Papers by Arvind Narayanan

1 papers
Localized Cultural Knowledge is Conserved and Controllable in Large Language Models (2026.findings-acl)

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Challenge: Large language models (LLMs) display language patterns influenced by their native tongue when learning new languages.
Approach: They propose to quantify the explicit-implicit localization gap in large language models by using a new cultural localization benchmark and find large gaps in the majority of models.
Outcome: The proposed model can generate culturally localized responses in multiple languages while maintaining language accuracy and task diversity.

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