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Understanding Unified VLMs: From Attention Probing to Guidance Tuning for Multimodal Generation
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 condition in either direction remains poorly understood. We study this question from the perspective of conditional guida
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