2025
Can LLMs Explain Themselves Counterfactually?
EMNLP 2025
Explanations are an important tool for gaining insights into model behavior, calibrating user trust, and ensuring compliance.Past few years have seen a flurry of methods for generating explanations, many of which involve computing model gradients or solving specially designed optimization problems.O