mlsanityData to 7 Oct 2026

Exploring Gen-AI applications in building research and industry: A review

arXiv 2410.01098 ↗First posted 1 Oct 2024cs.AI cs.SY eess.IVcited by 2

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Abstract (arXiv)

This paper investigates the transformative potential of Generative AI (Gen-AI) technologies, particularly large language models, within the building industry. By leveraging these advanced AI tools, the study explores their application across key areas such as automated compliance checking and building design assistance. The research highlights how Gen-AI can automate labor-intensive processes, significantly improving efficiency and reducing costs in building practices. The paper first discusses the two widely applied fundamental models-Transformer and Diffusion model-and summarizes current pathways for accessing Gen-AI models and the most common techniques for customizing them. It then explores applications for text generation, such as compliance checking, control support, data mining, and building simulation input file editing. Additionally, it examines image generation, including direct generation through diffusion models and indirect generation through language model-supported template creation based on existing Computer-Aided Design or other design tools with rendering. The paper concludes with a comprehensive analysis of the current capabilities of Gen-AI in the building industry, outlining future directions for research and development, with the goal of paving the way for smarter, more effective, and responsive design, construction, and operational practices.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 49 of its 117 references that are in the map. First posted on arXiv 1 Oct 2024.

Builds on

49 of 117 references.

References · 49

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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.

  1. 2025Automatic Building Code Review: A Case Studycited by 1
  2. 2026Neuro-Symbolic AI for LEED compliance: Document-Centric Benchmarking, Deterministic Numeric Checking, and When Multimodal Hurtscited by 0

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