A Real-Calibrated Synthetic-First Data Engine
It is shown that synthetic data improves a real-data baseline when used as near-zero-human-annotation-cost augmentation alongside real anchors, while synthetic-only training remains substantially below real-only performance, highlighting the practical value of data-centric orchestration for low-data augmentation.
Yu-Kang Shen, Zhi-Guo Liu, Ying-Shu Li et al.
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