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yjyddq/README.md

Hi, I'm Jingyi Yang

1st. Ph.D. student at Fudan University & Shanghai AI Lab. My current research interests includes: Computer-Use, AI Agents, Reinforcement Learning, and Diffusion Large Language Models. Homepage · Google Scholar · yangjingyi946@gmail.com

Highlights

  • WildClawBench: Hard, practical, end-to-end evaluation for AI agents — in the wild.
    Project · Code · GitHub Repo stars

  • DARE: Diffusion Large Language Models Alignment and Reinforcement Executor.
    Code · GitHub Repo stars

  • [NeurIPS 2025] RiOSWorld: Benchmarking the risk of multimodal computer-use agents.
    Project · Code · GitHub Repo stars

  • [ICLR 2026] Your agent may misevolve: Emergent risks in self-evolving llm agents.
    Code · GitHub Repo stars

  • LLaDA2.X: A Series of Large Diffusion Language Models (from LLaDA2.0 to LLaDA2.2 and onwards...).
    HugginFace · Report · Code · GitHub Repo stars

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  1. DARE DARE Public

    Official repository of DARE: Diffusion Large Language Models Alignment and Reinforcement Executor

    Python 215 7

  2. RiOSWorld RiOSWorld Public

    [NeurIPS 2025] Official repository of RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents

    HTML 124 9

  3. InternLM/WildClawBench InternLM/WildClawBench Public

    An in-the-wild benchmark for AI agents in the production harness.

    Python 516 61

  4. sgl-project/sglang sgl-project/sglang Public

    SGLang is a high-performance serving framework for large language models and multimodal models.

    Python 33k 8.4k

  5. EOSER-ASS-RL EOSER-ASS-RL Public

    Official Repository of "Taming Masked Diffusion Language Models via Consistency Trajectory Reinforcement Learning with Fewer Decoding Step"

    Python 28 1

  6. rho-EOS rho-EOS Public

    Official Repository of "ρ-𝙴𝙾𝚂: Training-free Bidirectional Variable-Length Control for Masked Diffusion LLMs"

    Python 7