GROVE: A RAG-Enhanced Local LLM Framework for Scalable Urban Forest Carbon Storage Estimation

^*Corresponding author for this work

Department of Computer Science, Data Science, and Engineering, New York University Shanghai, Pudong, Shanghai, China
School of Advanced Technology
School of Advanced Technology

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Original language	English
Title of host publication	AAAI-26 AI for Environmental Science Workshop
Publication status	Published - Jan 2026

Access to Document

@inproceedings{d9fd1b9e0eac4ae0a9d64298f1207dbc,

title = "GROVE: A RAG-Enhanced Local LLM Framework for Scalable Urban Forest Carbon Storage Estimation",

author = "Jiawei Tong and Guangyu Wang and Sirui Li and Ruoxi Liao and Shuihua Wang and John Moraros",

year = "2026",

month = jan,

language = "English",

booktitle = "AAAI-26 AI for Environmental Science Workshop",

}