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

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cs.CL2025★ 1 cited

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

Saeed AlMarri, Kristof Juhasz, Mathieu Ravaut +3

Large Language Models (LLMs) are increasingly explored as flexible alternatives to classical machine learning models for classification tasks through zero-shot prompting. However,…

cs.CL2024

Enriching Datasets with Demographics through Large Language Models: What's in a Name?

Khaled AlNuaimi, Gautier Marti, Mathieu Ravaut +3

Enriching datasets with demographic information, such as gender, race, and age from names, is a critical task in fields like healthcare, public policy, and social sciences. Such de…