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cs.CL2026
DualGuard: Dual-Mode Quality Control for Logic-Preserving Data Augmentation
Shenghao Li, Lin Zhao
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 logic…
cs.CL2025
LFC-DA: Logical Formula-Controlled Data Augmentation for Enhanced Logical Reasoning
Shenghao Li
For complex logical data augmentation, heavy reliance on human annotation is costly, whereas direct generation with large language models yields uninterpretable and logically homog…