What is Sam Bowman researching?

Sam Bowman is an Associate Professor of Linguistics, Data Science & Computer Science at NYU. During the 2022–2023 academic year he is taking a sabbatical working at Anthropic.

His research focuses on aligning language models. This includes the development of datasets and benchmarks for evaluating language models and exploring the inductive biases of language models and the viability of transfer learning for natural language processing. He is also involved in the Inverse Scaling Prize.

For an example of his research see: Language Models (Mostly) Know What They Know



AISafety.info

We’re a global team of specialists and volunteers from various backgrounds who want to ensure that the effects of future AI are beneficial rather than catastrophic.