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Fine-tuning large language models for interdisciplinary environmental challenges

Yuanxin Zhang Sijie Lin Yaxin Xiong Nan Li Lijin Zhong Longzhen Ding Qing Hu

环境科学与生态技术（英文）Issue(5)：12-21,10.

环境科学与生态技术（英文）Issue(5)：12-21,10.DOI:10.1016/j.ese.2025.100608

Fine-tuning large language models for interdisciplinary environmental challenges

Yuanxin Zhang ¹Sijie Lin ²Yaxin Xiong ¹Nan Li ³Lijin Zhong ⁴Longzhen Ding ¹Qing Hu¹

作者信息

1. State Key Laboratory of Soil Pollution Control and Safety,Southern University of Science and Technology,Shenzhen,518055,China||School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China
2. State Key Laboratory of Soil Pollution Control and Safety,Southern University of Science and Technology,Shenzhen,518055,China||Beijing Huanding Environmental Smart Data Institute,Beijing,100083,China
3. School of Environment,Tsinghua University,Beijing,100084,China
4. Beijing Huanding Environmental Smart Data Institute,Beijing,100083,China
折叠

摘要

关键词

Environmental science/Artificial intelligence/Large language model/Fine-tuning/Instruction dataset

Key words

Environmental science/Artificial intelligence/Large language model/Fine-tuning/Instruction dataset

引用本文复制引用

Yuanxin Zhang,Sijie Lin,Yaxin Xiong,Nan Li,Lijin Zhong,Longzhen Ding,Qing Hu..Fine-tuning large language models for interdisciplinary environmental challenges[J].环境科学与生态技术（英文）,2025,(5):12-21,10.

基金项目

This research was supported by the National Key Research and Development Program of China(2024YFC3711800)and the High-level University Special Fund(G03050K001). （2024YFC3711800）

环境科学与生态技术（英文）

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