arxiv
PublishedOctober 21, 2026 at 4:00 AM
Benefit and Cost of Random-Token Replacement under Repeated Data: A Known-Entropy Decomposition and Evidence from Ten Real Corpora
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arXiv:2610.27590v1 Announce Type: cross Abstract: When unique pretraining data is scarce, models see the same tokens many times and are thought to memorize. Random-token replacement, an input-corruption augmentation, is one remedy reported to lower validation loss, but a lower loss alone does not re
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Originally published on arxiv ↗