AI RESEARCH
Personal Visual Context Learning in Large Multimodal Models
arXiv CS.CV
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ArXi:2605.10936v1 Announce Type: new As wearable devices like smart glasses integrate Large Multimodal Models (LMMs) into the continuous first-person visual streams of individual users, the evolution of these models into true personal assistants hinges on visual personalization: the ability to reason over visual information unique to the wearer. We formalize this capability as Personal Visual Context Learning (Personal VCL), the prompt-time capability of using user-specific visual context to resolve personalized queries.