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cs.CL2025
Script Gap: Evaluating LLM Triage on Indian Languages in Native vs Romanized Scripts in a Real World Setting
Manurag Khullar, Utkarsh Desai, Poorva Malviya +2
Large Language Models (LLMs) are increasingly deployed in high-stakes clinical applications in India. Speakers of Indian languages frequently communicate using romanized text rathe…
cs.CL2020★ 1 cited
Benchmarking Popular Classification Models' Robustness to Random and Targeted Corruptions
Utkarsh Desai, Srikanth Tamilselvam, Jassimran Kaur +2
Text classification models, especially neural networks based models, have reached very high accuracy on many popular benchmark datasets. Yet, such models when deployed in real worl…