Empowering LLM Agents with Geospatial Awareness: Toward Grounded Reasoning for Wildfire Response
Published in Findings of the Association for Computational Linguistics: ACL 2026, 2026
Recommended citation: Chen, Y., Li, L., Ma, Z., Hu, Q., Zhu, Y., Deng, M., & Yu, R. (2026). Empowering LLM Agents with Geospatial Awareness: Toward Grounded Reasoning for Wildfire Response. Findings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026).
A geospatial-awareness layer grounds LLM agents in terrain, infrastructure, demographic, and weather context for interpretable wildfire reasoning and resource allocation.
