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Updated: Jan 18, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
Urban planning in the era of large language models
Yu Zheng1,2, Fengli Xu1, Yuming Lin3,4
1Department of Electronic Engineering, Tsinghua University, Beijing, China.
Abstract:
City plans are the product of integrating human creativity with emerging technologies, which continuously evolve and reshape urban morphology and environments. Here we argue that large language models hold large untapped potential in addressing the growing complexities of urban planning and enabling a more holistic, innovative and responsive approach to city design. By harnessing their advanced generation and simulation capabilities, large language models can contribute as an intelligent assistant for human planners in synthesizing conceptual ideas, generating urban designs and evaluating the outcomes of planning efforts.
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