3 papers
cs.CL2026
In-Context Learning for the Imputation of Public Opinion Data with Large Language Models
Tobias Holtdirk, Georg Ahnert, Joseph W Sakshaug +1
Large language models have been widely evaluated as simulators of individual survey responses. In practice, however, fully unobserved responses are rare; the dominant problem is pa…
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.CV2025
Safer Prompts: Reducing Risks from Memorization in Visual Generative AI
Lena Reissinger, Yuanyuan Li, Anna-Carolina Haensch +1
Visual Generative AI models have demonstrated remarkable capability in generating high-quality images from user inputs like text prompts. However, because these models have billion…