Interpretable Feature Discovery from Unstructured Data Using LLMs and Statistical Choice Models.

arXiv:2610.38082v1 Announce Type: cross Abstract: Feature extraction from unstructured data typically relies on opaque embeddings unsuited to interpretable decision-making. Interpretable features, on the other hand, typically require costly, and often infeasib