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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

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