Empowering financial futures: Large language models in the modern financial landscape

Xinwei Cao; Shuai Li; Vasilios  Katsikis; Ameer Tamoor Khan; Hailing He; Zhengping Liu; Lieping Zhang; Chen Peng

doi:10.4108/airo.6117

Authors

Xinwei Cao Jiangnan University
Shuai Li University of Oulu
Vasilios Katsikis National and Kapodistrian University of Athens
Ameer Tamoor Khan University of Copenhagen
Hailing He Jishou University
Zhengping Liu Jishou University
Lieping Zhang Jishou University
Chen Peng Jishou University

DOI:

https://doi.org/10.4108/airo.6117

Keywords:

Large language models, Financial sector, Customer support, Fraud detection

Abstract

In this paper, we delve into the transformative influence of Large Language Models (LLMs) in the financial sector. Through meticulous exploration, we uncover the multifaceted applications of LLMs, ranging from elevating customer support and fortifying fraud detection to reshaping market analysis and prediction. LLMs, with their unparalleled ability to process extensive textual data, bring forth innovative solutions and insights. However, we also address critical challenges such as user trust and ethical considerations, emphasizing the need for responsible integration. Collaborative efforts between industry stakeholders and researchers are essential prerequisites for making a pivotal stride towards a future where LLMs redefine financial practices, with efficiency, accuracy, and ethical precision shaping the industry’s evolution.

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