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Segments with conflicting quality signals are systematically undervalued, revealing critical flaws in current evaluation metrics for multilingual tasks.
LLMs struggle with instruction following in Indic languages despite progress in high-resource languages, as shown by a new benchmark spanning 14 languages.
