LensVLM: Selective Context Expansion for Compressed Visual Representation of Text
LensVLM is proposed, an inference framework and post-training recipe that enables VLMs to scan compressed images, then selectively expand only the relevant images to their uncompressed form via learned tools, and validates this approach: training makes visual compression robust to rendering choices, and as compression...