4 citations · 7 across the 4 of their papers we have counts for
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cs.CL2024
Exploring the Limitations of Detecting Machine-Generated Text
Jad Doughman, Osama Mohammed Afzal, Hawau Olamide Toyin +3
Recent improvements in the quality of the generations by large language models have spurred research into identifying machine-generated text. Such work often presents high-performi…
cs.CL2024★ 1 cited
ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic
Fajri Koto, Haonan Li, Sara Shatnawi +10
The focus of language model evaluation has transitioned towards reasoning and knowledge-intensive tasks, driven by advancements in pretraining large models. While state-of-the-art…
cs.CL2022★ 4 cited
Gender Bias in Text: Labeled Datasets and Lexicons
Jad Doughman, Wael Khreich
Language has a profound impact on our thoughts, perceptions, and conceptions of gender roles. Gender-inclusive language is, therefore, a key tool to promote social inclusion and co…