Cultural Evaluations of Vision-Language Models Have a Lot to Learn from Cultural Theory

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 understanding how they encode cultural nuances. While individual aspects of this problem have been studied, we still lack a comprehensive framework for systematically identifying and annotating the nuanced cultural dimensions present in images for VLMs. This position paper argues that foundational methodologies from visual culture studies (cultural studies, semiotics, and visual studies) are necessary for cultural analysis of images. Building upon this review, we propose a set of five frameworks, corresponding to cultural dimensions, that must be considered for a more complete analysis of the cultural competencies of VLMs.

@article{yadav2025_2505.22793,
  title={ Cultural Evaluations of Vision-Language Models Have a Lot to Learn from Cultural Theory },
  author={ Srishti Yadav and Lauren Tilton and Maria Antoniak and Taylor Arnold and Jiaang Li and Siddhesh Milind Pawar and Antonia Karamolegkou and Stella Frank and Zhaochong An and Negar Rostamzadeh and Daniel Hershcovich and Serge Belongie and Ekaterina Shutova },
  journal={arXiv preprint arXiv:2505.22793},
  year={ 2025 }
}