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cs.AI2026
Understanding Unified VLMs: From Attention Probing to Guidance Tuning for Multimodal Generation
Zhengyang Luo, Xiaoyu Qiu, Zhiheng Tan +3
Unified vision-language models (VLMs) perform both text-to-image (T2I) and image-to-text (I2T) generation with one shared Transformer backbone, yet how the backbone processes the c…
cs.LG2026
Couple to Control: Joint Initial Noise Design in Diffusion Models
Jing Jia, Liyue Shen, Guanyang Wang
Diffusion models typically generate image batches from independent Gaussian initial noises. We argue that this independence assumption is only one choice within a broader class of…