2024
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals
ICLR 2024poster
Causal explanations of the predictions of NLP systems are essential to ensure safety and establish trust. Yet, existing methods often fall short of explaining model predictions effectively or efficiently and are often model-specific. In this paper, we address model-agnostic explanations, proposing t…