Deploying DFlash block diffusion on NVIDIA hardware accelerates autoregressive LLMs during latency-sensitive inference.

Abstract: Radio map (RM) is a promising technology that can obtain pathloss based on only location, which is significant for 6G network applications to reduce the communication costs for pathloss ...

Rather than generating text word by word, Google's experimental open-source model drafts entire passages simultaneously using diffusion, resulting in up to 4x faster inference.

Our long-term goal is to build efficient and reliable 2.5B diffusion-based decoding for document OCR. MinerU-Diffusion reframes document OCR as an inverse rendering problem and replaces slow, ...

Abstract: Diffusion models have emerged as a leading methodology for image generation and have proven successful in the realm of magnetic resonance imaging (MRI) reconstruction. However, existing ...

Google's open-source diffusion language model generates 256 tokens in parallel and self-corrects, hitting 4x speed on one GPU ...

Google has released DiffusionGemma, an experimental language model that generates text using a diffusion-based method, producing blocks of 256 tokens at once rather than generating text word by word.

Google DeepMind released DiffusionGemma on June 10, 2026, an experimental open-weights model that writes text using discrete diffusion rather than the token-by-token method behind GPT-style systems ...

Abstract: Conventional deep learning-based methods for single remote sensing image super-resolution (SRSISR) have made remarkable progress. However, the super-resolution (SR) outputs of these methods ...

Looking forward to Deepseek integrating this into their next LLM in a few weeks and cutting costs by half yet again. Not sure how the American AI companies are supposed to ever achieve profit. AI ...

Both models trade word-by-word generation for parallel denoising. Only one of them does it without losing intelligence in the ...