publications

* equal contribution

first / co-first author

  1. NeurIPS
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    TraceML: What Auto-Research Agents Miss in Long-Horizon ML Development
    Jiarui Yan*, Weiwei Sun*, Sijie Li, Wenhan Li, and Yiming Yang
    In Advances in Neural Information Processing Systems (NeurIPS), Track on Evaluations and Datasets, 2026
    Also at the COLM 2026 Workshop on Agent Behavior and the NeurIPS 2026 Workshop on Evaluation of Interactive Agents
    arXiv Code Website
  2. arXiv
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    ReScraper: Unified Scraping and Cleaning of Web Data for Effective LLM Pretraining
    Zichun Yu*, Jiarui Yan*, Shlok Sanghvi, Nihar Atri, and Chenyan Xiong
    Under review, 2026
    arXiv Code Website
  3. arXiv
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    Learning to Construct Practical Agentic Systems
    Aditya Kumar*, Zhihan Lei*, Jiarui Yan*, Joshua W. Momo, Lauhitya Reddy, Rafael Enrique Cabrera Jimenez, Cassandra A. Cohen, Arthur Kajiyama, and William W. Cohen
    Under review, 2026
    arXiv
  4. POMS
    Will the Fork Be with You? How Forks Drive User Contributions on Open-Source Platforms
    Jiarui Yan, Jane Tan, and Yong Tan
    In 35th Annual Conference of the Production and Operations Management Society (POMS), ISOM Track, 2025

other contributions

  1. Preprint
    Which Environments Should LLMs Learn From? Predicting RL Utility Across Scale
    Varun Madan, Brando Miranda, Zhanke Zhou, Srivatsava Daruru, Jiarui Yan, Elyas Obbad, and Sanmi Koyejo
    Under review, 2026
  2. Preprint
    Learning Reusable Agent Subroutines from Experience
    Zhihan Lei, Jiarui Yan, Joshua Wisdom Momo, and William W. Cohen
    Under review, 2026