ifc

BIM-Edit is a benchmark for evaluating LLMs on natural-language editing of Building Information Models (BIM) in IFC format. Results show a substantial gap, with the best model achieving only 49.5% average score across geometric, semantic, and topological metrics.

This paper introduces SGR-BIM, a graph-driven semantic reasoning framework that dynamically aligns regulatory intent with BIM geometry to automate geometry-intensive compliance checks, achieving 84.3% accuracy on fire safety code queries.