Vector-Quantized Prompt Learning for Paraphrase Generation (2023.findings-emnlp)
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| Challenge: | Existing methods for paraphrase generation are difficult to understand and generate. |
| Approach: | They propose to generate diverse paraphrases by using instance-dependent prompts to control the generation of pre-trained models. |
| Outcome: | The proposed method achieves state-of-the-art on three benchmark datasets, including Quora, Wikianswers, and MSCOCO. |
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