Baolong Bi
Scholar

Baolong Bi

Google Scholar ID: Pdu35PIAAAAJ
University of Chinese Academy of Sciences
trustworthy large language models
Citations & Impact
All-time
Citations
491
 
H-index
12
 
i10-index
14
 
Publications
20
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • Baolong Bi has had multiple papers accepted at international conferences such as EMNLP 2025, ACL 2025, ICML 2025, ICLR 2025, WWW 2025, NAACL 2025, and COLING 2025. One of his papers was selected for an ORAL presentation at EMNLP 2025.
Research Experience
  • Baolong Bi completed a research internship at MSRA GenAI group and subsequently interned with the Qwen Team, where he worked on pretraining foundation models and served as a core contributor to the latest Qwen backbone model. He is currently visiting the Language Technologies Institute (LTI) at Carnegie Mellon University (CMU) for a one-year research stay under the supervision of Prof. Chenyan Xiong.
Education
  • Baolong Bi is currently pursuing his Ph.D. in Computer Science at the Institute of Computing Technology, Chinese Academy of Sciences, under the supervision of Prof. Shenghua Liu and Prof. Yiwei Wang.
Background
  • Baolong Bi is a Ph.D. student in Computer Science at the Institute of Computing Technology, Chinese Academy of Sciences, advised by Prof. Shenghua Liu and Prof. Yiwei Wang. He is a member of the CAS Key Laboratory of AI Security. His research interests lie in the general area of trustworthy large language models.