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@@ -131,7 +131,7 @@ We introduce Mexa, a method for assessing the multilingual capabilities of Engli
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  ## Code
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- https://github.com/kargaranamir
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  ## Details
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  We use parallel datasets from FLORES and the Bible. In the ARC style, we use mean pooling over layers, and the English score achieved by each LLM in the ARC benchmark is used to adjust the multilingual scores. In the Belebele style, we use max pooling over layers, and the English score achieved by each LLM in Belebele is used to adjust the multilingual scores.
 
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  ## Code
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+ https://github.com/cisnlp/Mexa
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  ## Details
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  We use parallel datasets from FLORES and the Bible. In the ARC style, we use mean pooling over layers, and the English score achieved by each LLM in the ARC benchmark is used to adjust the multilingual scores. In the Belebele style, we use max pooling over layers, and the English score achieved by each LLM in Belebele is used to adjust the multilingual scores.