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LITE: Modeling Environmental Ecosystems with Multimodal Large Language Models
April 2, 2024, 7:52 p.m. | Haoran Li, Junqi Liu, Zexian Wang, Shiyuan Luo, Xiaowei Jia, Huaxiu Yao
cs.CL updates on arXiv.org arxiv.org
Abstract: The modeling of environmental ecosystems plays a pivotal role in the sustainable management of our planet. Accurate prediction of key environmental variables over space and time can aid in informed policy and decision-making, thus improving people's livelihood. Recently, deep learning-based methods have shown promise in modeling the spatial-temporal relationships for predicting environmental variables. However, these approaches often fall short in handling incomplete features and distribution shifts, which are commonly observed in environmental data due to …
arxiv cs.cl ecosystems environmental language language models large language large language models modeling multimodal type
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