Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing
from Arxiv Papers Hosted by 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
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This episode was published on October 23, 2024.
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