Beyond Words: Exploring Cultural Value Sensitivity in Multimodal Models
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Abstract (arXiv)
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 explored in large vision-language models (VLMs). As the scale of multimodal models continues to grow, it becomes increasingly important to assess whether images can serve as reliable proxies for culture and how these values are embedded through the integration of both visual and textual data. In this paper, we conduct a thorough evaluation of multimodal model at different scales, focusing on their alignment with cultural values. Our findings reveal that, much like LLMs, VLMs exhibit sensitivity to cultural values, but their performance in aligning with these values is highly context-dependent. While VLMs show potential in improving value understanding through the use of images, this alignment varies significantly across contexts highlighting the complexities and underexplored challenges in the alignment of multimodal models.
Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 31 of its 73 references that are in the map. First posted on arXiv 18 Feb 2025.
Builds on
31 of 73 references.
References · 31
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
- 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,393
- 2023Improved Baselines with Visual Instruction Tuningcited by 4,362
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- 2022Visual Spatial Reasoningcited by 288
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19 more
- 2022Probing Pre-Trained Language Models for Cross-Cultural Differences in Valuescited by 147
- 2024CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmarkcited by 118
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Citing papers per year: 2025: 10; 2026: 4.
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- 2025DRISHTIKON: A Multimodal Multilingual Benchmark for Testing Language Models' Understanding on Indian Culturecited by 13
- 2025RAVENEA: A Benchmark for Multimodal Retrieval-Augmented Visual Culture Understandingcited by 8
- 2025Multimodal Cultural Safety: Evaluation Framework and Alignment Strategiescited by 8
- 2025Uncovering Cultural Representation Disparities in Vision-Language Modelscited by 4
- 2025Who Evaluates AI's Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluationscited by 4
- 2025Evaluation of Cultural Competence of Vision-Language Modelscited by 3
- 2025Finding Culture-Sensitive Neurons in Vision-Language Modelscited by 3
- 2025World in a Frame: Understanding Culture Mixing as a New Challenge for Vision-Language Modelscited by 3
- 2026A Unified Framework to Quantify Cultural Intelligence of AIcited by 2
- 2025On The Conceptualization and Societal Impact of Cross-Cultural Biascited by 1
- 2025From Perception to Punchline: Empowering VLM with the Art of In-the-wild Memecited by 1
- 2026ValueGround: Evaluating Culture-Conditioned Visual Value Grounding in MLLMscited by 1
- 2026CultureMINE: Datasets and Methods for Improving the Cultural Capabilities of NLP Systems18 Sep 2026
- 2026ValueGround: Evaluating Culture-Conditioned Visual Value Grounding in MLLMs7 Apr 2026
- 2026Pragmatics Meets Culture: Culturally-adapted Artwork Description Generation and Evaluation2 Apr 2026
- 2026A Unified Framework to Quantify Cultural Intelligence of AI1 Mar 2026
- 2025From Perception to Punchline: Empowering VLM with the Art of In-the-wild Meme31 Dec 2025
- 2025On The Conceptualization and Societal Impact of Cross-Cultural Bias26 Dec 2025
- 2025World in a Frame: Understanding Culture Mixing as a New Challenge for Vision-Language Models27 Nov 2025
- 2025Who Evaluates AI's Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluations6 Nov 2025
- 2025Finding Culture-Sensitive Neurons in Vision-Language Models28 Oct 2025
- 2025DRISHTIKON: A Multimodal Multilingual Benchmark for Testing Language Models' Understanding on Indian Culture23 Sep 2025
- 2025Evaluation of Cultural Competence of Vision-Language Models28 May 2025
- 2025Multimodal Cultural Safety: Evaluation Framework and Alignment Strategies20 May 2025
- 2025RAVENEA: A Benchmark for Multimodal Retrieval-Augmented Visual Culture Understandingcited by 8
- 2025Multimodal Cultural Safety: Evaluation Framework and Alignment Strategiescited by 8
- 2025Uncovering Cultural Representation Disparities in Vision-Language Modelscited by 4
- 2025Evaluation of Cultural Competence of Vision-Language Modelscited by 3
- 2025Finding Culture-Sensitive Neurons in Vision-Language Modelscited by 3
- 2025World in a Frame: Understanding Culture Mixing as a New Challenge for Vision-Language Modelscited by 3
- 2025World in a Frame: Understanding Culture Mixing as a New Challenge for Vision-Language Models27 Nov 2025
- 2025Finding Culture-Sensitive Neurons in Vision-Language Models28 Oct 2025
- 2025Evaluation of Cultural Competence of Vision-Language Models28 May 2025
- 2025Multimodal Cultural Safety: Evaluation Framework and Alignment Strategies20 May 2025
- 2025Uncovering Cultural Representation Disparities in Vision-Language Models20 May 2025
- 2025RAVENEA: A Benchmark for Multimodal Retrieval-Augmented Visual Culture Understanding20 May 2025
- 2025DRISHTIKON: A Multimodal Multilingual Benchmark for Testing Language Models' Understanding on Indian Culturecited by 13
- 2025Who Evaluates AI's Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluationscited by 4
- 2026A Unified Framework to Quantify Cultural Intelligence of AIcited by 2
- 2025On The Conceptualization and Societal Impact of Cross-Cultural Biascited by 1
- 2026ValueGround: Evaluating Culture-Conditioned Visual Value Grounding in MLLMscited by 1
- 2026Pragmatics Meets Culture: Culturally-adapted Artwork Description Generation and Evaluationcited by 0
- 2026CultureMINE: Datasets and Methods for Improving the Cultural Capabilities of NLP Systemscited by 0
- 2026CultureMINE: Datasets and Methods for Improving the Cultural Capabilities of NLP Systems18 Sep 2026
- 2026ValueGround: Evaluating Culture-Conditioned Visual Value Grounding in MLLMs7 Apr 2026
- 2026Pragmatics Meets Culture: Culturally-adapted Artwork Description Generation and Evaluation2 Apr 2026
- 2026A Unified Framework to Quantify Cultural Intelligence of AI1 Mar 2026
- 2025On The Conceptualization and Societal Impact of Cross-Cultural Bias26 Dec 2025
- 2025Who Evaluates AI's Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluations6 Nov 2025
- 2025DRISHTIKON: A Multimodal Multilingual Benchmark for Testing Language Models' Understanding on Indian Culture23 Sep 2025
Similar, not cited
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- 2024Self-Alignment: Improving Alignment of Cultural Values in LLMs via In-Context Learning
- 2025CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries
- 2023CDEval: A Benchmark for Measuring the Cultural Dimensions of Large Language Models
- 2025Break the Checkbox: Challenging Closed-Style Evaluations of Cultural Alignment in LLMs
- 2024See It from My Perspective: How Language Affects Cultural Bias in Image Understanding
- 2026Progressing beyond Art Masterpieces or Touristic Clich'es: how to assess your LLMs for cultural alignment?
- 2025From Surveys to Narratives: Rethinking Cultural Value Adaptation in LLMs
- 2025Cultural Value Alignment in Large Language Models: A Prompt-based Analysis of Schwartz Values in Gemini, ChatGPT, and DeepSeek