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News/Faster but Different: Diagnosing and Controlling Content Drift in Accelerated Multimodal Diffusion Language Models
arxiv
PublishedAugust 3, 2026 at 4:00 AM
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Faster but Different: Diagnosing and Controlling Content Drift in Accelerated Multimodal Diffusion Language Models

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arXiv:2607.29079v1 Announce Type: new Abstract: Training-free acceleration makes diffusion-based multimodal large language models (dMLLMs) more deployable, but it may silently change generated content. We study this serving-time consistency problem on 300 real images, comparing Fast-dLLM outputs wit

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