Author

Liang Liao

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Preprint Aug 2026

SA-GEM: Scale-Adaptive and Geospatial Evidence-Modulated Token Pruning for Efficient Remote Sensing Large Vision-Language Models

It is shown that higher resolution is not universally beneficial and, once sufficient granularity is reached, token quality matters more than token quantity, and a plug-and-play framework that unifies task-adaptive token granularity allocation with holistic geospatial token importance modulation is presented.

Kexin Ma, Jing Xiao, Bowen Xing et al. · 0 citations

Preprint Aug 2026

LongEarth-R1: Benchmarking and Aligning Vision-Language Models for Long-Horizon Earth Observation Reasoning

Long-horizon Earth observation reasoning requires models to organize multi-stage geographic evolution, localize spatial changes, detect temporal anomalies, and infer future from extended image sequences. However, existing remote sensing vision-language models mainly focus on isolated images, image pairs, or short seque...

Yupan Ding, Jing Xiao, Zhenyuan Zhang et al. · 0 citations