Papers with CAMeL dataset

1 papers
Global Gallery: The Fine Art of Painting Culture Portraits through Multilingual Instruction Tuning (2024.naacl-long)

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Challenge: This study examines the ability of Large Language Models to encapsulate cultural nuances across diverse linguistic landscapes.
Approach: They examine the efficacy of language-specific instruction tuning and the impact of pretraining on dominant language data in Large Language Models.
Outcome: The findings highlight a nuanced landscape, with inconsistencies and biases, particularly in non-Western cultures.

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