Rijul, a developer building the AI code review tool LiveReview, outlined the difference between autoregressive and diffusion-based text generation. Autoregressive models, used by most deployed languag…
A new arXiv preprint (arXiv:2608.14649v1) introduces dLLM-SetScore, a training-free method that uses discrete masked-diffusion language models for multi-label text classification, achieving state-of-t…
Researchers have developed a new algorithm for constrained decoding in diffusion language models, enabling efficient sampling under constraints defined by finite automata. Tests on models like Dream-7…
Researchers at arXiv have introduced "infilling extraction," a new method for extracting training data from diffusion language models (DLMs) that uses arbitrary binary masks instead of relying solely …