AssetOpsBench

AssetOpsBench AssetOpsBench is a specialized benchmark designed for evaluating Large Language Models (LLMs) and Multi-Agent systems in industrial operations. It focuses on the intersection of sensor data interpretation, maintenance logic, and Prognostics and Health Management (PHM). The benchmark enables researchers to

Papers using AssetOpsBench (4)

Beyond Final Answers: Auditing Trajectory-Level Hallucinations in Multi-Agent Industrial Workflows2026DynAMO:Dynamic Asset Management Orchestration via Topological Multi-Agent Scheduling2026Knowledge Graphs as the Missing Data Layer for LLM-Based Industrial Asset Operations2026Internalizing Tool Knowledge in Small Language Models via QLoRA Fine-Tuning2026