Knowledge Graphs as the Missing Data Layer for LLM-Based Industrial Asset Operations 事件

Knowledge Graphs as the Missing Data Layer for LLM-Based Industrial Asset Operations arXiv:2605.26874v1 Announce Type: cross Abstract: LLM-based agents for industrial asset operations show limited accuracy when reasoning over flat document stores. AssetOpsBench (KDD 2026) establishes that GPT-4 agents achieve 65% on 139 industrial maintenance scenarios backed by CouchDB, YAML, and CSV. It compares LLM orchestration paradigms (Agent-As-Tool vs Plan-Execute) on a fixed data layer; we ask a comple