About Me

Gongyao Jiang (蒋功耀) is a first-year Ph.D student at The Hong Kong University of Science and Technology (Guangzhou), supervised by Prof. Qiong Luo. Before that, he earned a master’s degree at Tianjin University, supervised by Prof. Meishan Zhang. His research interest is data science and natural language processing.

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Interests
  • Artificial Intelligence
  • Computational Linguistics
  • Human Computer Interaction
Education

  • Ph.D. Student in Data Science and Analytics

    The Hong Kong University of Science and Technology (Guangzhou)

  • M.Eng. in Computer Technology

    Tianjin University

  • B.Eng. in Network Engineering

    Guangdong University of Technology

📚 My Research

My research focuses on large language models for social science, especially for knowledge dissemination and educational facilitation. Beyond LLM application, I am also interested in exploring their fundamental principles and inherent limitations.

Please reach out to collaborate. 😃

Recent Publications
Gongyao Jiang, Xinran Shi, Qiong Luo (2024). LLM-Collaboration on Automatic Science Journalism for the General Audience. In Arxiv.CL.
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Zhuang Chen*, Jincenzi Wu*, Jinfeng Zhou*, Bosi Wen*, Guanqun Bi, Gongyao Jiang, Yaru Cao, Yunghwei Lai, Zexuan Xiong, Minlie Huang (2024). ToMBench: Benchmarking Theory of Mind in Large Language Models. In Annual Meeting of the Association for Computational Linguistics (ACL) 2024.
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Meishan Zhang, Gongyao Jiang, Shuang Liu, Jing Chen, Min Zhang (2024). LLM-Assisted Data Augmentation for Chinese Dialogue-Level Dependency Parsing. In Computational Linguistics (2024).
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Gongyao Jiang, Shuang Liu, Meishan Zhang, Min Zhang (2023). A Pilot Study on Dialogue-Level Dependency Parsing for Chinese. In Findings of the Association for Computational Linguistics (ACL) 2023.
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Gongyao Jiang, Shuang Liu, Yu Zhao, Yueheng Sun, Meishan Zhang (2022). Fake news detection via knowledgeable prompt learning. In Information Processing & Management, 2022.
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