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arXiv · 2507.15581

Metric assessment protocol in the context of answer fluctuation on MCQ tasks

Ekaterina Goliakova·Xavier Renard·Marie-Jeanne Lesot·Thibault Laugel·Christophe Marsala·Marcin Detyniecki
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Abstract

Using multiple-choice questions (MCQs) has become a standard for assessing LLM capabilities efficiently. A variety of metrics can be employed for this task. However, previous research has not conducted a thorough assessment of them. At the same time, MCQ evaluation suffers from answer fluctuation: models produce different results given slight changes in prompts. We suggest a metric assessment protocol in which evaluation methodologies are analyzed through their connection with fluctuation rates, as well as original performance. Our results show that there is a strong link between existing metrics and the answer changing, even when computed without any additional prompt variants. A novel metric, worst accuracy, demonstrates the highest association on the protocol.

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Ekaterina Goliakova, Xavier Renard, Marie-Jeanne Lesot, Thibault Laugel, Christophe Marsala, Marcin Detyniecki. 2025-07-21. Metric assessment protocol in the context of answer fluctuation on MCQ tasks. https://arxiv.org/abs/2507.15581

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