Yifan Gao
Scholar

Yifan Gao

Google Scholar ID: erdMFJwAAAAJ
Senior Applied Scientist, Amazon
LLMQuestion AnsweringText GenerationDialog SystemsNatural Language Processing
Citations & Impact
All-time
Citations
1,125
 
H-index
20
 
i10-index
25
 
Publications
20
 
Co-authors
80
list available
Resume (English only)
Academic Achievements
  • Published multiple papers in conferences such as ICML'25, ACL'25, and NAACL'25, covering topics like memory extension, e-commerce script planning, and unifying retrieval and response generation in conversations.
Research Experience
  • Working at Amazon Rufus team, building large language models for shopping, developing LLM scaling laws, and using these findings to determine key pre-training modeling factors, predict benchmark performance, and guide pre-training data recipes.
Education
  • Ph.D. in Computer Science from the Chinese University of Hong Kong, supervised by Prof. Irwin King and Prof. Michael R. Lyu.
Background
  • Senior Applied Scientist at Amazon Rufus team, with research interests in natural language processing and machine learning. During his PhD, he focused on teaching machines to ask and answer reading comprehension questions, covering knowledge assessment and information acquisition.
Miscellany
  • Offers research internship positions at Amazon for those interested in LLM pre-training. Feel free to send your CV.