Peilin Yu

CIT 351
115 Waterman St
Providence, RI 02905
I am a Ph.D. Candidate in Computer Science advised by Prof. Stephen Bach.
My main focus is on tackling weak supervision problems using approaches that involve working with limited, indirect, and/or noisy supervision while minimizing human effort. Additionally, I investigate the benefits of leveraging foundation models (GPTs, T5s, CLIP etc.) to enhance weak supervision workflow.
I am a proud 👐🏟🧀 Badger and I got my BS in CS and Math there in 2019.
Email : [first_name]_[last_name] [at] brown [dot] edu
news
Feb 27, 2023 | We released Alfred, a toolkit for integrating Large Pretrained Models into Weak Supervision |
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