Global Compression Commander introduces a plug-and-play token compression framework that significantly improves inference efficiency for high-resolution large vision-language models (LVLMs).

• Addresses the quadratic complexity challenge when processing long multimodal contexts
• Leverages global token importance across multiple image views, unlike uniform compression methods
• Achieves 2-4x inference acceleration with minimal performance degradation
• Seamlessly integrates with existing high-resolution VLMs using dynamic tiling

This engineering breakthrough enables more efficient deployment of powerful vision-language models in resource-constrained environments, making advanced visual reasoning more accessible for real-world applications.

Global Compression Commander: Plug-and-Play Inference Acceleration for High-Resolution Large Vision-Language Models