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DualGuard: Dual-Mode Quality Control for Logic-Preserving Data Augmentation
Large language models provide a practical way to generate augmented data for logical reasoning at scale, but a larger generation volume does not guarantee semantic, label, or logical reliability. Existing work has improved generation quality through generation constraints, candidate validation, filt
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