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Chinese Academy of Sciences, University of Chinese Academy of Sciences
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Dynamic visual evidence retrieval can accelerate multimodal decoding by over 2x while enhancing draft acceptance rates.
Hallucinations in LVLMs can be cut by over 43% without sacrificing grounded object coverage, thanks to a novel verifier-guided approach.
