Pengfei Cao
Scholar

Pengfei Cao

Google Scholar ID: lP5_LJIAAAAJ
Institute of Automation, Chinese Academy of Sciences
Natural Language ProcessingLarge Language ModelsInformation Extraction
Citations & Impact
All-time
Citations
1,465
 
H-index
18
 
i10-index
30
 
Publications
20
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • Published over 50 papers in top-tier conferences such as NeurIPS, AAAI, ICLR, ACL, EMNLP, NAACL, COLING, CIKM. Recent publications include:
  • - November 2025, one paper accepted to AAAI 2026.
  • - September 2025, one paper accepted to Scientific Data.
  • - September 2025, one paper accepted to EMNLP 2025.
  • - May 2025, nine papers accepted to ACL 2025.
  • - January 2025, two papers accepted to ICLR 2025.
  • - January 2025, two papers accepted to NAACL 2025.
  • - December 2024, three papers accepted to AAAI 2025.
  • - December 2024, one paper accepted to NeurIPS 2024.
  • - September 2024, four papers accepted to EMNLP 2024.
  • - May 2024, four papers accepted to ACL 2024.
  • - December 2023, four papers accepted to LREC-COLING 2024.
  • - December 2023, one paper accepted to AAAI 2024.
  • - November 2023, seven papers accepted to EMNLP 2023.
  • - November 2022, one long paper accepted to AAAI 2023.
  • - October 2022, one main conference paper and one demo paper accepted to EMNLP 2022.
  • - August 2021, two main conference papers accepted to EMNLP 2021.
  • - May 2021, three main conference papers and one findings paper accepted to ACL 2021.
Research Experience
  • Currently an Assistant Professor at the Institute of Automation, Chinese Academy of Sciences. Previous research experience includes publishing papers in top-tier conferences such as NeurIPS, AAAI, ICLR, ACL, EMNLP, NAACL, COLING, CIKM.
Education
  • Received a Ph.D. degree from the Institute of Automation, Chinese Academy of Sciences (CASIA) in 2023, under the supervision of Prof. Jun Zhao.
Background
  • Currently an Assistant Professor at the Institute of Automation, Chinese Academy of Sciences. Research interests include: 1. Interpretability of LLMs: Analysis of the Activation and Emergence Mechanism of Knowledge and Ability; 2. Enhancement of LLMs: Enhancement of Knowledge, Reasoning, and Planning Abilities.
Miscellany
  • The research group is recruiting interns. Interested students are welcome to contact (long-term availability).