DynamicVL: Benchmarking Multimodal Large Language Models for Dynamic City Understanding

Neural Information Processing Systems 

Multimodal large language models (MLLMs) have demonstrated remarkable capabilities in visual understanding, but their application to long-term Earth observation analysis remains limited, primarily focusing on single-temporal or bi-temporal imagery.