“A Recipe For Arbitrary Text Style Transfer With Large Language Models”, 2021-09-08 (; similar):
In this paper, we leverage large language models (LMs) to perform zero-shot text style transfer.
We present a prompting method that we call augmented zero-shot learning, which frames style transfer as a sentence rewriting task and requires only a natural language instruction, without model fine-tuning or exemplars in the target style.
Augmented zero-shot learning is simple and demonstrates promising results not just on standard style transfer tasks such as sentiment, but also on arbitrary transformations such as “make this melodramatic” or “insert a metaphor.”