Double Trouble: How to not explain a text classifier's decisions using counterfactuals synthesized by masked language models?

Thang M. Pham, Trung Bui, Long Mai +1

A principle behind dozens of attribution methods is to take the prediction difference between before-and-after an input feature (here, a token) is removed as its attribution. A pop…