Paper introduces SmartWeatherAgent for ML-LLM fusion plateau weather alerts

A new arXiv preprint presents SmartWeatherAgent, a three-stage agent framework that combines machine learning models with large language models to produce weather alerts for tourism in plateau regions. Its pipeline handles intent recognition, hazard prediction, and reasoned alert generation, while self-optimizing prompts are used to adapt the system to different scenarios. The authors position it as a fix for weak contextualization, generalization, and scenario adaptation in existing tourism meteorology services.