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Scaling Laws Across Model Architectures: A Comparative Analysis of Dense, MoE Models in Large Language Models , author=

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2026 1

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Scaling Laws for Mixture Pretraining Under Data Constraints

cs.LG · 2026-05-12 · conditional · novelty 7.0

Repetition-aware scaling laws show scarce target data in pretraining mixtures can be repeated 15-20 times optimally, with the best count depending on data size, compute, and model scale.

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  • Scaling Laws for Mixture Pretraining Under Data Constraints cs.LG · 2026-05-12 · conditional · none · ref 5

    Repetition-aware scaling laws show scarce target data in pretraining mixtures can be repeated 15-20 times optimally, with the best count depending on data size, compute, and model scale.