mlsanityData to 14 Oct 2026

DRISHTIKON: A Multimodal Multilingual Benchmark for Testing Language Models' Understanding on Indian Culture

arXiv 2509.19274 ↗First posted 23 Sep 2025cs.CL cs.MMcited by 13

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Abstract (arXiv)

We introduce DRISHTIKON, a first-of-its-kind multimodal and multilingual benchmark centered exclusively on Indian culture, designed to evaluate the cultural understanding of generative AI systems. Unlike existing benchmarks with a generic or global scope, DRISHTIKON offers deep, fine-grained coverage across India's diverse regions, spanning 15 languages, covering all states and union territories, and incorporating over 64,000 aligned text-image pairs. The dataset captures rich cultural themes including festivals, attire, cuisines, art forms, and historical heritage amongst many more. We evaluate a wide range of vision-language models (VLMs), including open-source small and large models, proprietary systems, reasoning-specialized VLMs, and Indic-focused models, across zero-shot and chain-of-thought settings. Our results expose key limitations in current models' ability to reason over culturally grounded, multimodal inputs, particularly for low-resource languages and less-documented traditions. DRISHTIKON fills a vital gap in inclusive AI research, offering a robust testbed to advance culturally aware, multimodally competent language technologies.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Builds on 45 of its 62 references that are in the map. First posted on arXiv 23 Sep 2025.

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45 of 62 references.

References · 45

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33 more
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Citing papers per year: 2025: 3; 2026: 10.

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  1. 2025CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries
  2. 2025IndicVisionBench: Benchmarking Cultural and Multilingual Understanding in VLMs
  3. 2025Seeing Culture: A Benchmark for Visual Reasoning and Grounding
  4. 2026Chitrakshara: A Large Multilingual Multimodal Dataset for Indian languages
  5. 2025EgMM-Corpus: A Multimodal Vision-Language Dataset for Egyptian Culture
  6. 2026MemeCULT-1K: Benchmarking South Asian Cultural Context and Humor Understanding of Multimodal Models
  7. 2025Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation
  8. 2025When Tom Eats Kimchi: Evaluating Cultural Bias of Multimodal Large Language Models in Cultural Mixture Contexts