mlsanityData to 14 Oct 2026

Large Language Models for Manufacturing

arXiv 2410.21418 ↗First posted 28 Oct 2024cs.AI cs.CLcited by 24

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Abstract (arXiv)

The rapid advances in Large Language Models (LLMs) have the potential to transform manufacturing industry, offering new opportunities to optimize processes, improve efficiency, and drive innovation. This paper provides a comprehensive exploration of the integration of LLMs into the manufacturing domain, focusing on their potential to automate and enhance various aspects of manufacturing, from product design and development to quality control, supply chain optimization, and talent management. Through extensive evaluations across multiple manufacturing tasks, we demonstrate the remarkable capabilities of state-of-the-art LLMs, such as GPT-4V, in understanding and executing complex instructions, extracting valuable insights from vast amounts of data, and facilitating knowledge sharing. We also delve into the transformative potential of LLMs in reshaping manufacturing education, automating coding processes, enhancing robot control systems, and enabling the creation of immersive, data-rich virtual environments through the industrial metaverse. By highlighting the practical applications and emerging use cases of LLMs in manufacturing, this paper aims to provide a valuable resource for professionals, researchers, and decision-makers seeking to harness the power of these technologies to address real-world challenges, drive operational excellence, and unlock sustainable growth in an increasingly competitive landscape.

Key facts. Cited by 24 papers in the map (data through 14 Oct 2026). Builds on 75 of its 217 references that are in the map. First posted on arXiv 28 Oct 2024.

Builds on

75 of 217 references.

References · 75

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 2; 2025: 14; 2026: 8.

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  1. 2025Text-to-CadQuery: A New Paradigm for CAD Generation with Scalable Large Model Capabilitiescited by 43
  2. 2024Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Researchcited by 27
  3. 2025LLM-Powered AI Agent Systems and Their Applications in Industrycited by 22
  4. 2025Large Language Models for Computer-Aided Design: A Surveycited by 18
  5. 2026CADSmith: Multi-Agent CAD Generation with Programmatic Geometric Validationcited by 13
  6. 2024Transcending Language Boundaries: Harnessing LLMs for Low-Resource Language Translationcited by 12
  7. 2025Visual Instruction Bottleneck Tuningcited by 5
  8. 2025Ask, Clarify, Optimize: Human-LLM Agent Collaboration for Smarter Inventory Controlcited by 5
  9. 2025A Large Language Model-Enabled Control Architecture for Dynamic Resource Capability Exploration in Multi-Agent Manufacturing Systemscited by 4
  10. 2025Knowledge Graph Fusion with Large Language Models for Accurate, Explainable Manufacturing Process Planningcited by 3
  11. 2025SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts--Extended Versioncited by 3
  12. 2025Empowering Real-World: A Survey on the Technology, Practice, and Evaluation of LLM-driven Industry Agentscited by 2
12 more
  1. 2026ZAYA1-VL-8B Technical Reportcited by 2
  2. 2025Pretrained LLMs as Real-Time Controllers for Robot Operated Serial Production Linecited by 1
  3. 2025Human Centric General Physical Intelligence for Agile Manufacturing Automationcited by 1
  4. 2025AMLA: MUL by ADD in FlashAttention Rescalingcited by 1
  5. 2026DScheLLM: Enabling Dynamic Scheduling through a Fine-Tuned Dual-System Large language Modelcited by 1
  6. 2026Design-to-Plan: A Large Language Model-Based Multi-Agent Framework for Manufacturing Process Planning from 3D CAD Models and 2D Engineering Drawingscited by 1
  7. 2025SmartPilot: A Multiagent CoPilot for Adaptive and Intelligent Manufacturingcited by 0
  8. 2025LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBraincited by 0
  9. 2026Physics-Grounded Multi-Agent Architecture for Traceable, Risk-Aware Human-AI Decision Support in Manufacturingcited by 0
  10. 2026CAX-Agent: A Lightweight Agent Harness for Reliable APDL Automationcited by 0
  11. 2026FactoryLLM: A Safe and Open-Source AI Playground for Evaluating LLMs in Smart Factoriescited by 0
  12. 2026ROS2SmolVLA: Enabling Small Vision-Language-Action Models for Integration into Industrial-Grade Lightweight Robotscited by 0