DRRG Uses Discrete Diffusion to Iteratively Refine Radiology Reports
An arXiv paper introduces DRRG, a discrete-diffusion framework that generates radiology reports through iterative masked-token denoising. The authors report stronger results than comparison methods on MIMIC-CXR and CheXpert Plus across several metrics, while using a smaller language-model decoder.