Opportunities for Large Language Models and Discourse in Engineering Design
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Abstract (arXiv)
In recent years, large language models have achieved breakthroughs on a wide range of benchmarks in natural language processing and continue to increase in performance. Recently, the advances of large language models have raised interest outside the natural language processing community and could have a large impact on daily life. In this paper, we pose the question: How will large language models and other foundation models shape the future product development process? We provide the reader with an overview of the subject by summarizing both recent advances in natural language processing and the use of information technology in the engineering design process. We argue that discourse should be regarded as the core of engineering design processes, and therefore should be represented in a digital artifact. On this basis, we describe how foundation models such as large language models could contribute to the design discourse by automating parts thereof that involve creativity and reasoning, and were previously reserved for humans. We describe how simulations, experiments, topology optimizations, and other process steps can be integrated into a machine-actionable, discourse-centric design process. Finally, we outline the future research that will be necessary for the implementation of the conceptualized framework.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 41 of its 62 references that are in the map. First posted on arXiv 15 Jun 2023.
Builds on
41 of 62 references.
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Citing papers per year: 2024: 1; 2025: 1; 2026: 4.
6 papers.
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- 2026Verication-driven closed-loop multi-agent large language modelframework for code-compliant structural designcited by 0
- 2026Verication-driven closed-loop multi-agent large language modelframework for code-compliant structural design8 Aug 2026
- 2026VFEAgent: A Multimodal Agent Framework for End-to-End Automated Finite Element Analysis27 May 2026
- 2026The Perfection Paradox: From Architect to Curator in AI-Assisted API Design12 Mar 2026
- 2026Large Language Models for Physics Instrument Design12 Jan 2026
- 2025Risks of AI-driven product development and strategies for their mitigation28 May 2025
- 2024AiBAT: Artificial Intelligence/Instructions for Build, Assembly, and Test3 Oct 2024