Tag: Diffusion Models (3 articles)

DiScoFormer introduces a single Transformer that estimates both density and score for any data distribution without retraining, breaking the trade-off between generalization and accuracy.

Google open-sources DiffusionGemma, applying diffusion architecture to text generation for the first time, achieving over 500 tokens/sec and offering a new paradigm for high-throughput scenarios.

NVIDIA's new diffusion language models generate tokens in parallel and refine them iteratively, potentially breaking the latency limits of traditional autoregressive models and enabling self-correction.