1 citations · 1 across the 5 of their papers we have counts for
5 papers
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.…
Do LLMs Understand Wine Descriptors Across Cultures? A Benchmark for Cultural Adaptations of Wine Reviews
Chenye Zou, Xingyue Wen, Tianyi Hu +2
Recent advances in large language models (LLMs) have opened the door to culture-aware language tasks. We introduce the novel problem of adapting wine reviews across Chinese and Eng…
Culinary Crossroads: A RAG Framework for Enhancing Diversity in Cross-Cultural Recipe Adaptation
Tianyi Hu, Andrea Morales-Garzón, Jingyi Zheng +2
In cross-cultural recipe adaptation, the goal is not only to ensure cultural appropriateness and retain the original dish's essence, but also to provide diverse options for various…
Evaluation of Cultural Competence of Vision-Language Models
Srishti Yadav, Lauren Tilton, Maria Antoniak +10
Modern vision-language models (VLMs) often fail at cultural competency evaluations and benchmarks. Given the diversity of applications built upon VLMs, there is renewed interest in…
Beyond Words: Exploring Cultural Value Sensitivity in Multimodal Models
Srishti Yadav, Zhi Zhang, Daniel Hershcovich +1
Investigating value alignment in Large Language Models (LLMs) based on cultural context has become a critical area of research. However, similar biases have not been extensively ex…