118 citations · 210 across the 13 of their papers we have counts for
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cs.CL2020★ 3 cited
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods?
Jasmijn Bastings, Katja Filippova
There is a recent surge of interest in using attention as explanation of model predictions, with mixed evidence on whether attention can be used as such. While attention convenient…
cs.CL2020★ 13 cited
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models
Ian Tenney, James Wexler, Jasmijn Bastings +8
We present the Language Interpretability Tool (LIT), an open-source platform for visualization and understanding of NLP models. We focus on core questions about model behavior: Why…