2 papers
cs.CV2026
RAPID: A Reproducible Multi-Agent Pipeline for Interpretable Disaster Damage Assessment from Satellite and Street-View Imagery
Yifan Yang, Wenjing Gong, Kaili Zhang +5
Due to the increasing frequency and intensity of extreme climate events, there is a clear demand for intelligent, scalable, and autonomous approaches to disaster damage assessment.…
cs.IR2026
GIScholarBench: Benchmarking LLM Overconfidence in GIS Research
Zongrng Li, Mingzheng Yang, Lei Zou +8
Large language models (LLMs) are increasingly used in academic research workflows, but scholarly tasks require high factual precision and therefore expose a key weakness: overconfi…