For GDPO on MATH-500 and Countdown at each printed sharpness, both biased unweighted IM and the importance-weighted unbiased variant outperform the uniform base in average accuracy, while IM and IW remain close to one another. The paper therefore reports that objective reweighting is not required for the gains.

For GDPO on MATH-500 and Countdown at each printed sharpness, both biased unweighted IM and the importance-weighted unbiased variant outperform the uniform base in average accuracy, while IM and IW remain close to one another. The paper therefore reports that objective reweighting is not required for the gains. · CiteArk

测量结果

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保留同一结论下的完整结果组。已有评估排在前面；单项判断不替代整组结论。展开行查看条件、来源与历次证据。

每行是一项测量，分别显示论文报告、最近可用实测和累计证据状态。
指标与条件	论文报告	最近可用实测	证据判断
dataset: MATH-500 · variant: base · sharpnessD: 0.5 · hostFramework: GDPO	35.5%	—	尚未评估
dataset: MATH-500 · variant: IM · sharpnessD: 0.5 · hostFramework: GDPO	37.3%	—	尚未评估
dataset: MATH-500 · variant: IW · sharpnessD: 0.5 · hostFramework: GDPO	37.2%	—	尚未评估
dataset: Countdown · variant: base · sharpnessD: 0.5 · hostFramework: GDPO	60.6%	—	尚未评估
dataset: Countdown · variant: IM · sharpnessD: 0.5 · hostFramework: GDPO	61.3%	—	尚未评估
dataset: Countdown · variant: IW · sharpnessD: 0.5 · hostFramework: GDPO	62.4%	—	尚未评估
dataset: MATH-500 · variant: base · sharpnessD: 1.5 · hostFramework: GDPO	35.5%	—	尚未评估
dataset: MATH-500 · variant: IM · sharpnessD: 1.5 · hostFramework: GDPO	37%	—	尚未评估
dataset: MATH-500 · variant: IW · sharpnessD: 1.5 · hostFramework: GDPO	37.1%	—	尚未评估
dataset: Countdown · variant: base · sharpnessD: 1.5 · hostFramework: GDPO	60.6%	—	尚未评估
dataset: Countdown · variant: IM · sharpnessD: 1.5 · hostFramework: GDPO	63.3%	—	尚未评估
dataset: Countdown · variant: IW · sharpnessD: 1.5 · hostFramework: GDPO	63%	—	尚未评估

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测量结果