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Postdoc at MIT CSAIL.
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Yifei Wang
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2026-02-21 03:01:34
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Yifei Wang Toggle navigation about (current) research service talks awards misc Yifei Wang (on the job market!) Postdoctoral researcher at MIT CSAIL , advised by Stefanie Jegelka . My goal is to develop models that learn from massive data with minimal human efforts, which drives my persistent interests in self-supervised foundation models. My research has contributed to unveiling the key principles underlying these foundation models and designing efficient algorithms to improve their capabilities and safety: Mathematical Principles of Foundation Models . We established theoretical foundations for a broad spectrum of Self-Supervised Learning (SSL) methods that are at the heart of foundation models, from contrastive [ 1 , 2 ], non-contrastive [ 3 ], autoregressive [ 4 ], reconstructive [ 5 ], to predictive [ 6 ] approaches. Our recent work further pioneered the first rigorous theory [ 7 ] for the self-correction ability of LLMs, a key mechanism for...
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