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CityLLM: A framework for natural-language querying of semantic 3D city models

Semantic 3D city models provide rich geometric and semantic information, but remain challenging for non-experts and interdisciplinary researchers to access and query due to their complex structures and specialized data formats. To address t

https://arxiv.org/abs/2607.14542v1 ↗
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