mlsanityData to 7 Oct 2026

Investigating the use of ChatGPT for the scheduling of construction projects

arXiv 2302.02805 ↗First posted 27 Jan 2023cs.HC cs.AIcited by 17

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Abstract (arXiv)

Large language models such as ChatGPT have the potential to revolutionize the construction industry by automating repetitive and time-consuming tasks. This paper presents a study in which ChatGPT was used to generate a construction schedule for a simple construction project. The output from ChatGPT was evaluated by a pool of participants that provided feedback regarding their overall interaction experience and the quality of the output. The results show that ChatGPT can generate a coherent schedule that follows a logical approach to fulfill the requirements of the scope indicated. The participants had an overall positive interaction experience and indicated the great potential of such a tool to automate many preliminary and time-consuming tasks. However, the technology still has limitations, and further development is needed before it can be widely adopted in the industry. Overall, this study highlights the potential of using large language models in the construction industry and the need for further research.

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). Builds on 4 of its 38 references that are in the map. First posted on arXiv 27 Jan 2023.

Builds on

4 of 38 references.

References · 4

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2020Language Models are Few-Shot Learnerscited by 32,199
  3. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  4. 2020A Comprehensive Survey on Word Representation Models: From Classical to State-Of-The-Art Word Representation Language Modelscited by 30

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 10; 2024: 3; 2025: 3; 2026: 1.

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  1. 2023Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Modelscited by 152
  2. 2023One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Eracited by 55
  3. 2023GPT Models in Construction Industry: Opportunities, Limitations, and a Use Case Validationcited by 19
  4. 2023Robot-Enabled Construction Assembly with Automated Sequence Planning based on ChatGPT: RoboGPTcited by 11
  5. 2023MyCrunchGPT: A chatGPT assisted framework for scientific machine learningcited by 8
  6. 2023Generative AI in the Construction Industry: Opportunities & Challengescited by 8
  7. 2025CEQuest: Benchmarking Large Language Models for Construction Estimationcited by 6
  8. 2025AECBench: A Hierarchical Benchmark for Knowledge Evaluation of Large Language Models in the AEC Fieldcited by 6
  9. 2023Humans are Still Better than ChatGPT: Case of the IEEEXtreme Competitioncited by 5
  10. 2024Foundation Models for Autonomous Robots in Unstructured Environmentscited by 3
  11. 2024Leveraging Large Language Models for Enhancing Public Transit Servicescited by 3
  12. 2024Autonomous Building Cyber-Physical Systems Using Decentralized Autonomous Organizations, Digital Twins, and Large Language Modelcited by 3
5 more
  1. 2025Prompt to Protection: A Comparative Study of Multimodal LLMs in Construction Hazard Recognitioncited by 2
  2. 2023Ethics of Artificial Intelligence and Robotics in the Architecture, Engineering, and Construction Industrycited by 0
  3. 2023Evaluating the Inclusiveness of Artificial Intelligence Software in Enhancing Project Management Efficiency -- A Reviewcited by 0
  4. 2023Generative AI and the History of Architecturecited by 0
  5. 2026A Large Language Model for Disaster Structural Reconnaissance Summarizationcited by 0