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cs.LG2026
Let Training Guide Selection: Online Synthetic Data Filtering via Real-Anchored Utility
Yanran Wu, Sana Lakdawala, Renzo Tassara Miller +6
Synthetic data can scale training supervision when real-world data are limited, but noise and distribution mismatch can reduce its value. Existing synthetic data selection methods…
cs.IR2026
GR2 Technical Report
Yufei Li, Zaiwei Zhang, Mingfu Liang +67
Industrial recommendation systems serve billions of users through a multi-stage funnel -- retrieval, early-stage ranking, and re-ranking -- where the final re-ranking step dispropo…