Multi-Agent Dialog System Boosts Industrial Maintenance Efficiency
A recently developed multi-turn dialog system designed for the operations and maintenance of industrial assets utilizes a supervisor-specialist multi-agent framework, demonstrating superior performance compared to traditional single-agent models. This innovative system employs structured artifact reuse, dynamic replanning, and simultaneous tool execution to address tool invocation limitations. Evaluation findings indicate a 54.5% enhancement in planning efficiency and a 37.8% rise in task completion rates. Additionally, cross-turn artifact reuse has decreased the tool-time share from 47.3% to 26.3%. This research is documented in arXiv:2605.24953.
Key facts
- Multi-turn dialog system for industrial asset operations and maintenance
- Based on supervisor-specialist multi-agent architecture
- Incorporates structured artifact reuse, dynamic replanning, and parallel tool execution
- Planning effectiveness increased by 54.5%
- Task completion improved by 37.8%
- Tool-time share reduced from 47.3% to 26.3%
- Conventional plan-execute single-agent architecture has limitations in cross-turn context
- Research published on arXiv with ID 2605.24953
Entities
Institutions
- arXiv