Study proposes hyperparameter transfer and ensembling to improve data-constrained LLM scaling
A new arXiv paper addresses training large language models under both compute and data constraints as high-quality data growth lags behind compute budgets, proposing hyperparameter transfer and ensembling to improve scaling.
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- 2026-10-30 04:00 · arXiv cs.LG
Improving Data-Constrained Scaling with Hyperparameter Transfer and Ensembling