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This paper reviews Large Language Models' memorization, exploring its causes, detection methods, implications, and mitigation strategies, while highlighting challenges in balancing memorization minimization with model utility.
https://arxiv.org/abs//2507.05578
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
This paper reviews Large Language Models' memorization, exploring its causes, detection methods, implications, and mitigation strategies, while highlighting challenges in balancing memorization minimization with model utility.
https://arxiv.org/abs//2507.05578
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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