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How Should LLMs Consume High-Quality Data? Optimal Data Scheduling via Quality-Aware Functional Scaling Laws
从理论层面揭示LLM训练中高质量数据的最优调度策略，基于质量感知功能缩放定律给出数据使用时机。
arXiv:2605.25698v1 Announce Type: cross Abstract: High-quality data is scarce in large language model (LLM) training, yet how to schedule its use join…