Mitigating Mask Prior Drift and Positional Attention Collapse in Large Diffusion Vision-Language Models
arXiv:2605.14530v1 Announce Type: new
Abstract: Large diffusion vision-language models (LDVLMs) have recently emerged as a promising alternative to autoregressive models, enabling parallel decoding for efficient inference and leveraging bidirectional …