A knowledge-graph-plus-LLM pipeline that retrieves relevant facts and generates user-friendly explanations for machine-learning results in manufacturing.
IEEE access : practical innovations, open solutions10, 70712–70723 (2022)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Using Large Language Models and Knowledge Graphs to Improve the Interpretability of Machine Learning Models in Manufacturing
A knowledge-graph-plus-LLM pipeline that retrieves relevant facts and generates user-friendly explanations for machine-learning results in manufacturing.