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July 5, 2024Open Access

Generalists vs. Specialists: Evaluating Large Language Models for Urdu

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Authors

SASamee ArifUniversity of MichiganAAAbdul Hameed AzeemiLahore University of Management SciencesARAgha Ali RazaLahore University of Management Sciences

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Cite This Study

Arif et al. (2024) studied this question.

synapsesocial.com/papers/68e614bab6db6435875a7ba7https://doi.org/10.48550/arxiv.2407.04459
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Benchmarking the Performance of Pre-trained LLMs across Urdu NLP Tasks2024
  2. 2Qalb: Largest State-of-the-Art Urdu Large Language Model for 230M Speakers with Systematic Continued Pre-Training2026
  3. 3Multilingual Generative AI Framework for Urdu and Regional Language Understanding Using Large Language Models2026
  4. 4Performance of Recent Large Language Models for a Low-Resourced Language2024 · 1 citations
  5. 5LLM-Generated Synthetic Data for Low-Resource Urdu–English Neural Machine Translation2026