CoViP is a unified framework for contextualized visual personalization in VLMs that treats personalized image captioning as the core task, applies RL-based post-training and caption-augmented generation, and shows gains on diagnostic evaluations that rule out textual shortcuts plus downstream tasks.
• Then, on a separate line, output the final choice in the exact format: [Required output format] Answer:\boxed{X} whereXis one ofA, B, C, or D
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Contextualized Visual Personalization in Vision-Language Models
CoViP is a unified framework for contextualized visual personalization in VLMs that treats personalized image captioning as the core task, applies RL-based post-training and caption-augmented generation, and shows gains on diagnostic evaluations that rule out textual shortcuts plus downstream tasks.