AI RESEARCH

Towards Multi-Turn Dialog Systems for Industrial Asset Operations and Maintenance

arXiv CS.AI

ArXi:2605.24953v1 Announce Type: new Industrial asset operations and maintenance question answering is inherently multi-turn, iterative, and highly dependent on external tool invocation. However, the conventional plan-execute single-agent architecture exhibits clear limitations in maintaining cross-turn context, and reusing intermediate results. In this paper, we present a multi-turn dialog system designed for industrial scenarios based on a supervisor-specialist multi-agent architecture.