Could Large Language Models work as Post-hoc Explainability Tools in Credit Risk Models?
Abstract Large language models (LLMs) have shown promise in translating model-based explanations into human-readable narratives. This study evaluates whether LLMs can serve as post-hoc explainability interfaces for credi…
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