Unsupervised Neural Machine Translation with Generative Language Models Only

Source
doi.org
Published
Oct 11, 2021

We show how to derive state-of-the-art unsupervised neural machine translation systems from generatively pre-trained language models. Our method consists of three steps: few-shot amplification, distillation, and backtranslation. We first use the zero-shot t...

doi.org

Info

Published
Oct 11, 2021
Uploaded
Jul 10, 2026
Uploaded by
Trevor McFedries
Queried
0 times

More

Use with your agent
Have your agent query this content directly
Download package
Unlocks the raw transcripts and files to use as you please
Discover playbooks
Create a repeatable workflow using this source