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Central South University
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LandslideAgent achieves over 30% accuracy improvements in landslide classification and enables fully autonomous analysis of geological hazards.
LLMs struggle with GIS tasks due to parameter misalignment and runtime anomalies, but a "Plan-and-React" architecture that mimics expert cognitive workflows significantly improves performance.