Jia-Lu Sheng

ReVA: A Scene-Centric Dataset Beyond Repetition for Remote Sensing Video Question Answering

Multimodal Large Language Models (MLLMs) have demonstrated remarkable advances in remote sensing. However, existing remote sensing multimodal reasoning benchmarks exhibit two critical limitations: they rely on (i) template-driven questions, which causes repetitive questions; and (ii) static images that fail to capture...