1 citations · 2 across the 14 of their papers we have counts for
14 papers
LQM: Linguistically Motivated Multidimensional Quality Metrics for Machine Translation
Samar M. Magdy, Fakhraddin Alwajih, Abdellah El Mekki +2
Existing MT evaluation frameworks, including automatic metrics and human evaluation schemes such as Multidimensional Quality Metrics (MQM), are largely language-agnostic. However,…
Alexandria: A Multi-Domain Dialectal Arabic Machine Translation Dataset for Culturally Inclusive and Linguistically Diverse LLMs
Abdellah El Mekki, Samar M. Magdy, Houdaifa Atou +44
Arabic is a highly diglossic language where most daily communication occurs in regional dialects rather than Modern Standard Arabic (MSA). Despite this, machine translation (MT) sy…
PalmX 2025: The First Shared Task on Benchmarking LLMs on Arabic and Islamic Culture
Fakhraddin Alwajih, Abdellah El Mekki, Hamdy Mubarak +3
Large Language Models (LLMs) inherently reflect the vast data distributions they encounter during their pre-training phase. As this data is predominantly sourced from the web, ther…
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…
Palm: A Culturally Inclusive and Linguistically Diverse Dataset for Arabic LLMs
Fakhraddin Alwajih, Abdellah El Mekki, Samar Mohamed Magdy +41
As large language models (LLMs) become increasingly integrated into daily life, ensuring their cultural sensitivity and inclusivity is paramount. We introduce our dataset, a year-l…
Jawaher: A Multidialectal Dataset of Arabic Proverbs for LLM Benchmarking
Samar M. Magdy, Sang Yun Kwon, Fakhraddin Alwajih +3
Recent advancements in instruction fine-tuning, alignment methods such as reinforcement learning from human feedback (RLHF), and optimization techniques like direct preference opti…
Gazelle: An Instruction Dataset for Arabic Writing Assistance
Samar M. Magdy, Fakhraddin Alwajih, Sang Yun Kwon +2
Writing has long been considered a hallmark of human intelligence and remains a pinnacle task for artificial intelligence (AI) due to the intricate cognitive processes involved. Re…
Swan and ArabicMTEB: Dialect-Aware, Arabic-Centric, Cross-Lingual, and Cross-Cultural Embedding Models and Benchmarks
Gagan Bhatia, El Moatez Billah Nagoudi, Abdellah El Mekki +2
We introduce {\bf Swan}, a family of embedding models centred around the Arabic language, addressing both small-scale and large-scale use cases. Swan includes two variants: Swan-Sm…
Casablanca: Data and Models for Multidialectal Arabic Speech Recognition
Bashar Talafha, Karima Kadaoui, Samar Mohamed Magdy +24
In spite of the recent progress in speech processing, the majority of world languages and dialects remain uncovered. This situation only furthers an already wide technological divi…
Dallah: A Dialect-Aware Multimodal Large Language Model for Arabic
Fakhraddin Alwajih, Gagan Bhatia, Muhammad Abdul-Mageed
Recent advancements have significantly enhanced the capabilities of Multimodal Large Language Models (MLLMs) in generating and understanding image-to-text content. Despite these su…
Qalam : A Multimodal LLM for Arabic Optical Character and Handwriting Recognition
Gagan Bhatia, El Moatez Billah Nagoudi, Fakhraddin Alwajih +1
Arabic Optical Character Recognition (OCR) and Handwriting Recognition (HWR) pose unique challenges due to the cursive and context-sensitive nature of the Arabic script. This study…
Arabic Automatic Story Generation with Large Language Models
Ahmed Oumar El-Shangiti, Fakhraddin Alwajih, Muhammad Abdul-Mageed
Large language models (LLMs) have recently emerged as a powerful tool for a wide range of language generation tasks. Nevertheless, this progress has been slower in Arabic. In this…
Peacock: A Family of Arabic Multimodal Large Language Models and Benchmarks
Fakhraddin Alwajih, El Moatez Billah Nagoudi, Gagan Bhatia +2
Multimodal large language models (MLLMs) have proven effective in a wide range of tasks requiring complex reasoning and linguistic comprehension. However, due to a lack of high-qua…
Violet: A Vision-Language Model for Arabic Image Captioning with Gemini Decoder
Abdelrahman Mohamed, Fakhraddin Alwajih, El Moatez Billah Nagoudi +2
Although image captioning has a vast array of applications, it has not reached its full potential in languages other than English. Arabic, for instance, although the native languag…