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Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance
Large language models (LLMs) have exhibited an array of reasoning capabilities but face challenges like error propagation and hallucination, particularly in specialised areas like finance, where data is heterogeneous, and precision is paramount.
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