Shuaibo Hu

Learning Robust Rationales for Model Explainability: A Guidance-Based Approach

Selective rationalization can be regarded as a straightforward self-explaining approach for enhancing model explainability in natural language processing tasks. It aims to provide explanations that are more accessible and understandable to non-technical users by first selecting subsets of input text…