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Percy Liang is an Associate Professor of Computer Science at Stanford University and a Senior Fellow at the Stanford Institute for Human-Centered Artificial Intelligence. He directs the Center for Research on Foundation Models (CRFM). His research focuses on making foundation models, particularly language models, more accessible, open-source, and rigorously benchmarked. Previously, he has worked on topics related to machine learning, natural language processing, robustness, interpretability, human interaction, learning theory, grounding, semantics, and reasoning. He is a strong proponent of reproducibility in research and has contributed to the creation of CodaLab Worksheets. Liang's innovative work has earned him several prestigious awards, such as the Presidential Early Career Award for Scientists and Engineers in 2019, the IJCAI Computers and Thought Award in 2016, the NSF CAREER Award in 2016, and the Sloan Research Fellowship in 2015. He has also received various paper awards from top conferences such as ACL, EMNLP, ICML, COLT, ISMIR, CHI, UIST, and RSS.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.