All Work Published on Natural Language Processing
Predicting initiation points based on voice intonation instead of silence detection could lead to the next generation of voice assistant technology.
Predicting initiation points based on voice intonation instead of silence detection could lead to the next generation of voice assistant technology.
Scholars track how models change with scale.
Scholars track how models change with scale.
The HAI and CCSRE fellow hopes to bring the complexity and value of African American Vernacular English to natural language processing.
The HAI and CCSRE fellow hopes to bring the complexity and value of African American Vernacular English to natural language processing.
Percy Liang on the Center for Research on Foundation Models' First and Next 30 Years
In this podcast, two scholars discuss being 'weirded out' by GPT-3, unresolved questions in building best practices, and the future of CRFM.
In this podcast, two scholars discuss being 'weirded out' by GPT-3, unresolved questions in building best practices, and the future of CRFM.
Researchers study how humans and AI can write together by designing large interaction datasets.
Researchers study how humans and AI can write together by designing large interaction datasets.
The Time Is Now to Develop Community Norms for the Release of Foundation Models
Perspectives about the benefits and risks of release vary widely. We propose setting up a review board to develop community norms and encourage coordination on release for research access.
Perspectives about the benefits and risks of release vary widely. We propose setting up a review board to develop community norms and encourage coordination on release for research access.
