Papers by Huiyu Mai
Prefix-Tuning Based Unsupervised Text Style Transfer (2023.findings-emnlp)
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| Challenge: | Unsupervised text style transfer is an important task in computer vision and natural language processing. |
| Approach: | They propose a method that uses pre-trained large language models to train a generative model that can alter the style of the input sentence without using any parallel data. |
| Outcome: | The proposed method outperforms the state-of-the-art methods on well-known datasets. |