Zheng (Jackie) Li
Scholar

Zheng (Jackie) Li

Google Scholar ID: P6fwn4AAAAAJ
Senior Applied Scientist, Amazon Store Foundation Modeling
Large Language ModelsNatural Language ProcessingTransfer LearningPost-training
Citations & Impact
All-time
Citations
2,160
 
H-index
23
 
i10-index
34
 
Publications
20
 
Co-authors
20
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published multiple papers in top conferences and journals such as Nature Reviews Bioengineering, ACL, EMNLP, ICML, KDD. Won the ACL 2023 Outstanding Paper Award. Led several projects including Rufus (the first LLM-based Shopping Assistant) and COSMO (the world’s largest LLM-powered shopping KG).
Research Experience
  • Senior Applied Scientist at Amazon Search (A9) since 2020; Research Intern at Google Research NLX Group from Jun 2020 to Sep 2020; Applied Scientist Intern at Amazon Search and NLP group from Sep 2019 to Dec 2019; Research Intern at HKUST Fok Ying Tung Research from Jun 2016 to Aug 2016; Research Intern at Microsoft Research Asia (MSRA) Multimedia Search and Mining Group from Jul 2015 to Oct 2015.
Education
  • Ph.D. from HKUST CSE, supervised by Prof. Qiang Yang.
Background
  • Currently a LLM post-training lead at Amazon Store Foundation Modeling team, working on post-training data, training paradigm (IFT/DPO/RL/Agentic), application, tooling and live traffic behavior alignment. Research interests focus on building reliable and responsible Generative Foundation Models, specializing in Post-Training and its application.
Miscellany
  • No personal interests or other information provided.