DisasterTD: Disaster Toponym Disambiguation Using Multimodal LLMs and Cross-View Geolocalization
Disaster TD, a disaster toponym disambiguation framework that integrates multimodal large language models (MLLMs)-based semantic reasoning with cross-view geolocalization, is proposed, demonstrating the effectiveness of integrating MLLM-based candidate generation with cross-view verification for fine-grained disaster geolocalization.