June 4, 2024, 10:57 a.m. | /u/StartledWatermelon

Machine Learning www.reddit.com

**TL;DR:** MMLU but more challenging and (supposedly) less noisy

**Paper**: [https://arxiv.org/pdf/2406.01574](https://arxiv.org/pdf/2406.01574)

**Abstract:**

>In the age of large-scale language models, benchmarks like the Massive Multitask Language Understanding (MMLU) have been pivotal in pushing the boundaries of what AI can achieve in language comprehension and reasoning across diverse domains. However, as models continue to improve, their performance on these benchmarks has begun to plateau, making it increasingly difficult to discern differences in model capabilities. This paper introduces MMLU-Pro, an enhanced dataset designed …

abstract age benchmark benchmarks diverse domains however language language models language understanding machinelearning massive mmlu pivotal reasoning robust scale understanding

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