18 citations · 21 across the 5 of their papers we have counts for
5 papers
BIM Information Extraction Through LLM-based Adaptive Exploration
Sylvain Hellin, Suhyung Jang, Stefan Fuchs +2
BIM models provide structured representations of building geometry, semantics, and topology, yet extracting specific information from them remains remarkably difficult. Current app…
Enhancing Building Semantics Preservation in AI Model Training with Large Language Model Encodings
Suhyung Jang, Ghang Lee, Jaekun Lee +1
Accurate representation of building semantics, encompassing both generic object types and specific subtypes, is essential for effective AI model training in the architecture, engin…
A Generalized LLM-Augmented BIM Framework: Application to a Speech-to-BIM system
Ghang Lee, Suhyung Jang, Seokho Hyun
Performing building information modeling (BIM) tasks is a complex process that imposes a steep learning curve and a heavy cognitive load due to the necessity of remembering sequenc…
Interactive Design by Integrating a Large Pre-Trained Language Model and Building Information Modeling
Suhyung Jang, Ghang Lee
This study explores the potential of generative artificial intelligence (AI) models, specifically OpenAI's generative pre-trained transformer (GPT) series, when integrated with bui…
Improving BIM Authoring Process Reproducibility with Enhanced BIM Logging
Suhyung Jang, Ghang Lee
This paper presents an enhanced building information modeling (BIM) logger that captures building element geometry and attributes to accurately represent the BIM authoring process.…