Resampling Benchmark for Efficient Comprehensive Evaluation of Large Vision-Language Models

Teppei Suzuki, Keisuke Ozawa

We propose an efficient evaluation protocol for large vision-language models (VLMs). Given their broad knowledge and reasoning capabilities, multiple benchmarks are needed for comp…