author
PhD Candidate
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Brown University
Peilin Yu is a Ph.D. candidate in the Computer Science Department at Brown University, where he is advised by Professor Stephen H. Bach. He focuses on innovative methods for addressing weak supervision challenges and harnessing foundation models to improve weak supervision practices. His work has been presented at conferences such as ICLR, ACL, AISTATS, and IEEE Big Data.
The latest from Peilin
Blog
Alfred: Data labeling with foundation models and weak supervision
Introducing Alfred: an open-source tool for combining foundation models with weak supervision for faster development of academic data sets.
