CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries
On the map: Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
Abstract (arXiv)
Vision-language models (VLMs) have advanced human-AI interaction but struggle with cultural understanding, often misinterpreting symbols, gestures, and artifacts due to biases in predominantly Western-centric training data. In this paper, we construct CultureVerse, a large-scale multimodal benchmark covering 19, 682 cultural concepts, 188 countries/regions, 15 cultural concepts, and 3 question types, with the aim of characterizing and improving VLMs' multicultural understanding capabilities. Then, we propose CultureVLM, a series of VLMs fine-tuned on our dataset to achieve significant performance improvement in cultural understanding. Our evaluation of 16 models reveals significant disparities, with a stronger performance in Western concepts and weaker results in African and Asian contexts. Fine-tuning on our CultureVerse enhances cultural perception, demonstrating cross-cultural, cross-continent, and cross-dataset generalization without sacrificing performance on models' general VLM benchmarks. We further present insights on cultural generalization and forgetting. We hope that this work could lay the foundation for more equitable and culturally aware multimodal AI systems.
Key facts. Cited by 40 papers in the map (data through 7 Oct 2026). Placed in VLM benchmarks and visual reasoning, one of 16 directions in Multimodal LLMs / vision-language models. Builds on 32 of its 52 references that are in the map. First posted on arXiv 2 Jan 2025.
Builds on
32 of 52 references.
Closest ancestors · 3
Same direction, newest first
- 2024WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines16 Oct
- 2024Benchmarking Vision Language Models for Cultural Understanding15 Jul
- 2024CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark10 Jun
Other references · 29
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- 2024A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Modelscited by 266
- 2023Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Studycited by 203
- 2024BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languagescited by 171
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- 2023Having Beer after Prayer? Measuring Cultural Bias in Large Language Modelscited by 153
- 2023Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensionscited by 111
- 2022The Ghost in the Machine has an American accent: value conflict in GPT-3cited by 105
- 2023SeaLLMs -- Large Language Models for Southeast Asiacited by 104
- 2024CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologiescited by 98
- 2023Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queriescited by 82
- 2024WorldValuesBench: A Large-Scale Benchmark Dataset for Multi-Cultural Value Awareness of Language Modelscited by 59
- 2024CultureLLM: Incorporating Cultural Differences into Large Language Modelscited by 49
- 2022NormSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Flycited by 48
- 2023Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Modelscited by 42
- 2023Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayingscited by 32
- 2023Taiwan LLM: Bridging the Linguistic Divide with a Culturally Aligned Language Modelcited by 29
- 2023Typhoon: Thai Large Language Modelscited by 28
- 2024MM-Soc: Benchmarking Multimodal Large Language Models in Social Media Platformscited by 26
- 2024CulturePark: Boosting Cross-cultural Understanding in Large Language Modelscited by 24
- 2023ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessmentcited by 19
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Citing papers per year: 2025: 27; 2026: 13.
40 papers.
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- 2025Are Vision Language Models Cross-Cultural Theory of Mind Reasoners?19 Dec 2025
- 2025Seeing Symbols, Missing Cultures: Probing Vision-Language Models' Reasoning on Fire Imagery and Cultural Meaning27 Sep 2025
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- 2025Labels or Input? Rethinking Augmentation in Multimodal Hate Detection15 Aug 2025
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