ChinaHeritaQA is a new bilingual VQA benchmark dataset with 2,279 images and 14,133 QA pairs for evaluating cultural reasoning abilities of VLMs on Chinese World Heritage sites across seven cognitive dimensions.
Culturellm: Incorporating cultural differences into large language models
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 2roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
ChinaHeritaQA: A Culturally-Grounded Visual Question Answering Dataset for World Heritage Sites in China
ChinaHeritaQA is a new bilingual VQA benchmark dataset with 2,279 images and 14,133 QA pairs for evaluating cultural reasoning abilities of VLMs on Chinese World Heritage sites across seven cognitive dimensions.
- A Low-Code Approach for the Automatic Personalization of Conversational Agents