activity
20202026
most citedA Survey on Transfer Learning in Natural Language Processing

55 citations · 100 across the 17 of their papers we have counts for

collaborators

19 papers

cs.CL2026

Bulbul: A Dataset for Dialectal Arabic Speech Recognition

Ahmed Ashraf, Aisha Alansari, Fadel Al Abbas +30

Arabic automatic speech recognition (ASR) faces unique challenges due to diglossia, extensive regional dialect variation, and limited speech resources. Existing speech datasets oft…

cs.CL2026

Character Iconicity vs. Arbitrariness: An Arabic NLP Perspective

Dorieh Alomari, Irfan Ahmad, Maged S. Al-shaibani

Arabic script uses 28 letters, many of which share a common base shape (rasm) and are distinguished only by dot placement. Because early Arabic manuscripts were written without dot…

cs.CL2025

MeXtract: Light-Weight Metadata Extraction from Scientific Papers

Zaid Alyafeai, Maged S. Al-Shaibani, Bernard Ghanem

Metadata plays a critical role in indexing, documenting, and analyzing scientific literature, yet extracting it accurately and efficiently remains a challenging task. Traditional a…

cs.CL2025

The Arabic AI Fingerprint: Stylometric Analysis and Detection of Large Language Models Text

Maged S. Al-Shaibani, Moataz Ahmed

Large Language Models (LLMs) have achieved unprecedented capabilities in generating human-like text, posing subtle yet significant challenges for information integrity across criti…

cs.CL2025

Pearl: A Multimodal Culturally-Aware Arabic Instruction Dataset

Fakhraddin Alwajih, Samar M. Magdy, Abdellah El Mekki +34

Mainstream large vision-language models (LVLMs) inherently encode cultural biases, highlighting the need for diverse multimodal datasets. To address this gap, we introduce PEARL, a…

cs.CL2025★ 1 cited

MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMs

Zaid Alyafeai, Maged S. Al-Shaibani, Bernard Ghanem

Metadata extraction is essential for cataloging and preserving datasets, enabling effective research discovery and reproducibility, especially given the current exponential growth…

cs.CL2025

Poem Meter Classification of Recited Arabic Poetry: Integrating High-Resource Systems for a Low-Resource Task

Maged S. Al-Shaibani, Zaid Alyafeai, Irfan Ahmad

Arabic poetry is an essential and integral part of Arabic language and culture. It has been used by the Arabs to spot lights on their major events such as depicting brutal battles…

cs.CL2024

CIDAR: Culturally Relevant Instruction Dataset For Arabic

Zaid Alyafeai, Khalid Almubarak, Ahmed Ashraf +9

Instruction tuning has emerged as a prominent methodology for teaching Large Language Models (LLMs) to follow instructions. However, current instruction datasets predominantly cate…

cs.CL2023

Dotless Representation of Arabic Text: Analysis and Modeling

Maged S. Al-Shaibani, Irfan Ahmad

This paper presents a novel dotless representation of Arabic text as an alternative to the standard Arabic text representation. We delve into its implications through comprehensive…

cs.CL2023★ 4 cited

Ashaar: Automatic Analysis and Generation of Arabic Poetry Using Deep Learning Approaches

Zaid Alyafeai, Maged S. Al-Shaibani, Moataz Ahmed

Poetry holds immense significance within the cultural and traditional fabric of any nation. It serves as a vehicle for poets to articulate their emotions, preserve customs, and con…

cs.CL2023★ 9 cited

Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT Models

Zaid Alyafeai, Maged S. Alshaibani, Badr AlKhamissi +3

Large language models (LLMs) have demonstrated impressive performance on various downstream tasks without requiring fine-tuning, including ChatGPT, a chat-based model built on top…

eess.IV2023★ 4 cited

A Bibliography of Multiple Sclerosis Lesions Detection Methods using Brain MRIs

Atif Shah, Maged S. Al-Shaibani, Moataz Ahmad +1

Introduction: Multiple Sclerosis (MS) is a chronic disease that affects millions of people across the globe. MS can critically affect different organs of the central nervous system…

cs.CL2022

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

BigScience Workshop, :, Teven Le Scao +391

Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to wi…

cs.CL2022★ 3 cited

Masader Plus: A New Interface for Exploring +500 Arabic NLP Datasets

Yousef Altaher, Ali Fadel, Mazen Alotaibi +18

Masader (Alyafeai et al., 2021) created a metadata structure to be used for cataloguing Arabic NLP datasets. However, developing an easy way to explore such a catalogue is a challe…

cs.LG2022★ 21 cited

PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts

Stephen H. Bach, Victor Sanh, Zheng-Xin Yong +24

PromptSource is a system for creating, sharing, and using natural language prompts. Prompts are functions that map an example from a dataset to a natural language input and target…

cs.CL2021

Masader: Metadata Sourcing for Arabic Text and Speech Data Resources

Zaid Alyafeai, Maraim Masoud, Mustafa Ghaleb +1

The NLP pipeline has evolved dramatically in the last few years. The first step in the pipeline is to find suitable annotated datasets to evaluate the tasks we are trying to solve.…

cs.CL2021

Calliar: An Online Handwritten Dataset for Arabic Calligraphy

Zaid Alyafeai, Maged S. Al-shaibani, Mustafa Ghaleb +1

Calligraphy is an essential part of the Arabic heritage and culture. It has been used in the past for the decoration of houses and mosques. Usually, such calligraphy is designed ma…

cs.CL2021★ 3 cited

Evaluating Various Tokenizers for Arabic Text Classification

Zaid Alyafeai, Maged S. Al-shaibani, Mustafa Ghaleb +1

The first step in any NLP pipeline is to split the text into individual tokens. The most obvious and straightforward approach is to use words as tokens. However, given a large text…

cs.CL2020★ 55 cited

A Survey on Transfer Learning in Natural Language Processing

Zaid Alyafeai, Maged Saeed AlShaibani, Irfan Ahmad

Deep learning models usually require a huge amount of data. However, these large datasets are not always attainable. This is common in many challenging NLP tasks. Consider Neural M…