Papers by Nemil Shah

1 papers
DRISHTIKON: A Multimodal Multilingual Benchmark for Testing Language Models’ Understanding on Indian Culture (2025.emnlp-main)

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Challenge: DRISHTIKON is a first-of-its-kind multimodal and multilingual benchmark centered exclusively on Indian culture.
Approach: They evaluate a wide range of vision-language models across zero-shot and chain-of-thought settings and use them to evaluate cultural understanding of generative AI systems.
Outcome: The DRISHTIKON dataset covers 15 languages, all states and union territories, and incorporating over 64,000 aligned text-image pairs.

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