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This paper introduces a method, MIN-K% PROB, to detect if a large language model was trained on a given text without knowing the pretraining data. It achieves better results than previous methods and is effective in various real-world scenarios.
https://arxiv.org/abs//2310.16789
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 introduces a method, MIN-K% PROB, to detect if a large language model was trained on a given text without knowing the pretraining data. It achieves better results than previous methods and is effective in various real-world scenarios.
https://arxiv.org/abs//2310.16789
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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