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cs.CL2024
Generalists vs. Specialists: Evaluating Large Language Models for Urdu
Samee Arif, Abdul Hameed Azeemi, Agha Ali Raza +1
In this paper, we compare general-purpose models, GPT-4-Turbo and Llama-3-8b, with special-purpose models--XLM-Roberta-large, mT5-large, and Llama-3-8b--that have been fine-tuned o…
cs.CL2024
UQA: Corpus for Urdu Question Answering
Samee Arif, Sualeha Farid, Awais Athar +1
This paper introduces UQA, a novel dataset for question answering and text comprehension in Urdu, a low-resource language with over 70 million native speakers. UQA is generated by…