Proof of Concept: Multi-Target Wildfire Risk Prediction and Large Language Model Synthesis

Nicolas Caron; Christophe Guyeux; Hassan Noura; Benjamin Aynes

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arXiv · 2601.11686

Proof of Concept: Multi-Target Wildfire Risk Prediction and Large Language Model Synthesis

Nicolas Caron·Christophe Guyeux·Hassan Noura·Benjamin Aynes

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Abstract

Current state-of-the-art approaches to wildfire risk assessment often overlook operational needs, limiting their practical value for first responders and firefighting services. Effective wildfire management requires a multi-target analysis that captures the diverse dimensions of wildfire risk, including meteorological danger, ignition activity, intervention complexity, and resource mobilization, rather than relying on a single predictive indicator. In this proof of concept, we propose the development of a hybrid framework that combines predictive models for each risk dimension with large language models (LLMs) to synthesize heterogeneous outputs into structured, actionable reports.

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Nicolas Caron, Christophe Guyeux, Hassan Noura, Benjamin Aynes. 2026-01-16. Proof of Concept: Multi-Target Wildfire Risk Prediction and Large Language Model Synthesis. https://arxiv.org/abs/2601.11686

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