Tag
Google DeepMind released DiffusionGemma, an open experimental model that generates text in blocks rather than word-by-word, enabling self-correction and faster output.
This paper introduces the Safety-Aware Denoiser (SAD), a framework for integrating safety constraints into text diffusion models during the denoising process. It aims to reduce unsafe generations while preserving quality, addressing a gap in safety research for non-autoregressive models.
The Fast Byte Latent Transformer (BLT-D) has been accepted to ICML 2026, introducing a text diffusion method for parallel byte-level decoding to overcome the speed limitations of traditional byte-level language models.