ROARMetrics

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Double Trouble: How to not Explain a Text Classifier’s Decisions Using Counterfactuals Synthesized by Masked Language Models?

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractA 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 popular Input Marginalization …...

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