Preprint
Jul 2026
CityLLM: A framework for natural-language querying of semantic 3D city models
CityLLM, a framework for natural-language querying of semantic 3D city models alongside complementary urban datasets, is presented, suggesting that CityLLM provides a lightweight and extensible approach for conversational access to semantic 3D city data.
Rabindra Lamsal, S. Zlatanova, John Shen
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