UDIG is an attribution algorithm that chooses uniform, vocabulary-near interpolation points between a MASK baseline and an input token, improving three faithfulness metrics over Integrated Gradients and Discretized Integrated Gradients on BERT and DistilBERT.
A unified approach to interpreting model predictions,
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Uniform Discretized Integrated Gradients: An effective attribution based method for explaining large language models
UDIG is an attribution algorithm that chooses uniform, vocabulary-near interpolation points between a MASK baseline and an input token, improving three faithfulness metrics over Integrated Gradients and Discretized Integrated Gradients on BERT and DistilBERT.