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Technische Universität München
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Research

  • Advanced code compliance checking with visual analysis

2026

  • Kim, Y.; Jeon, K.; Lee, G.; Borrmann, A.: Protectable architectural expressions-aware abstraction filtration comparison framework using multimodal large language models. Proc. of the TUM GNI International Symposium on Artificial Intelligence for the Built World, 2026 mehr…
  • Kim, Y.; Lee, G.; Borrmann, A.: A zero-shot approach to decomposing graphical rules in accessibility regulations. Proc. of the European Conference on Computing in Construction (EC3), 2026 mehr…
  • Kim, Y.; Lee, G.; Borrmann, A.: Exploring multimodal ReAct agent-based distance measurement tool calling towards graphical rule-aware automated compliance checking. Proc. of the International Conference on Computing in Civil Engineering (i3CE), 2026 mehr…

2025

  • Kim, Y. and Borrmann, A. and Lee, G.: A preliminary study on design rule derivation from graphical representations using multimodal large language models. Proc. of the 2025 European Conference on Computing in Construction and 42nd International CIB W78 Conference, 2025 mehr…

  • Zykova, M: BRAVO Benchmark: Evaluating Multimodal LLMs for BIM scene-based Automated Compliance Checking. , 2026 mehr…
  • Saygin, S.: Room Type Classification in Architectural Floor Plans: Leveraging Large Language and Vision-Language Models. , 2026 mehr…
  • Daban, U.: Automated Determination of Optimal Section Views from IFC Models. , 2026 mehr…
  • Petreva, I.: AI-Based Turbocharger Identification for Automated Model Recognition and Repair Support. , 2026 mehr…
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