PeopleofSuperintelligence

Researcher

Wenbiao Yin

Also known as 尹文彪

Wenbiao Yin is a researcher at Alibaba’s Tongyi Lab, where his work focuses on large language models and agents. He earned a B.E. from South China University of Technology in 2021 and an M.E. from Nanjing University in 2024. In 2025, he coauthored WebWalker, Qwen2.5-1M and Qwen3, and contributed to web-agent research, Qwen3Guard and Tongyi DeepResearch. His work ranged from million-token models and web search agents to multilingual safety systems and a deep research agent whose report reached version 3 in May 2026.

Now at
Alibaba
Badges

Timeline

  1. 2021–2024

    University degrees

    He earns a B.E. from South China University of Technology in 2021 and an M.E. from Nanjing University in 2024.

  2. January 2025

    Qwen2.5-1M models

    In January 2025, he coauthors the Qwen2.5-1M Technical Report, which extends the model family’s context length to 1 million tokens. The series includes the open-source Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M models, plus the API-accessed Qwen2.5-Turbo.

  3. January 2025–July 2025

    The WebWalker benchmark

    In January 2025, he coauthors WebWalker: Benchmarking LLMs in Web Traversal with Jialong Wu, Yong Jiang, Pengjun Xie, Fei Huang and others at Alibaba’s Tongyi Lab. The paper introduces the WebWalkerQA benchmark and a multi-agent web-navigation framework; the 63rd Annual Meeting of the ACL publishes it in Vienna in July 2025.

  4. May 2025

    The Qwen3 report

    In May 2025, he coauthors the Qwen3 Technical Report. Its model family spans dense and mixture-of-experts architectures from 0.6 to 235 billion parameters, combines thinking and non-thinking modes, supports 119 languages and dialects, and releases all models under Apache 2.0.

  5. May 2025–July 2025

    WebDancer, WebSailor and WebShaper

    In May 2025, he coauthors WebDancer, a ReAct-based web agent built through browsing-data construction, supervised fine-tuning and reinforcement learning. In July 2025, he coauthors WebSailor, which uses the DUPO agentic reinforcement-learning algorithm, and WebShaper, which formalizes information-seeking tasks through set theory.

  6. October 2025

    Qwen3Guard safety models

    In October 2025, he coauthors the Qwen3Guard Technical Report on multilingual safety guardrail models. Its Generative and Stream variants come in 0.6B, 4B and 8B sizes, support up to 119 languages and dialects, and are released under Apache 2.0.

  7. October 2025–May 2026

    Tongyi DeepResearch

    In October 2025, he coauthors the Tongyi DeepResearch Technical Report, which presents an agentic model for long-horizon, deep information-seeking research. The model has 30.5 billion total parameters, with 3.3 billion activated per token. Its version 3 in May 2026 names him among its core contributors.

  8. As of October 2026

    Researcher at Tongyi Lab

    As of October 2026, he is a researcher at Alibaba’s Tongyi Lab, where he focuses on large language models and agents. The WebWalker paper lists his Tongyi Lab affiliation in January 2025, and the May 2026 DeepResearch report names the same affiliation.

Career

  1. Since 2025Alibaba

Education

  1. 2024Nanjing UniversityM.E.
  2. 2021South China University of TechnologyB.E.

From the biography.

  1. 16% of AI career moves in the 2020s went from a university to a companyIncludes Wenbiao Yin. We estimate that 16% of AI career moves in the 2020s went from a university to a company; 29% of moves starting at a university went to a company, and 76% ended the university role.
  2. Google alumni have founded or led 133 other organizations, more than any other AI labIncludes Alibaba. We estimate that alumni of 17 major AI labs went on to found or lead 350 other organizations, including 226 they founded, and we trace 472 career moves directly between 23 labs since 2010.
  3. Universities (31%) and startups and other companies (25%) employ the largest shares of 2020–2026 entrantsIncludes Alibaba. Among 819 people whose first recorded role started in 2020–2026 and who have a known current organization, 60% work in commercial sectors (25% at startups and other companies, 23% at frontier labs and 13% at big tech, with 9 in two), and 31% work at universities, compared with 66% for earlier entrants.
  4. The top 10 organizations employed 22% of people shaping AI in 2025: 51% of company researchers and 21% of university researchersIncludes Alibaba. We estimate the share of people shaping AI who worked at the top 10 organizations each year from 1955 to 2025, comparing concentration across companies, universities, and institutes and labs.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Wenbiao Yin yet. Send us a free-licensed photo.

  1. About me - Wenbiao Yin’s Site wenbiaoyin.github.io. Checked 21 October 2026.
  2. [2501.15383] Qwen2.5-1M Technical Report arxiv.org. Checked 21 October 2026.
  3. WebWalker: Benchmarking LLMs in Web Traversal - ACL Anthology aclanthology.org. Checked 21 October 2026.
  4. WebWalker: Benchmarking LLMs in Web Traversal (arXiv HTML, v1) arxiv.org. Checked 21 October 2026.
  5. [2505.09388] Qwen3 Technical Report arxiv.org. Checked 21 October 2026.
  6. [2505.22648] WebDancer: Towards Autonomous Information Seeking Agency arxiv.org. Checked 21 October 2026.
  7. [2507.02592] WebSailor: Navigating Super-human Reasoning for Web Agent arxiv.org. Checked 21 October 2026.
  8. [2507.15061] WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization arxiv.org. Checked 21 October 2026.
  9. [2510.14276] Qwen3Guard Technical Report arxiv.org. Checked 21 October 2026.
  10. [2510.24701] Tongyi DeepResearch Technical Report arxiv.org. Checked 21 October 2026.
  11. Tongyi DeepResearch Technical Report (arXiv HTML, v3) arxiv.org. Checked 21 October 2026.