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Qwen2.5 model shows correlated verifier errors in math tasks · arXiv paper

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A new paper investigates the independence of verifier errors within groups of completions generated by the Qwen2.5-1.5B model. Analyzing nearly 25,000 groups of eight completions across several math datasets, the study found a significant within-group verifier-error correlation of 0.530. This dependence varied based on answer formats, with fractions and symbolic expressions showing stronger clustering than unit annotations. The findings suggest that analyses of verifier noise should account for prompt difficulty and answer form, rather than relying solely on aggregate error rates. AI

IMPACT Highlights the need for more nuanced evaluation of LLM outputs, particularly in complex reasoning tasks.

RANK_REASON Research paper analyzing model behavior on specific datasets. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

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Qwen2.5 model shows correlated verifier errors in math tasks · arXiv paper

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Research paper analyzing model behavior on specific datasets. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Esther Xin ·

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

    arXiv:2609.06386v1 Announce Type: new 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 for…

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