Review
Jul 2026
HydroAgent: Formalizing Forecaster Expertise into Skill-Orchestrated Flood Forecasting Workflows
HydroAgent is proposed, a skill-orchestrated agent framework that embeds Large Language Models (LLMs) into a model-driven flood forecasting workflow, where each skill encodes explicit rules to bound LLM reasoning, demonstrating how explicit rule boundaries can guide language model reasoning to complement physically based simulation in next-generation flood forecasting.
Qingyi Yang, S. Qiu, Bingyao Li et al.
· arXiv.org · 0 citations