Breaking the Autoregressive Mold: LLaDA Proves Diffusion Models can Rival Traditional Language Architectures

The AI landscape is undergoing a dramatic transformation with innovative approaches that challenge the status quo. A pioneering research team from China has introduced LLaDA, a diffusion-based language model that breaks free from traditional sequential (autoregressive) text generation. This new methodology not only improves processing efficiency but also addresses the long-standing reversal curse, where models struggle with backward reasoning tasks.

LLaDA employs a Post Views: 7