Gagan Jain

Adaptive Block Diffusion: Resolving Training-Inference Mismatch in Diffusion Language Models

Gagan Jain

Diffusion Language Models (DLMs) are typically trained under fixed context structures, restricting denoising to predetermined token subsets. This creates a mismatch between training and inference, where models must operate over arbitrary configurations, leading to degradation off…Read more