Instructor–Worker large language model system for policy recommendation: A case study on air quality analysis of the January 2025 Los Angeles wildfires

The Los Angeles wildfires of January 2025 caused more than 250 billion dollars in damage and lasted for nearly an entire month before containment. Following our previous work, the Digital Twin Building, we modify and leverage the multi-agent Large Language Model (LLM) framework as well as the cloud-...

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Bibliographic Details
Main Authors: Kyle Gao, Dening Lu, Liangzhi Li, Nan Chen, Hongjie He, Jing Du, Linlin Xu, Jonathan Li
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:International Journal of Applied Earth Observations and Geoinformation
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Online Access:http://www.sciencedirect.com/science/article/pii/S1569843225004212
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