Financial Domain
Research in the financial domain focuses on leveraging large language models (LLMs) to improve various financial tasks, including sentiment analysis, report generation, and question answering. Current efforts concentrate on adapting and fine-tuning LLMs, often using transformer architectures, for specific financial applications, addressing challenges like domain-specific terminology and the need for numerical reasoning. This work aims to enhance efficiency and accuracy in financial analysis, impacting both academic understanding of LLMs and practical applications within the financial industry, such as automated report generation and improved investment decision-making.
Papers
CGCE: A Chinese Generative Chat Evaluation Benchmark for General and Financial Domains
Xuanyu Zhang, Bingbing Li, Qing Yang
Regex-augmented Domain Transfer Topic Classification based on a Pre-trained Language Model: An application in Financial Domain
Vanessa Liao, Syed Shariyar Murtaza, Yifan Nie, Jimmy Lin