Papers with Dior-CVAE

1 papers
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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