Large Language Models Perceive Cities Through a Culturally Uneven Baseline 事件

Large Language Models Perceive Cities Through a Culturally Uneven Baseline arXiv:2604.20048v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly used to describe, evaluate and interpret places, yet it remains unclear whether they do so from a culturally neutral standpoint. Here we test urban perception in frontier LLMs using a balanced global street-view sample and prompts that either remain neutral or invoke different regional cultural standpoints. Across open-ended