Tag: Diffusion Models

Diffusion models, originally developed for image generation, have recently been adapted to natural language processing (NLP), demonstrating promising capabilities in text generation tasks. These models operate by learning to reverse a diffusion process that adds noise to data, enabling the generation of coherent and diverse text sequences. Advancements in Text Generation: Diffusion-LM: This non-autoregressive language…