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Forget expensive human annotations: LLMs can reliably generate synthetic data to validate NLP evaluation metrics, even outperforming human agreement in some multilingual tasks.
LLMs can classify endangered languages almost as well as high-resource ones, but still struggle to generate text in these languages fluently, even with parallel training data.
