Multilingual != Multicultural: Evaluating Gaps Between Multilingual Capabilities and Cultural Alignment in LLMs

Understand

Large Language Models (LLMs) are becoming increasingly capable across global languages.

• However, the ability to communicate across languages does not necessarily translate to appropriate cultural representations.
• A key concern is US-centric bias, where LLMs reflect US rather than local cultural values.
• We propose a novel methodology that compares LLM-generated response distributions against population-level opinion data from the World Value Survey across four languages (Danish, Dutch, English, and Portuguese).