Colin Raffel
University of Toronto associate professor and Hugging Face faculty researcher; first author of the T5 paper
- Associate Professor, Department of Computer Science, University of Toronto13
- Associate Research Director, Vector Institute13
- Faculty Researcher, Hugging Face123
Colin Raffel is an associate professor of computer science at the University of Toronto, an associate research director at the Vector Institute, and a faculty researcher at Hugging Face; Raffel's lab works on decentralizing, democratizing, and de-risking large-scale AI. Raffel's CV lists Google Brain positions from 2016 to 2021, the last as Staff Research Scientist, and an assistant professorship at UNC Chapel Hill from 2020 to 2023. Raffel is first author of Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer, which converts text-based language problems into a text-to-text format, and the google-research/text-to-text-transfer-transformer repository that accompanies it is released under the Apache 2.0 license.1345
Work
T5 (Text-to-Text Transfer Transformer) (external site: github.com)Open-source code
First author of the T5 paper (2019), which introduces a unified text-to-text framework and the Colossal Clean Crawled Corpus; the Apache-2.0 google-research/text-to-text-transfer-transformer repository links the paper and lists Raffel first in its citation.45
Earlier roles
- Research Scientist, Senior Research Scientist, and Staff Research Scientist (2017–2021), Google Brain32
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