A Recipe for Arbitrary Text Style Transfer with Large Language Models (2022.acl-short)
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| Challenge: | augmented zero-shot learning is a prompting method that allows large language models to perform zero-shoot text style transfer to arbitrary styles, without any model fine-tuning or exemplars in the target style. |
| Approach: | They propose a prompting method that frames style transfer as a sentence rewriting task and requires only a natural language instruction. |
| Outcome: | The proposed method is based on a large language model and is shown to perform on standard style transfer tasks and arbitrary transformations. |
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