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Fine-tuning just 0.14% of parameters, ENCORE boosts VLM accuracy by 1.43% through innovative entropy-guided cropping and attention techniques.
Pruning visual tokens based on head alignment can retain nearly all performance while drastically reducing computational costs.
Forget hand-tuning: VisPCO automatically finds optimal visual token pruning configurations in VLMs, outperforming predefined strategies across diverse benchmarks.
