A Recipe For Arbitrary Text Style Transfer with Large Language ModelsDownload PDF


16 Jun 2021 (modified: 05 May 2023)ACL ARR 2021 Jun Blind SubmissionReaders: Everyone
Abstract: In this paper, we leverage large language models (LLMs) 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.'
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