LLMs infer cultural context from cues but fail to apply it for adapted responses unless prompted sequentially, shown via the CAPRI dataset on units, time, and quantity expressions.
Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models
4 Pith papers cite this work. Polarity classification is still indexing.
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Multicultural multi-agent LLM systems exhibit substantially lower value diversity than human societies on the World Values Survey, with diversity uncorrelated to per-agent alignment and further reduced by agent interactions.
LLMs default to U.S. frameworks for English prompts and China frameworks for Chinese prompts on jurisdiction-underspecified legal-administrative queries, with the pattern holding across all seven tested models.
A multilingual self-consistency plus self-critique method raises cultural alignment scores on English queries by 5.03% on the BLEnD benchmark using only self-generated data.
citing papers explorer
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LLMs Infer Cultural Context but Fail to Apply It When Responding
LLMs infer cultural context from cues but fail to apply it for adapted responses unless prompted sequentially, shown via the CAPRI dataset on units, time, and quantity expressions.
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Beyond Alignment: Value Diversity as a Collective Property in Multicultural Agent Systems
Multicultural multi-agent LLM systems exhibit substantially lower value diversity than human societies on the World Values Survey, with diversity uncorrelated to per-agent alignment and further reduced by agent interactions.
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Cross-Lingual Consensus: Aligning Multilingual Cultural Knowledge via Multilingual Self-Consistency
A multilingual self-consistency plus self-critique method raises cultural alignment scores on English queries by 5.03% on the BLEnD benchmark using only self-generated data.