most citedAttention Visualizer Package: Revealing Word Importance for Deeper Insight into Encoder-Only Transformer Models

4 citations · 4 across the 1 of their papers we have counts for

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cs.CL2023★ 4 cited

Attention Visualizer Package: Revealing Word Importance for Deeper Insight into Encoder-Only Transformer Models

Ala Alam Falaki, Robin Gras

This report introduces the Attention Visualizer package, which is crafted to visually illustrate the significance of individual words in encoder-only transformer-based models. In c…