AIBullisharXiv – CS AI · Mar 176/10
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UVLM: A Universal Vision-Language Model Loader for Reproducible Multimodal Benchmarking
Researchers have introduced UVLM (Universal Vision-Language Model Loader), a Google Colab-based framework that provides a unified interface for loading, configuring, and benchmarking multiple Vision-Language Model architectures. The framework currently supports LLaVA-NeXT and Qwen2.5-VL models and enables researchers to compare different VLMs using identical evaluation protocols on custom image analysis tasks.