CoTA++: Understanding the Repeat Curse in dMLLMs from an Information Flow Perspective.

arXiv:2610.23290v1 Announce Type: new Abstract: Diffusion-based multimodal large language models (dMLLMs) decode by iterative denoising with bidirectional attention, which precludes the standard autoregressive key--value cache. Practical deployments therefore