Chih-Chun Chen

CGDD: Contrastive Gaussian-Dirac Diffusion Model

This paper proposes the contrastive Gaussian-Dirac diffusion (CGDD) model, which introduces a novel approach to hybrid noise diffusion by combining continuous and discrete noise processes for text generation tasks. Leveraging the contrastive learning, the proposed CGDD structures the embedding space…