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个人简介
I'm currently interested in making large, neural language models easier to understand. One direction is to design models that are inherently interpretable, so that we can automatically convert models into formats that are easier to inspect and understand, such as discrete computer programs. I'm also interested in approaches that take a more behavioral view, to better characterize the strengths and limitations of large language models (example 1; example 2). Some of my more general interests include unsupervised structure learning, formal languages, probabilistic models, and inductive bias. I'm also interested in applications of NLP to humanities research and am involved with the Princeton Center for Digital Humanities .
研究兴趣
论文共 12 篇作者统计合作学者相似作者
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arxiv(2024)
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CoRR (2023)
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arXiv (Cornell University)no. 8 (2023): 6093-6100
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CoRR (2023)
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