graph databases 1llm integration 1natural language querying 1semantic 3d city models 1spatial databases 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.CL2026
CityLLM: A framework for natural-language querying of semantic 3D city models
Rabindra Lamsal, Sisi Zlatanova, Johnson Xuesong Shen
CityLLM is a framework that lets users ask natural‑language questions about semantic 3D city models and related urban datasets, using large language models to translate queries int…
cs.CL2026
IfcLLM: Natural Language Querying of IFC Models through Complementary Relational and Graph Representations
Rabindra Lamsal, Sisi Zlatanova, Haowen Xu +2
The Industry Foundation Classes (IFC) standard is central to building data exchange across the lifecycle, from design and construction to facility management and Digital Twin integ…