AINeutralarXiv – CS AI · 9h ago6/10
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LensVLM: Selective Context Expansion for Compressed Visual Representation of Text
LensVLM is a new inference framework that enables Vision Language Models to process highly compressed images of text by selectively expanding relevant sections, achieving 4.3x compression while maintaining accuracy comparable to full-resolution processing. The approach combines learned tool selection with post-training techniques to overcome the fundamental limitation that compressed text becomes illegible to standard vision encoders.