LensVLM: Selective Context Expansion for Compressed Visual Representation of Text
LensVLM introduces a framework allowing Vision Language Models to scan compressed images and selectively expand only relevant parts to their uncompressed form using learned tools. This method maintains high accuracy even at extreme compression by treating text as an image and training the model to decide which visual information is necessary for correct reasoning.