Are Verifier Errors Independent Within a GRPO Group? Evidence from Qwen2.5 Rollouts

Title:Are Verifier Errors Independent Within a GRPO Group? Evidence from Qwen2.5 Rollouts

Abstract:Group-based reinforcement learning with verifiable rewards (RLVR) scoresmultiple completions per prompt using automatic verifiers. Analysesbased on independent verifier errors may overlook dependence associatedwith shared answer formats. We investigate this dependence in24,998 groups of eight completions generated by Qwen2.5-1.5B onMATH, GSM8K, and DeepMath-103K. We estimate a pooled within-groupverifier-error correlation of 0.530 (95% confidence interval:0.500--0.560). Under an exchangeable-error model, this correspondsto a design-effect-adjusted effective sample size of 1.70 for aneight-completion group. Dependence varies substantially across answerforms: fractions, radicals, symbolic expressions, and intervals exhibitstronger clustering than unit annotations and percent signs. Replayinggroup-relative advantages across four rule-based verifier configurationsidentifies at least one advantage-sign disagreement in up to 0.83% ofgroups. Because a group is repeated sampling for one prompt, thiswithin-group clustering may reflect shared prompt difficulty as well asshared answer form, and we do not attempt to separate the two this http URL studies of correlated judgments across multiple evaluators, ouranalysis examines dependence across completions scored by the sameverifier. These findings motivate prompt- and answer-form-aware analysesof verifier noise rather than characterizations based solely onaggregate error rates.

Machine Learning (cs.LG); Computation and Language (cs.CL)

arXiv:2609.06386 [cs.LG]

(or arXiv:2609.06386v1 [cs.LG] for this version)

https://doi.org/10.48550/arXiv.2609.06386 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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