3 papers
cs.CV2026
ChinaHeritaQA: A Culturally-Grounded Visual Question Answering Dataset for World Heritage Sites in China
Yi Zhang, Bolei Ma, Yong Cao +3
We introduce ChinaHeritaQA, a multimodal benchmark dataset for evaluating the cultural reasoning abilities of vision-language models (VLMs) on UNESCO World Heritage sites in China.…
cs.CL2025
Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations
Yong Cao, Haijiang Liu, Arnav Arora +3
Large-scale surveys are essential tools for informing social science research and policy, but running surveys is costly and time-intensive. If we could accurately simulate group-le…
cs.CV2024
Vision-Language Models under Cultural and Inclusive Considerations
Antonia Karamolegkou, Phillip Rust, Yong Cao +3
Large vision-language models (VLMs) can assist visually impaired people by describing images from their daily lives. Current evaluation datasets may not reflect diverse cultural us…