AutoS²earch is an innovative framework that enhances web-based management systems with autonomous reasoning capabilities to quickly locate hazard sources in industrial environments.

• Leverages large language models to provide real-time decision support for critical safety scenarios
• Uses a multi-agent architecture to simulate expert reasoning processes
• Enables rapid response to time-sensitive industrial hazards like gas leaks
• Eliminates delays associated with traditional human crowdsourcing approaches

This advancement significantly improves industrial safety systems by providing immediate, accurate hazard source identification when every second counts during emergency situations.

AutoS²earch: Unlocking the Reasoning Potential of Large Models for Web-based Source Search