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arXiv · 2310.13781

How Much Consistency Is Your Accuracy Worth?

Jacob K. Johnson·Ana Marasović
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Abstract

Contrast set consistency is a robustness measurement that evaluates the rate at which a model correctly responds to all instances in a bundle of minimally different examples relying on the same knowledge. To draw additional insights, we propose to complement consistency with relative consistency -- the probability that an equally accurate model would surpass the consistency of the proposed model, given a distribution over possible consistencies. Models with 100% relative consistency have reached a consistency peak for their accuracy. We reflect on prior work that reports consistency in contrast sets and observe that relative consistency can alter the assessment of a model's consistency compared to another. We anticipate that our proposed measurement and insights will influence future studies aiming to promote consistent behavior in models.

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Jacob K. Johnson, Ana Marasović. 2023-10-20. How Much Consistency Is Your Accuracy Worth?. https://arxiv.org/abs/2310.13781

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