Percy Liang
About
Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. from MIT, 2004; Ph.D. from UC Berkeley, 2011) and the director of the Center for Research on Foundation Models (CRFM). He is currently focused on making foundation models (in particular, language models) more accessible through open-source and understandable through rigorous benchmarking. In the past, he has worked on many topics centered on machine learning and natural language processing, including robustness, interpretability, human interaction, learning theory, grounding, semantics, and reasoning. He is also a strong proponent of reproducibility through the creation of CodaLab Worksheets. His awards include the Presidential Early Career Award for Scientists and Engineers (2019), IJCAI Computers and Thought Award (2016), an NSF CAREER Award (2016), a Sloan Research Fellowship (2015), a Microsoft Research Faculty Fellowship (2014), and paper awards at ACL, EMNLP, ICML, COLT, ISMIR, CHI, UIST, and RSS.
Research Performance Summary
First Recorded Paper
Advances in neural information processing systems
Year: 1989
Citations: 598
Venue: N/A
Latest Recorded Paper
VLAW: Iterative Co-Improvement of Vision-Language-Action Policy and World Model
Year: 2026
Citations: 0
Venue: arXiv preprint arXiv:2602.12063
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.