
Sign up to save your podcasts
Or


Current language models often generalize well from easy to hard data, performing as well as models trained on hard data. It may be better to collect and train on easy data rather than hard data, as hard data is noisier and costlier to collect.
https://arxiv.org/abs//2401.06751
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
Current language models often generalize well from easy to hard data, performing as well as models trained on hard data. It may be better to collect and train on easy data rather than hard data, as hard data is noisier and costlier to collect.
https://arxiv.org/abs//2401.06751
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

970 Listeners

1,967 Listeners

436 Listeners

111,948 Listeners

10,182 Listeners

5,530 Listeners

195 Listeners

52 Listeners

101 Listeners

491 Listeners