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Tianle Li

Ph.D. Student
The Chinese University of Hong Kong
1155225844@link.cuhk.edu.hk


About Me

I am a first-year Ph.D. student in Computer Science at the Chinese University of Hong Kong, working under the supervision of Professor Yu Cheng. My current research focuses on advancing multimodal large language models (LLMs), exploring how these models can integrate and process diverse forms of data to drive innovation in AI.

Prior to my Ph.D., I earned my Master’s degree from the University of Waterloo, where I conducted research under the guidance of Professor Wenhu Chen. My academic journey began at HKUST, where I completed my Bachelor’s degree in Data Science. During my studies, I had the opportunity to intern at several leading tech organizations, including Microsoft Research Asia (MSRA), Alibaba DAMO Academy, Google, and Tencent. These experiences have equipped me with a broad perspective on the application of AI technologies across various industries.

Beyond my academic and professional pursuits, I enjoy spending my spare time fishing and cooking, finding creativity and relaxation in both activities.

Research Interests

News

Publications

  1. arXiv preprint
    Long-context llms struggle with long in-context learning
    Tianle Li, Ge Zhang, Quy Duc Do, Xiang Yue, Wenhu Chen
    PDF Code preprint

  2. arXiv preprint
    GenAI Arena: An Open Evaluation Platform for Generative Models
    Dongfu Jiang*, Max Ku*, Tianle Li*, Yuansheng Ni, Shizhuo Sun, Rongqi Fan, Wenhu Chen
    PDF Code preprint

  3. arXiv preprint
    Mmlu-pro: A more robust and challenging multi-task language understanding benchmark
    Yubo Wang, Xueguang Ma, Ge Zhang, Yuansheng Ni, Abhranil Chandra, Shiguang Guo, Weiming Ren, Aaran Arulraj, Xuan He, Ziyan Jiang, Tianle Li, Max Ku, Kai Wang, Alex Zhuang, Rongqi Fan, Xiang Yue, Wenhu Chen
    PDF Code preprint

  4. ICLR 2024
    Imagenhub: Standardizing the evaluation of conditional image generation models
    Max Ku, Tianle Li, Kai Zhang, Yujie Lu, Xingyu Fu, Wenwen Zhuang, Wenhu Chen
    PDF Code

  5. TMLR 2023
    DreamEdit: Subject-driven Image Editing
    Tianle Li, Max Ku, Cong Wei, Wenhu Chen
    PDF Code

  6. ACL 2023
    Few-shot In-context Learning for Knowledge Base Question Answering
    Tianle Li, Xueguang Ma, Alex Zhuang, Yu Gu, Yu Su, Wenhu Chen
    PDF Code

  7. ACL 2023 Findings
    AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks
    Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang
    PDF

  8. arXiv preprint
    Fake news detection with heterogeneous transformer
    Tianle Li, Yushi Sun, Shang-ling Hsu, Yanjia Li, Raymond Chi-Wing Wong
    PDF Code

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Conference Reviewers


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