Glossary · Term

TextLDM

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Definition

Plain language

A system that writes text the way image generators make pictures — refining a whole passage out of noise instead of typing it word by word.

As stated in the literature

A continuous latent diffusion language model that encodes tokens into vectors with a VAE, then runs an image-style Diffusion Transformer with flow matching over those latents; reaches GPT-2-level continuation quality from scratch, with the key ingredient being REPA-shaped latent geometry.

Why it matters: It shows that the image-generation recipe can produce competitive text from scratch, hinting at models that handle words and pictures with one architecture.

For example, instead of typing a paragraph word by word, it starts from noise and refines an entire passage at once into readable text.

Heard on the show

“The paper is called "TextLDM: Language Modeling with Continuous Latent Diffusion.”
Episode 127 — What Diffusion Language Models Were Missing: A Map, Not an Algorithm

Mentioned in 1 episode

  1. 127
    What Diffusion Language Models Were Missing: A Map, Not an Algorithm

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