PeopleofSuperintelligence

Researcher

Rui Men

Rui Men is a researcher on Alibaba Group's Qwen Team and is affiliated with Peking University. His work spans vision-language pretraining and large language models. In 2022 he co-authored OFA, a sequence-to-sequence learning framework, and Chinese CLIP, a contrastive vision-language pretraining model in Chinese. He helped develop the Qwen2.5-Coder series, whose technical report appeared on arXiv in September 2024. A gated-attention paper for large language models, which he co-authored, won a NeurIPS 2025 best paper award.

Works
48
Citations
1,487
h-index
16

Publication numbers from OpenAlex, as of 15 October 2026.

Timeline

  1. 2022

    Co-authoring the OFA framework

    He co-authors OFA, a sequence-to-sequence learning framework that unifies architectures, tasks and modalities, published in 2022.

  2. 2022

    Chinese CLIP pretraining

    Chinese CLIP, a contrastive vision-language pretraining model in Chinese, appears on arXiv in November 2022.

  3. September 2024

    Work on Qwen2.5-Coder

    The Qwen2.5-Coder technical report appears on arXiv in September 2024, and he helps develop that series.

  4. July 2025

    Group Sequence Policy Optimization

    He contributes to Group Sequence Policy Optimization, a method for refining model alignment, which appears on arXiv in July 2025.

  5. 2025

    A NeurIPS 2025 best paper

    A gated-attention paper for large language models, co-authored by him, wins a NeurIPS 2025 best paper award.

  6. As of October 2026

    Researcher on the Qwen Team

    As a researcher on Alibaba Group's Qwen Team, he is affiliated with Peking University.

Sources and credits

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  1. Rui Men | alphaXiv alphaxiv.org. Checked 15 October 2026.
  2. OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework proceedings.mlr.press. Checked 15 October 2026.
  3. [2211.01335] Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese arxiv.org. Checked 15 October 2026.
  4. [2409.12186] Qwen2.5-Coder Technical Report arxiv.org. Checked 15 October 2026.
  5. [2507.18071] Group Sequence Policy Optimization arxiv.org. Checked 15 October 2026.
  6. NeurIPS 2025 Awards neurips.cc. Checked 15 October 2026.
  7. [2505.06708] Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free arxiv.org. Checked 15 October 2026.