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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| 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
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843225004212 |
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