Beizhe Hu 胡焙哲

I am a 3rd-year postgraduate student under the supervision of Prof. Juan Cao at Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS). My research interests include:

  • Fake News/Misinformation Detection and Fact-Checking
  • Natural Language Understanding and Data Mining
  • AI Safety and AI for Safety

Contact: hubeizhe21s [AT] ict [dot] ac [dot] cn

GitHub    /    Google Scholar    /    DBLP

05/2023 One first-authored paper got accepted by ACL 2023.
Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection (arXiv:2309.12247)
[ACL 2023]  Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection
Beizhe Hu, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Zhengjia Wang, and Zhiwei Jin
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics
Preprint / Paper / Poster / Slides
TL;DR: We propose to address the temporal shift issue in real-world fake news detection systems via forecasting topic-level trends and accordingly adjusting the detector update strategy.
2021- M. E. in Computer Technology (Candidate)
University of Chinese Academy of Sciences (Cultivation Unit: Institute of Computing Technology, Chinese Academy of Sciences)
2017-2021 B. E. in Software Engineering
School of Computer Science and Technology, Xidian University
Honors and Awards
2023 National Scholarship, Ministry of Education of China
2023 First-Class Academic Scholarship, University of Chinese Academy of Sciences
2023 Merit Student, University of Chinese Academy of Sciences
2019, 2020 First-Class Academic Scholarship, Xidian University
2018, 2021 Second-Class Scholarship, Xidian University
2018 First Prize, Green Computing Innovation Competition