most citedInterpreting LLMs as Credit Risk Classifiers: Do Their Feature Explanations Align with Classical ML?

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cs.LG2025

Measuring What LLMs Think They Do: SHAP Faithfulness and Deployability on Financial Tabular Classification

Saeed AlMarri, Mathieu Ravaut, Kristof Juhasz +3

Large Language Models (LLMs) have attracted significant attention for classification tasks, offering a flexible alternative to trusted classical machine learning models like LightG…