Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art

CC Liu, I Gurevych, A Korhonen - arXiv preprint arXiv:2406.03930, 2024 - arxiv.org
The surge of interest in culturally aware and adapted Natural Language Processing (NLP)
has inspired much recent research. However, the lack of common understanding of the …

CulturePark: Boosting Cross-cultural Understanding in Large Language Models

C Li, D Teney, L Yang, Q Wen, X Xie… - arXiv preprint arXiv …, 2024 - arxiv.org
Cultural bias is pervasive in many large language models (LLMs), largely due to the
deficiency of data representative of different cultures. Typically, cultural datasets and …

Are Large Language Models Consistent over Value-laden Questions?

J Moore, T Deshpande, D Yang - arXiv preprint arXiv:2407.02996, 2024 - arxiv.org
Large language models (LLMs) appear to bias their survey answers toward certain values.
Nonetheless, some argue that LLMs are too inconsistent to simulate particular values. Are …

CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding Evaluation

Y Wang, Y Liu, F Yu, C Huang, K Li, Z Wan… - arXiv preprint arXiv …, 2024 - arxiv.org
Despite the rapid development of Chinese vision-language models (VLMs), most existing
Chinese vision-language (VL) datasets are constructed on Western-centric images from …