publications

publications by categories in reversed chronological order.

2026

  1. arXiv
    BehaviorBench: Benchmarking Foundation Models for Behavioral Science Tasks
    Jin Huang*, Yutong Xie*, Wanli Song, Xingjian Zhang, Walter Yuan, Matthew O. Jackson, and Qiaozhu Mei
    arXiv preprint arXiv:2606.24162, 2026
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  2. ACL 2026
    Your Reasoning Benchmark May Not Test Reasoning: Revealing Perception Bottleneck in Abstract Reasoning Benchmarks
    Xinhe Wang, Jin Huang, Xingjian Zhang, Tianhao Wang, and Jiaqi W. Ma
    Annual Meeting of the Association for Computational Linguistics, 2026
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2025

  1. arXiv
    Idea2Plan: Exploring AI-Powered Research Planning
    Jin Huang, Silviu Cucerzan, Sujay Kumar Jauhar, and Ryen W. White
    arXiv preprint arXiv:2510.24891, 2025
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  2. ICLR 2025
    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
    International Conference on Learning Representations, 2025
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  3. NAACL 2025
    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
    The Nations of the Americas Chapter of the Association for Computational Linguistics, 2025
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  4. NAACL 2025
    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
    The Nations of the Americas Chapter of the Association for Computational Linguistics, 2025
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  5. KDD 2025, Oral
    DCA-Bench: A Benchmark for Dataset Curation Agents
    Benhao Huang, Yingzhuo Yu, Jin Huang, Xingjian Zhang, and Jiaqi Ma
    Knowledge Discovery and Data Mining, Dataset and Benchmark Track, 2025
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  6. arXiv
    Be.FM: Open Foundation Models for Human Behavior
    Yutong Xie, Zhuoheng Li, Xiyuan Wang, Yijun Pan, Qijia Liu, Jin Huang, Matthew O. Jackson, Qiaozhu Mei, and  others
    arXiv preprint arXiv:2505.23058, 2025
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  7. SSRN
    A Survey of Data Attribution: Methods, Applications, and Evaluation in the Era of Generative AI
    Junwei Deng, Yuzheng Hu, Pingbang Hu, Ting-Wei Li, Jin Huang, Jiaqi W. Ma, and  others
    SSRN preprint, 2025
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2024

  1. TMLR 2024
    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
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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 International Conference on Machine Learning, 2023
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2022

  1. LoG 2022, Oral
    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
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