Weijie Xu
Scholar

Weijie Xu

Google Scholar ID: lWjp-dQAAAAJ
Amazon
LLM FairnessLLM EvaluationTabular LLM
Citations & Impact
All-time
Citations
337
 
H-index
7
 
i10-index
6
 
Publications
20
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • - Published papers in prestigious academic conferences such as ACL and EMNLP
Research Experience
  • - Amazon: Owns a production system focused on domain-specific LLM evaluations; developed and implemented a unified tabular deep learning framework to address internal prediction tasks such as safety assessments and headcount forecasting; built a weakly-supervised topic modeling system capable of analyzing millions of internal documents; designed an advanced agent-based system to replace traditional surveys for internal applications
  • - Schlumberger: Served as a Senior Data Scientist, co-founded the company's first data science team dedicated to addressing employee attrition challenges through innovative tabular deep learning techniques
Education
  • - Master's Degree: Master of Arts in Statistics, University of California, Berkeley (2018)
  • - Bachelor's Degree: Bachelor of Science in Applied Mathematics with a minor in Computer Science, University of Toronto (2017)
Background
  • - Research Interests: Large Language Model Evaluation, Agent-based Systems
  • - Professional Field: Machine Learning, Deep Learning, Natural Language Processing
  • - Brief Introduction: Currently a Senior Applied Scientist at Amazon, focusing on domain-specific LLM evaluations
Miscellany
  • Contact: xwjzds.xu@gmail.com
  • LinkedIn, Google Scholar, Amazon Science