Decodable but Not Faithful: Coupling Natural-Language Rationales to Programmatic Verifiers
arXiv:2606.21678v1 Announce Type: new Abstract: Language models can generate plausible rationales for their predictions, but these explanations may not faithfully represent the model's internal reason