Hyebin Kim

Geographic and perceptual bias in multimodal LLMs: evidence from a global dataset spanning more than 200 cities

Multimodal large language models (MLLMs) are increasingly deployed for urban informatics applications, from objective built environment attribute extraction to subjective assessments. However, do MLLMs apply the same standards across regions while executing these urban-related ta...