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Colin Raffel — most-cited papers & profile · AI for Code
← authors
·
overview
Colin Raffel
10
papers ·
413
citations ·
49
h-index
Vector Institute
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
2022 · 293 citations
ByT5: Towards a token-free future with pre-trained byte-to-byte models
2021 · 69 citations
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
2024 · 19 citations
Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models
2023 · 5 citations
FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language
2025
Top co-authors
Guilherme Penedo
· 2
Haokun Liu
· 2
Leandro Von Werra
· 2
Mohammed Muqeeth
· 2
Tenghao Huang
· 2
Adam Roberts
· 1
Aditya Barua
· 1
Amir Hossein Kargaran
· 1
Anisha Mascarenhas
· 1
Anton Lozhkov
· 1
Bettina Messmer
· 1
Brian Lester
· 1
Topics
pretraining
datasets
Code Models
language
inference
training
Software Engineering
LLMs