Sebastian Bordt

LLMs Understand Glass-Box Models, Discover Surprises, and Suggest Repairs

2023 · arXiv (Cornell University)

We show that large language models (LLMs) are remarkably good at working with interpretable models that decompose complex outcomes into univariate graph-represented components. By adopting a hierarchical approach to reasoning, LLMs can provide comprehensive model-level …