.com/citations?hl=en&user=dRp21l4AAAAJ Official source · scholar

Supporting sources

https://github.com/RunxinXu Supporting source · github

LLMpeople is a public atlas for discovering frontier AI researchers with context, provenance, and respect.