CURE: Cultural Value-based Reasoning for Enhancing the Cultural Adaptability of Large Language Models
While large language models (LLMs) are widely used across cultures, they often generate culturally inappropriate responses in unfamiliar cultural contexts due to biases embedded in their training data. Existing approaches primarily rely on expanding static cultural knowledge, which fails to capture the inherently rel...