mlsanityData to 14 Oct 2026

A Unified Industrial Large Knowledge Model Framework in Industry 4.0 and Smart Manufacturing

arXiv 2312.14428 ↗First posted 22 Dec 2023cs.LG cs.AIcited by 9

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Abstract (arXiv)

The recent emergence of large language models (LLMs) demonstrates the potential for artificial general intelligence, revealing new opportunities in Industry 4.0 and smart manufacturing. However, a notable gap exists in applying these LLMs in industry, primarily due to their training on general knowledge rather than domain-specific knowledge. Such specialized domain knowledge is vital for effectively addressing the complex needs of industrial applications. To bridge this gap, this paper proposes a unified industrial large knowledge model (ILKM) framework, emphasizing its potential to revolutionize future industries. In addition, ILKMs and LLMs are compared from eight perspectives. Finally, the "6S Principle" is proposed as the guideline for ILKM development, and several potential opportunities are highlighted for ILKM deployment in Industry 4.0 and smart manufacturing.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 14 of its 26 references that are in the map. First posted on arXiv 22 Dec 2023.

Builds on

14 of 26 references.

References · 14

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2 more
  1. 2023Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answeringcited by 41
  2. 2019Data Management in Industry 4.0: State of the Art and Open Challengescited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 1; 2025: 6; 2026: 1.

9 papers.

  1. 2025UniFault: A Fault Diagnosis Foundation Model from Bearing Datacited by 3
  2. 2023Machine Learning Approaches for Diagnostics and Prognostics of Industrial Systems Using Open Source Data from PHM Data Challenges: A Reviewcited by 2
  3. 2025UltraLightSqueezeNet: A Deep Learning Architecture for Malaria Classification with up to 54x fewer trainable parameters for resource constrained devicescited by 2
  4. 2026FORGE: Fine-grained Multimodal Evaluation for Manufacturing Scenarioscited by 2
  5. 2025Rethinking industrial artificial intelligence: a unified foundation frameworkcited by 1
  6. 2025From Automation to Autonomy in Smart Manufacturing: A Bayesian Optimization Framework for Modeling Multi-Objective Experimentation and Sequential Decision Makingcited by 1
  7. 2025Large Language Models for Power System Security: A Novel Multi-Modal Approach for Anomaly Detection in Energy Management Systemscited by 1
  8. 2024DSCformer: A Dual-Branch Network Integrating Enhanced Dynamic Snake Convolution and SegFormer for Crack Segmentationcited by 0
  9. 2025Engineering Artificial Intelligence: Framework, Challenges, and Future Directioncited by 0