FinSeer Model Card
Model details
Model type: StockLLM is an open-source fine-tuned 1B large language model as the backbone of our first retrieval-augmented generation (RAG) framework specifically designed for financial time-series forecasting.
Paper or resources for more information:
https://arxiv.org/pdf/2502.05878
Disclaimer
This repository and its contents are provided for academic and educational purposes only. None of the material constitutes financial, legal, or investment advice. No warranties, express or implied, are offered regarding the accuracy, completeness, or utility of the content. The authors and contributors are not responsible for any errors, omissions, or any consequences arising from the use of the information herein. Users should exercise their own judgment and consult professionals before making any financial, legal, or investment decisions. The use of the software and information contained in this repository is entirely at the user's own risk.
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Citaion
@misc{xiao2025enhancingfinancialtimeseriesforecasting,
title={Enhancing Financial Time-Series Forecasting with Retrieval-Augmented Large Language Models},
author={Mengxi Xiao and Zihao Jiang and Lingfei Qian and Zhengyu Chen and Yueru He and Yijing Xu and Yuecheng Jiang and Dong Li and Ruey-Ling Weng and Min Peng and Jimin Huang and Sophia Ananiadou and Qianqian Xie},
year={2025},
eprint={2502.05878},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2502.05878},
}
license: mit
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