1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2023
Optimizing and Fine-tuning Large Language Model for Urban Renewal
Xi Wang, Xianyao Ling, Tom Zhang +5
This study aims to innovatively explore adaptive applications of large language models (LLM) in urban renewal. It also aims to improve its performance and text generation quality f…
cs.LG2023★ 1 cited
A global product of fine-scale urban building height based on spaceborne lidar
Xiao Ma, Guang Zheng, Chi Xu +11
Characterizing urban environments with broad coverages and high precision is more important than ever for achieving the UN's Sustainable Development Goals (SDGs) as half of the wor…