In-context Mixing (ICM): Code-mixed Prompts for Multilingual LLMs (2024.acl-long)
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| Challenge: | In-context mixing is a prompting technique for effective in-contact learning with multilingual large language models. |
| Approach: | They propose a prompting technique called in-context mixing for effective in-constext learning with multilingual large language models. |
| Outcome: | The proposed prompts perform better with multilingual large language models. |
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Linyong Nan, Yilun Zhao, Weijin Zou, Narutatsu Ri, Jaesung Tae, Ellen Zhang, Arman Cohan, Dragomir Radev
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| Challenge: | In-context learning (ICL) is a widely adopted technique for learning large language models . however, there is little systematic understanding of when and why it works well . |
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