Ximing Lu


I am a Ph.D. student working on Natural Language Processing and Artificial Intelligence at the University of Washington and Allen Institute for AI, advised by Professor Yejin Choi. Previously, I received my B.S. degree in Computer Science at University of Washington.

My broad research goal is to understand the boundaries of machine intelligence and bridge the capability gap between models and humans by exploring alternative paths beyond scaling, such as algorithmic innovations and knowledge enhancement. Over the past few years, I have focused on studying the capabilities and limits of language models, as well as developing learning and inference algorithms to unlock capabilities in smaller models, for example:

I am happy to mentor a few self-motivated undergraduate and master students. Please feel free to reach out if you are interested in working with me!

Email: lux32 [at] cs.washington.edu

Links: [Google Scholar] [Twitter] [Github] [CV] [Research Statement]


Publications are listed in reverse chronological order. For a list of all publications, please check out my Google Scholar

Honors & Awards

Teaching Experience

  • (Winter, 2024) TA @ CSE 447/517 (Undergrad/Grad NLP) at University of Washington
  • (Winter, 2021)-TA @ CSE P517 (Professional NLP) at University of Washington