https://github.com/anemily-machina/isotropy_transformers

A repoisitory for the Paper: Anisotropy is Not Inherent to Transformers

https://github.com/anemily-machina/isotropy_transformers

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A repoisitory for the Paper: Anisotropy is Not Inherent to Transformers

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  • Host: GitHub
  • Owner: anemily-machina
  • Language: Python
  • Default Branch: main
  • Size: 6.21 MB
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Created over 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme

README.md

Anisotropy is Not Inherent to Transformers

A repository to go along with the NA ACL 2024 paper (Link to paper)

graphs/svd reducation

2D SVD reduction graphs for all models examined in the paper. You can even seen how the grouping changes during trianing.

src/

Currently just two files. One to reproduce the partition function results and a demo file to see how our faster cosine method works.

Will probabily add more here, but if there's anything you'd like me to focus on let me know!

anemily.machina@uwo.ca

References

Please consider citing us if you use any graphs or code from this repository.

@inproceedings{machina-mercer-2024-anisotropy, title = "Anisotropy is Not Inherent to Transformers", author = "Machina, Anemily and Mercer, Robert", editor = "Duh, Kevin and Gomez, Helena and Bethard, Steven", booktitle = "Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)", month = jun, year = "2024", address = "Mexico City, Mexico", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2024.naacl-long.274", pages = "4892--4907", }

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