1910.10683

arxiv.org · 8,614 words · saved by 1 readers

N/A

Journal of Machine Learning Research 21 (2020) 1-67 Submitted 1/20; Revised 6/20; Published 6/20 Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel∗ craffel@gmail.com Noam Shazeer∗ noam@google.com…

related reading

transformer_attention.pdfarxiv.org
A Mathematical Framework for Transformer Circuitstransformer-circuits.pub
1706.03762arxiv.org
Exploring Transfer Learning with T5: the Text-To-Text Transfer Transformerai.googleblog.com
1810.04805arxiv.org
radford2018improving.pdfcs.ubc.ca
[2005.14165] Language Models are Few-Shot Learnersarxiv.org
[2106.09685] LoRA: Low-Rank Adaptation of Large Language Modelsarxiv.org
https://aclanthology.org/P19-1285.pdfaclanthology.org
[2512.23675] End-to-End Test-Time Training for Long Contextarxiv.org
The Annotated Transformernlp.seas.harvard.edu
[2005.11401] Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasksarxiv.org