Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

Research Article

Automated Central Bank Policy Question and Answer System based on Large Language Models

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  • @INPROCEEDINGS{10.4108/eai.27-10-2023.2341977,
        author={Shanshan  Yan and Fengting  Mo and Huixi  Li and Yinhao  Xiao},
        title={Automated Central Bank Policy Question and Answer System based on Large Language Models},
        proceedings={Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27--29, 2023, Tianjin, China},
        publisher={EAI},
        proceedings_a={ICEMBDA},
        year={2024},
        month={1},
        keywords={central bank policy langchain-chatglm llm},
        doi={10.4108/eai.27-10-2023.2341977}
    }
    
  • Shanshan Yan
    Fengting Mo
    Huixi Li
    Yinhao Xiao
    Year: 2024
    Automated Central Bank Policy Question and Answer System based on Large Language Models
    ICEMBDA
    EAI
    DOI: 10.4108/eai.27-10-2023.2341977
Shanshan Yan1, Fengting Mo1, Huixi Li1, Yinhao Xiao1,*
  • 1: Guangdong University of Finance and Economics
*Contact email: 20191081@gdufe.edu.cn

Abstract

The monetary policy is a crucial tool for guiding national economic regulations, as it upholds economic stability and fosters economic development. Specifically, the policies implemented by the Chinese Central Bank play a vital role in managing inflation and bolstering economic growth. These policies directly influence the living standards of the population and their financial decisions. However, in the past, interpreting these policies required a strong professional background in economics or finance, along with significant manual effort.