SIREN automates extreme-weather early warning with LLM agents.
- 600 question-answer instances
- 19 tasks
- 4 warning procedures
SIREN aims to bridge the gap in automated end-to-end extreme-weather early warning by leveraging Large Language Model agents. The study introduces SIREN-Bench, a comprehensive benchmark for evaluating the performance of LLM agents in this context.






