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Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation research paper by Cohere, 2024

Cohere · Dec 4, 2024 · Agents and evaluation · 21 upvotes 1 year ago

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What it shows

Global-MMLU addresses cultural biases and translation artifacts in multilingual datasets by involving professional annotators and offering culturally distinct subsets for more accurate model evaluation.

Hugging Face's summary; not yet checked by hand.

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About this paper
Authors
Shivalika Singh, Angelika Romanou, Clémentine Fourrier and 20 more
arXiv
2412.03304 · PDF
Citations
Not counted yet · Semantic Scholar
Upvotes
21 · Hugging Face
Lab
Cohere · on Companies · on Acquisitions · on Releases

Changes

What changed
New paperAdded to the listSep 26, 2026today

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