mlsanityData to 14 Oct 2026

Evaluating Cultural Awareness of LLMs for Yoruba, Malayalam, and English

arXiv 2410.01811 ↗First posted 14 Sep 2024cs.CY cs.AI cs.CLcited by 8

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Abstract (arXiv)

Although LLMs have been extremely effective in a large number of complex tasks, their understanding and functionality for regional languages and cultures are not well studied. In this paper, we explore the ability of various LLMs to comprehend the cultural aspects of two regional languages: Malayalam (state of Kerala, India) and Yoruba (West Africa). Using Hofstede's six cultural dimensions: Power Distance (PDI), Individualism (IDV), Motivation towards Achievement and Success (MAS), Uncertainty Avoidance (UAV), Long Term Orientation (LTO), and Indulgence (IVR), we quantify the cultural awareness of LLM-based responses. We demonstrate that although LLMs show a high cultural similarity for English, they fail to capture the cultural nuances across these 6 metrics for Malayalam and Yoruba. We also highlight the need for large-scale regional language LLM training with culturally enriched datasets. This will have huge implications for enhancing the user experience of chat-based LLMs and also improving the validity of large-scale LLM agent-based market research.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 27 of its 50 references that are in the map. First posted on arXiv 14 Sep 2024.

Builds on

27 of 50 references.

References · 27

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15 more
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 6; 2026: 2.

8 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2024Survey of Cultural Awareness in Language Models: Text and Beyond
  2. 2025Fluent but Foreign: Even Regional LLMs Lack Cultural Alignment
  3. 2025An Evaluation of Cultural Value Alignment in LLM
  4. 2025Towards Geo-Culturally Grounded LLM Generations
  5. 2024Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language Models
  6. 2025CURE: Cultural Understanding and Reasoning Evaluation - A Framework for "Thick" Culture Alignment Evaluation in LLMs
  7. 2024Evaluating Cultural and Social Awareness of LLM Web Agents
  8. 2024CulturalTeaming: AI-Assisted Interactive Red-Teaming for Challenging LLMs' (Lack of) Multicultural Knowledge