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The paper explores the impact of removing or reorganizing information in pretrained transformers, finding differences in layers and suggesting potential improvements for model usage and architecture.
https://arxiv.org/abs//2407.09298
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
By Igor Melnyk5
33 ratings
The paper explores the impact of removing or reorganizing information in pretrained transformers, finding differences in layers and suggesting potential improvements for model usage and architecture.
https://arxiv.org/abs//2407.09298
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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