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Foundation Model Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China, School of Future Technology, University of Chinese Academy of Sciences, Beijing, China
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Retaining nearly all of a model's capability while slashing visual token usage by over 80% reveals a transformative approach to VLM compression.
