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### Acknowledgements | |
This demo was developed for the Interpretability & Explainability in AI course at the University of | |
Amsterdam. We would like to express our thanks to Jelle Zuidema, Jaap Jumelet, Tom Kersten, Christos | |
Athanasiadis, Peter Heemskerk, Zhi Zhang, and all the other TAs who helped us during this course. | |
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### References | |
\[1\]: Chefer, H., Gur, S., & Wolf, L. (2021). Generic attention-model explainability for interpreting bi-modal and encoder-decoder transformers. <br> | |
\[2\]: Abnar, S., & Zuidema, W. (2020). Quantifying attention flow in transformers. arXiv preprint arXiv:2005.00928. <br> | |
\[3\]: [https://samiraabnar.github.io/articles/2020-04/attention_flow](https://samiraabnar.github.io/articles/2020-04/attention_flow) <br> | |