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cs.CL2025
GlotEval: A Test Suite for Massively Multilingual Evaluation of Large Language Models
Hengyu Luo, Zihao Li, Joseph Attieh +12
Large language models (LLMs) are advancing at an unprecedented pace globally, with regions increasingly adopting these models for applications in their primary language. Evaluation…
cs.CL2025
Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on Manchu
Renhao Pei, Yihong Liu, Peiqin Lin +2
In-context machine translation (MT) with large language models (LLMs) is a promising approach for low-resource MT, as it can readily take advantage of linguistic resources such as…