Jul 2026
Faster but Different: Diagnosing and Controlling Content Drift in Accelerated Multimodal Diffusion Language Models
This work studies a serving-time consistency problem on 300 real images, comparing Fast-dLLM outputs with the same model's unaccelerated outputs, and finds genuine content substitution in half of 50 low-agreement pairs.
Yao Dou, Yang Shu
· arXiv.org · 0 citations