most citedAn Attention Matrix for Every Decision: Faithfulness-based Arbitration Among Multiple Attention-Based Interpretations of Transformers in Text Classification

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.LG2023

Local Interpretability of Random Forests for Multi-Target Regression

Avraam Bardos, Nikolaos Mylonas, Ioannis Mollas +1

Multi-target regression is useful in a plethora of applications. Although random forest models perform well in these tasks, they are often difficult to interpret. Interpretability…

cs.CL2022★ 1 cited

An Attention Matrix for Every Decision: Faithfulness-based Arbitration Among Multiple Attention-Based Interpretations of Transformers in Text Classification

Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas

Transformers are widely used in natural language processing, where they consistently achieve state-of-the-art performance. This is mainly due to their attention-based architecture,…