78 citations · 123 across the 11 of their papers we have counts for
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cs.CL2022
Order-sensitive Shapley Values for Evaluating Conceptual Soundness of NLP Models
Kaiji Lu, Anupam Datta
Previous works show that deep NLP models are not always conceptually sound: they do not always learn the correct linguistic concepts. Specifically, they can be insensitive to word…
cs.LG2022
Faithful Explanations for Deep Graph Models
Zifan Wang, Yuhang Yao, Chaoran Zhang +5
This paper studies faithful explanations for Graph Neural Networks (GNNs). First, we provide a new and general method for formally characterizing the faithfulness of explanations f…