Papers by El Moatez Billah Nagoudi
JASMINE: Arabic GPT Models for Few-Shot Learning (2023.emnlp-main)
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El Moatez Billah Nagoudi, Muhammad Abdul-Mageed, AbdelRahim Elmadany, Alcides Inciarte, Md Tawkat Islam Khondaker
| Challenge: | generative pretraining (GPT) scholarship remains acutely anglocentric, leaving serious gaps in our understanding of the whole class of autoregressive models. |
| Approach: | They propose to use Arabic autoregressive models to evaluate their performance . they use a benchmark to evaluate the models and code for experimenting with them . |
| Outcome: | JASMINE is a suite of powerful Arabic autoregressive models . it shows powerful performance intrinsically and in few-shot learning on a wide range of tasks. |