AI RESEARCH
On the Difficulty of Learning a Meta-network for Training Data Selection
arXiv CS.AI
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ArXi:2606.00571v1 Announce Type: cross Synthetic data are increasingly used to train neural networks, yet distributional mismatch with real data limits their effectiveness when used indiscriminately. A common strategy is to -data Selection (MTS). Interestingly, in practice, MTS often performs below expectation. We identify two obstacles in properly