The Development of Large Language Models in the Financial Field  

作　　者：Yanling Liu Yun Li 

机构地区：[1]Hainan Vocational University of Science and Technology,Haikou 570100,Hainan,China

出　　处：《Proceedings of Business and Economic Studies》2025年第2期49-54,共6页商业经济研究(百图)

摘　　要：With the rapid development of natural language processing(NLP)and machine learning technology,applying large language models(LLMs)in the financial field shows a significant growth trend.This paper systematically reviews the development status,main applications,challenges,and future development direction of LLMs in the financial field.Financial Language models(FinLLMs)have been successfully applied to many scenarios,such as sentiment analysis,automated trading,risk assessment,etc.,through deep learning architectures such as BERT,Llama,and domain data fine-tuning.However,issues such as data privacy,model interpretability,and ethical governance still pose constraints to their widespread application.Future research should focus on improving model performance,addressing bias issues,strengthening privacy protection,and establishing a sound regulatory framework to ensure the healthy development of LLMs in the financial sector.

关 键 词：Large language model Fintech Natural language processing Ethics of artificial intelligence 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]