Ego: Embedding-Guided Personalization of Vision-Language Models

ArXi:2603.09771v1 Announce Type: cross AI assistants that humans in daily life are becoming increasingly feasible, driven by the rapid advancements in multimodal language models. A key challenge lies in overcoming the generic nature of these models to deliver personalized experiences. Existing approaches to personalizing large vision language models often rely on additional