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Changing Answer Order Can Decrease MMLU Accuracy

Published in arXiv (Cornell University) • Jun 27, 2024
NobleIDNI0P23W17R36S10
Authors:
Vipul Gupta
,
David Pantoja
,
Candace Ross

Abstract

As large language models (LLMs) have grown in prevalence, particular benchmarks have become essential for the evaluation of these models and for understanding model capabilities. Most commonly, we use test accuracy averaged across multiple subtasks in order to rank models on leaderboards, to determi...

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