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ECVL-ROUTER: Scenario-Aware Routing for Vision-Language Models

arXiv — cs.LG•Monday, November 3, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
The recent introduction of ECVL-ROUTER marks a significant advancement in the field of Vision-Language Models (VLMs). This innovative approach addresses the varying user needs across different scenarios, such as the demand for quick responses, high-quality outputs, and energy efficiency. By optimizing the routing of tasks between large cloud models and smaller edge devices, ECVL-ROUTER promises to enhance performance while reducing latency and energy costs. This development is crucial as it paves the way for more efficient and adaptable AI systems that can better serve diverse applications.
— Curated by the World Pulse Now AI Editorial System
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