AI RESEARCH
Data-Driven Function Calling Improvements in Large Language Model for Online Financial QA
arXiv CS.CL
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ArXi:2604.05387v1 Announce Type: cross Large language models (LLMs) have been incorporated into numerous industrial applications. Meanwhile, a vast array of API assets is scattered across various functions in the financial domain. An online financial question-answering system can leverage both LLMs and private APIs to provide timely financial analysis and information. The key is equipping the LLM model with function calling capability tailored to a financial scenario. However, a generic LLM requires customized financial APIs to call and struggles to adapt to the financial domain.