It’s All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs (2025.emnlp-main)
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| Challenge: | Low-resource languages, especially those written in rare scripts, remain unsupported by large language models due to lack of training data. |
| Approach: | They evaluate 20 under-represented languages across three state-of-the-art multilingual LLMs and compare their methods to parameter-efficient fine-tuning. |
| Outcome: | The proposed methods compare with parameter-efficient fine-tuning (PEFT) on low-resource languages. |
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