Author

Guhan Chen

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Preprint Aug 2026

DIAG: Diagnostic Iterative Alignment and Generation for Data-Efficient Mathematical Preference Distillation

Experiments show that DIAG boosts yield across iterations and delivers stronger reasoning performance under an iso-effective training budget, demonstrating that it can distill more informative preference supervision for mathematical reasoning.

Guhan Chen, Songtao Tian, Bo-Han Li et al. · 0 citations