AI RESEARCH
An Empirical Study of Many-Shot In-Context Learning for Machine Translation of Low-Resource Languages
arXiv CS.CL
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ArXi:2604.02596v1 Announce Type: new In-context learning (ICL) allows large language models (LLMs) to adapt to new tasks from a few examples, making it promising for languages underrepresented in pre-