publications

publications by categories in reversed chronological order.

2024

  1. SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
    Sihang Li*, Jin Huang*, Jiaxi Zhuang, Yaorui Shi, Xiaochen Cai, Mingjun Xu, Xiang Wang, Linfeng Zhang, Guolin Ke, and Hengxing Cai
    Foundation Models for Science Workshop, NeurIPS, 2024
  2. Sciassess: Benchmarking llm proficiency in scientific literature analysis
    Hengxing Cai, Xiaochen Cai, Junhan Chang, Sihang Li, Lin Yao, Changxin Wang, Zhifeng Gao, Yongge Li, Mujie Lin, Shuwen Yang, and  others
    arXiv preprint arXiv:2403.01976, 2024
  3. arxiv
    MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows
    Xingjian Zhang, Yutong Xie, Jin Huang, Jinge Ma, Zhaoying Pan, Qijia Liu, Ziyang Xiong, Tolga Ergen, Dongsub Shim, Honglak Lee, and Qiaozhu Mei
    2024
  4. arxiv
    DCA-Bench: A Benchmark for Dataset Curation Agents
    Benhao Huang, Yingzhuo Yu, Jin Huang, Xingjian Zhang, and Jiaqi Ma
    2024
  5. TMLR
    Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why?
    Jin Huang, Xingjian Zhang, Qiaozhu Mei, and Jiaqi Ma
    Transactions on Machine Learning Research, 2024

2023

  1. ICML 2023
    HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation
    Lu Chen, Siyu Lou, Keyan Zhang, Jin Huang, and Quanshi Zhang
    In Proceedings of the 40th International Conference on Machine Learning, 23–29 jul 2023

2022

  1. LoG 2022
    Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks
    Jiaqi Ma, Xingjian Zhang, Hezheng Fan, Jin Huang, Tianyue Li, Ting Wei Li, Yiwen Tu, Chenshu Zhu, and Qiaozhu Mei
    In Proceedings of the First Learning on Graphs Conference, 09–12 dec 2022