Sam Bowman
Sam Bowman is Associate Professor of Linguistics, Data Science, and Computer Science at NYU and, during a 2022–2023 sabbatical, a member of technical staff at Anthropic. His research focuses on developing techniques and datasets for use in controlling and evaluating large language models, and additionally on applications of machine learning to scientific questions in linguistic syntax and semantics. He is the senior organizer behind the GLUE and SuperGLUE benchmark competitions, and his work has been funded by the US NSF (including through a CAREER award), Google, Apple, Samsung, Schmidt Futures, and Open Philanthropy, among others.
Sam Bowman is Associate Professor of Linguistics, Data Science, and Computer Science at NYU and, during a 2022–2023 sabbatical, a member of technical staff at Anthropic. His research focuses on developing techniques and datasets for use in controlling and evaluating large language models, and additionally on applications of machine learning to scientific questions in linguistic syntax and semantics. He is the senior organizer behind the GLUE and SuperGLUE benchmark competitions, and his work has been funded by the US NSF (including through a CAREER award), Google, Apple, Samsung, Schmidt Futures, and Open Philanthropy, among others.