
Sign up to save your podcasts
Or


The paper introduces a method to estimate the amount of text in a corpus likely modified by large language models. Results show 6.5-16.9% of peer reviews could be LLM-generated.
https://arxiv.org/abs//2403.07183
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 introduces a method to estimate the amount of text in a corpus likely modified by large language models. Results show 6.5-16.9% of peer reviews could be LLM-generated.
https://arxiv.org/abs//2403.07183
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

956 Listeners

1,942 Listeners

438 Listeners

111,918 Listeners

9,986 Listeners

5,510 Listeners

211 Listeners

49 Listeners

92 Listeners

474 Listeners