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DIAG reshapes practice distribution to maximize informative supervision, leading to significantly improved reasoning performance in LLMs.
Forget human-annotated datasets: MathAgent synthesizes mathematical reasoning data so effectively that models trained on just 1K generated examples outperform those trained on existing datasets.
