Introduces Personal VCL formalization and benchmark revealing LMM context gaps, plus an Agentic Context Bank baseline that boosts personalized visual reasoning.
Myvlm: Per- sonalizing vlms for user-specific queries
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Presents a training-free personalization toolkit for LVLMs that extracts features via vision foundation models, applies RAG for instance retrieval, and uses visual prompting for multi-concept adaptation on images and videos, claiming SOTA results on a new real-world benchmark.
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