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Ph.D. candidate at the University of Washington researching augmented and modular language model architectures.
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Weijia Shi is a Ph.D. candidate at the University of Washington. Her research focuses on building augmented and modular architectures to improve the quality, efficiency, and capabilities of language models.
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Ph.D. candidate at the University of Washington researching augmented and modular language model architectures.