4.1 Robustness Equivalence
We aim to analyze whether predicted labels and
rationales are similarly or dissimilarly robust to
noise applied to the input. The former indicates
predicted labels and rationales are strongly as-
sociated, while the latter indicates the opposite.
Given some amount of noise, there are four possi-
Measuring Association Between Labels and Free-Text Rationales