BM25 retrieval makes many-shot ICL for low-resource MT roughly 5x more data-efficient, with 50 examples matching 250 random ones and 250 matching 1000.
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An Empirical Study of Many-Shot In-Context Learning for Machine Translation of Low-Resource Languages
BM25 retrieval makes many-shot ICL for low-resource MT roughly 5x more data-efficient, with 50 examples matching 250 random ones and 250 matching 1000.