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Reasoning Externalization for Faithful Large Language Model Narratives of Stock Return Predictions
In finance, interpreting machine learning predictions is essential, yet the numerical outputs of explainable AI can be difficult for non-experts to understand. While large language models (LLMs) can translate these outputs into natural language, they may produce errors when inferring numerical chang
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