XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery? - Fengxiang Wang 004; Hongzhen Wang; Zonghao Guo; Di Wang 023; Yulin Wang 002; Mingshuo Chen; Qiang Ma; Long Lan; Wenjing Yang 002; Jing Zhang 037; Zhiyuan Liu 001; Maosong Sun 001 (CVPR, 2025)

RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing. - Fengxiang Wang 004; Hongzhen Wang; Yulin Wang 002; Di Wang 023; Mingshuo Chen; Haiyan Zhao; Yangang Sun; Shuo Wang; Long Lan; Wenjing Yang 002; Jing Zhang 037 (CoRR, 2025)

GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution. - Fengxiang Wang 004; Mingshuo Chen; Yueying Li; Di Wang 023; Haotian Wang 001; Zonghao Guo; Zefan Wang; Boqi Shan; Long Lan; Yulin Wang 002; Hongzhen Wang; Wenjing Yang 002; et al. (CoRR, 2025)

OmniEarth-Bench: Towards Holistic Evaluation of Earth's Six Spheres and Cross-Spheres Interactions with Multimodal Observational Earth Data. - Fengxiang Wang 004; Mingshuo Chen; Xuming He; Yifan Zhang; Feng Liu 003; Zijie Guo; Zhenghao Hu; Jiong Wang; Jingyi Xu; Zhangrui Li; Fenghua Ling; Ben Fei; et al. (CoRR, 2025)