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Should We Still Pretrain Encoders with Masked Language Modeling?
This paper compares Masked Language Modeling and Causal Language Modeling for text representation, finding MLM generally performs better, but CLM offers data efficiency and stability, suggesting a biphasic training strategy.
https://arxiv.org/abs//2507.00994
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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By Igor Melnyk
5
33 ratings
This paper compares Masked Language Modeling and Causal Language Modeling for text representation, finding MLM generally performs better, but CLM offers data efficiency and stability, suggesting a biphasic training strategy.
https://arxiv.org/abs//2507.00994
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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