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arXiv preprint arXiv:2602.12237 , year=

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2026 4

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Capacity-Aware Mixture Law Enables Efficient LLM Data Optimization

cs.LG · 2026-03-09 · unverdicted · novelty 6.0

CAMEL is a scaling law capturing nonlinear model-size and mixture interactions to extrapolate optimal data mixtures for large LLMs from small-model experiments, reducing optimization cost by 50% and improving benchmarks by up to 3%.

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