新闻
SIREN: Towards End-to-End Extreme-Weather Early Warning with Experience-Grounded LLM Agents
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- SIREN is an LLM agent framework for automated end-to-end extreme weather early warning that learns from historical cases and integrates multiple weather tools.
- 为何重要
- Relevant for engineers building operational weather systems who need to automate multi-step warning workflows beyond isolated forecasting tasks.
- 注意
- Paper is recent research; real-world operational deployment, integration with existing warning systems, and performance on truly novel events remain undemonstrated.
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