AIBullisharXiv – CS AI · Apr 107/10
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Q-Zoom: Query-Aware Adaptive Perception for Efficient Multimodal Large Language Models
Q-Zoom is a new framework that improves the efficiency of multimodal large language models by intelligently processing high-resolution visual inputs. Using adaptive query-aware perception, the system achieves 2.5-4.4x faster inference speeds on document and high-resolution tasks while maintaining or exceeding baseline accuracy across multiple MLLM architectures.