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.
N orm A d: A Framework for Measuring the Cultural Adaptability of Large Language Models
3 Pith papers cite this work. Polarity classification is still indexing.
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LLMs recover only ~20% of explicit pragmatic shifts under implicit cultural cues across five languages, responding mainly to linguistic structure rather than cultural associations as shown by Hindi-Urdu controls.
Persona-driven generations by LLMs in MCQA tasks exhibit instability that differs systematically by model family, size, domain, and prompt format.
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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Do LLMs Use Cultural Knowledge Without Being Told? A Multilingual Evaluation of Implicit Pragmatic Adaptation
LLMs recover only ~20% of explicit pragmatic shifts under implicit cultural cues across five languages, responding mainly to linguistic structure rather than cultural associations as shown by Hindi-Urdu controls.
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Persona Non Grata: LLM Persona-Driven Generations in MCQA are Unstable in Distinct Dimensions
Persona-driven generations by LLMs in MCQA tasks exhibit instability that differs systematically by model family, size, domain, and prompt format.