Re-evaluation of GSM-Symbolic using GLMMs on 20 models shows only half have significant performance changes; a distribution shift in larger integers (K-S=0.12) accounts for significance in half the remaining cases.
InInternational Conference on Learning Representations (ICLR)
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The Importance of Being Statistically Earnest: A Critical Re-evaluation of GSM-Symbolic
Re-evaluation of GSM-Symbolic using GLMMs on 20 models shows only half have significant performance changes; a distribution shift in larger integers (K-S=0.12) accounts for significance in half the remaining cases.