Common to Whom? Regional Cultural Commonsense and LLM Bias in India (2026.acl-long)
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Sangmitra Madhusudan, Trush Shashank More, Steph Buongiorno, Renata Dividino, Jad Kabbara, Ali Emami
| Challenge: | Existing cultural commonsense benchmarks treat nations as monolithic, assuming uniform practices within national boundaries. |
| Approach: | They evaluate eight state-of-the-art LLMs and find two critical gaps . commonsense knowledge is fundamentally long-tailed, with most facts rare in training data . |
| Outcome: | The proposed model achieves only 13.4%–20.9% accuracy on region-specific questions and exhibits geographic bias over-selecting Central and North India as the "default" while under-representing East and West. |
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