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Translation metrics can exhibit significant cross-lingual scoring bias, meaning they unfairly penalize or reward translations depending on the language, even when the quality is the same.
Human-like evaluation of long-form generative AI is now possible, thanks to a new framework that breaks down reference answers into weighted, context-aware scoring points.
