Xi Ye

(Incoming) Assistant Professor, Faculty of Science - Computing Science

Personal Website: https://xiye17.github.io/

Contact

(Incoming) Assistant Professor, Faculty of Science - Computing Science
Email
xi.ye@ualberta.ca

Overview

Area of Study / Keywords

natural language processing machine learning artificial intelligence


About

Xi Ye is an incoming Assistant Professor in the Department of Computing Science at the University of Alberta. He obtained his PhD from the Department of Computer Science at UT Austin, and his Bachelor's degree from the School of Software, Tsinghua University.


Research

My research is primarily in the field of Natural Language Processing and Machine Learning, with an emphasis on improving the explainability of large language models and enhancing their reasoning capabilities. I also work on program synthesis.

Recently, I am interested in the these directions:

  • Make LMs better at reasoning over general, open-ended tasks beyond verifiable domains
  • Improve robustness and efficiency of RL training for LM reasoning
  • Build stronger coding agents leveraging symbolic tools


Announcements

I am recruiting 1-2 fully funded PhD/MS students in the upcoming cycle. (To prospective students: please email me at xi.ye@ualberta.ca and include "Fall 26 Prospective Student" in email subject line.)