DFlash is a new way to make big language models answer much faster without changing the final answers.
Stable-DiffCoder is a code-focused diffusion language model that learns to write and edit programs by filling in masked pieces, not just predicting the next token.
Dream-VL and Dream-VLA use a diffusion language model backbone to understand images, talk about them, and plan actions better than many regular (autoregressive) models.
ReFusion is a new way for AI to write text faster by planning in chunks (called slots) and then filling each chunk carefully.
Before this work, most big language models talked one word at a time (autoregressive), which made them slow and hard to parallelize.