[QA] Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing

from Arxiv Papers · host Igor Melnyk

This paper explores how Knowledge Editing algorithms can unintentionally distort model representations, leading to decreased factual recall and reasoning abilities, a phenomenon termed "representation shattering." https://arxiv.org/abs//2410.17194 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

Episode metadata supplied by the publisher feed · Published Oct 23, 2024

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[QA] Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing

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