Papers by Bhavani Shankar

1 papers
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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