Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation (2023.findings-emnlp)
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| Challenge: | Existing variational dialog models have pre-trained, restricting diversity of responses . a diffusion model increases complexity of prior distribution and its compatibility with PLMs . |
| Approach: | They propose a hierarchical conditional variational autoencoder with diffusion priors to address these challenges. |
| Outcome: | The proposed method generates more diverse responses without dialog pre-training. |
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