John Hewitt · Language & Machine Learning

Hi! I’m a fifth year PhD student in computer science at Stanford University. I conduct research in natural language processing and machine learning. I am grateful to be co-advised by Chris Manning and Percy Liang, and to be supported by an NSF Graduate Research Fellowship. My research goals are to develop precise understanding of language processing systems, and to build new language processing systems that become understandable as they learn. I am the Head TA (Co-Instructor) of Stanford’s CS224n: Natural Language Processing with Deep Learning. (in 2021 and 2023.) Feel free to look me up on Google Scholar or Twitter, or take my CV. Truncation Sampling as Language Model Desmoothing. John Hewitt, Christopher D. Manning, Percy Liang. Findings of EMNLP 2022 (long papers). (pdf) (blog) (code) JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset. Ruth-Ann Armstrong, John Hewitt, Christopher D. Manning. Findings of EMNLP 2022 (long papers). (pdf) (blog) (talk) (dataset

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