7 citations · 15 across the 12 of their papers we have counts for
12 papers
IFCMemoryBench: Evaluating Long-Term Memory of LLM-Based Agents in BIM Information Retrieval
Changyu Du, Alexander Vosseler, Filippo Mazza +1
Long-term memory is becoming a core capability of LLM-based agents, but existing evaluations largely test conversational recall in open-domain or persona-grounded settings. We argu…
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…
A Modular Reference Architecture for MCP-Servers Enabling Agentic BIM Interaction
Tobias Heimig-Elschner, Changyu Du, Anna Scheuvens +2
Agentic workflows driven by large language models (LLMs) are increasingly applied to Building Information Modelling (BIM), enabling natural-language retrieval, modification and gen…
From 'What-is' to 'What-if' in Human-Factor Analysis: A Post-Occupancy Evaluation Case
Xia Chen, Ruiji Sun, Philipp Geyer +2
Human-factor analysis typically employs correlation analysis and significance testing to identify relationships between variables. However, these descriptive ('what-is') methods, w…
BIMgent: Towards Autonomous Building Modeling via Computer-use Agents
Zihan Deng, Changyu Du, Stavros Nousias +1
Existing computer-use agents primarily focus on general-purpose desktop automation tasks, with limited exploration of their application in highly specialized domains. In particular…
Predictive Modeling: BIM Command Recommendation Based on Large-scale Usage Logs
Changyu Du, Zihan Deng, Stavros Nousias +1
The adoption of Building Information Modeling (BIM) and model-based design within the Architecture, Engineering, and Construction (AEC) industry has been hindered by the perception…
VectorGraphNET: Graph Attention Networks for Accurate Segmentation of Complex Technical Drawings
Andrea Carrara, Stavros Nousias, André Borrmann
This paper introduces a new approach to extract and analyze vector data from technical drawings in PDF format. Our method involves converting PDF files into SVG format and creating…
Text2BIM: Generating Building Models Using a Large Language Model-based Multi-Agent Framework
Changyu Du, Sebastian Esser, Stavros Nousias +1
The conventional BIM authoring process typically requires designers to master complex and tedious modeling commands in order to materialize their design intentions within BIM autho…
OpenSU3D: Open World 3D Scene Understanding using Foundation Models
Rafay Mohiuddin, Sai Manoj Prakhya, Fiona Collins +2
In this paper, we present a novel, scalable approach for constructing open set, instance-level 3D scene representations, advancing open world understanding of 3D environments. Exis…
Towards a copilot in BIM authoring tool using a large language model-based agent for intelligent human-machine interaction
Changyu Du, Stavros Nousias, André Borrmann
Facing increasingly complex BIM authoring software and the accompanying expensive learning costs, designers often seek to interact with the software in a more intelligent and light…
Towards commands recommender system in BIM authoring tool using transformers
Changyu Du, Zihan Deng, Stavros Nousias +1
The complexity of BIM software presents significant barriers to the widespread adoption of BIM and model-based design within the Architecture, Engineering, and Construction (AEC) s…
Coordinating robotized construction using advanced robotic simulation: The case of collaborative brick wall assembly
Mohammad Reza Kolani, Stavros Nousias, André Borrmann
Utilizing robotic systems in the construction industry is gaining popularity due to their build time, precision, and efficiency. In this paper, we introduce a system that allows th…