Optimizing and Fine-tuning Large Language Model for Urban Renewal

no code implementations • 27 Nov 2023 • Xi Wang, Xianyao Ling, Tom Zhang, Xuecao Li, Shaolan Wang, Zhixing Li, Liang Zhang, Peng Gong

This study demonstrates the effectiveness and superiority of the joint fine-tuning method using Prefix and LoRA for ChatGLM in the urban renewal knowledge QA tasks.

Language Modelling Large Language Model +2

A global product of fine-scale urban building height based on spaceborne lidar

no code implementations • 22 Oct 2023 • Xiao Ma, Guang Zheng, Chi Xu, L. Monika Moskal, Peng Gong, Qinghua Guo, Huabing Huang, Xuecao Li, Yong Pang, Cheng Wang, Huan Xie, Bailang Yu, Bo Zhao, Yuyu Zhou

Our results revealed that the estimated method of building height samples based on the GEDI data was effective with 0. 78 of Pearson's r and 3. 67 m of RMSE in comparison to the reference data.