25 citations · 77 across the 74 of their papers we have counts for
22 papers · 1 filter
Desert Camels and Oil Sheikhs: Arab-Centric Red Teaming of Frontier LLMs
Muhammed Saeed, Elgizouli Mohamed, Mukhtar Mohamed +3
Large language models (LLMs) are widely used but raise ethical concerns due to embedded social biases. This study examines LLM biases against Arabs versus Westerners across eight d…
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…
Effective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs
Abdellah El Mekki, Muhammad Abdul-Mageed
Large Language Models (LLMs) have demonstrated impressive performance on a wide range of natural language processing (NLP) tasks, primarily through in-context learning (ICL). In IC…
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…
WojoodNER 2024: The Second Arabic Named Entity Recognition Shared Task
Mustafa Jarrar, Nagham Hamad, Mohammed Khalilia +3
We present WojoodNER-2024, the second Arabic Named Entity Recognition (NER) Shared Task. In WojoodNER-2024, we focus on fine-grained Arabic NER. We provided participants with a new…
Toucan: Many-to-Many Translation for 150 African Language Pairs
AbdelRahim Elmadany, Ife Adebara, Muhammad Abdul-Mageed
We address a notable gap in Natural Language Processing (NLP) by introducing a collection of resources designed to improve Machine Translation (MT) for low-resource languages, with…
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…
Towards Zero-Shot Text-To-Speech for Arabic Dialects
Khai Duy Doan, Abdul Waheed, Muhammad Abdul-Mageed
Zero-shot multi-speaker text-to-speech (ZS-TTS) systems have advanced for English, however, it still lags behind due to insufficient resources. We address this gap for Arabic, a la…
NADI 2024: The Fifth Nuanced Arabic Dialect Identification Shared Task
Muhammad Abdul-Mageed, Amr Keleg, AbdelRahim Elmadany +5
We describe the findings of the fifth Nuanced Arabic Dialect Identification Shared Task (NADI 2024). NADI's objective is to help advance SoTA Arabic NLP by providing guidance, data…
uDistil-Whisper: Label-Free Data Filtering for Knowledge Distillation in Low-Data Regimes
Abdul Waheed, Karima Kadaoui, Bhiksha Raj +1
Recent work on distilling Whisper's knowledge into small models using pseudo-labels shows promising performance while reducing the size by up to 50%. This results in small, efficie…
What Does it Take to Generalize SER Model Across Datasets? A Comprehensive Benchmark
Adham Ibrahim, Shady Shehata, Ajinkya Kulkarni +2
Speech emotion recognition (SER) is essential for enhancing human-computer interaction in speech-based applications. Despite improvements in specific emotional datasets, there is s…
To Distill or Not to Distill? On the Robustness of Robust Knowledge Distillation
Abdul Waheed, Karima Kadaoui, Muhammad Abdul-Mageed
Arabic is known to present unique challenges for Automatic Speech Recognition (ASR). On one hand, its rich linguistic diversity and wide range of dialects complicate the developmen…
EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations
Chiyu Zhang, Yifei Sun, Minghao Wu +9
Content-based recommendation systems play a crucial role in delivering personalized content to users in the digital world. In this work, we introduce EmbSum, a novel framework that…
Interplay of Machine Translation, Diacritics, and Diacritization
Wei-Rui Chen, Ife Adebara, Muhammad Abdul-Mageed
We investigate two research questions: (1) how do machine translation (MT) and diacritization influence the performance of each other in a multi-task learning setting (2) the effec…
Distilling Text Style Transfer With Self-Explanation From LLMs
Chiyu Zhang, Honglong Cai, Yuezhang +4
Text Style Transfer (TST) seeks to alter the style of text while retaining its core content. Given the constraints of limited parallel datasets for TST, we propose CoTeX, a framewo…
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…
FinTral: A Family of GPT-4 Level Multimodal Financial Large Language Models
Gagan Bhatia, El Moatez Billah Nagoudi, Hasan Cavusoglu +1
We introduce FinTral, a suite of state-of-the-art multimodal large language models (LLMs) built upon the Mistral-7b model and tailored for financial analysis. FinTral integrates te…
SPAR: Personalized Content-Based Recommendation via Long Engagement Attention
Chiyu Zhang, Yifei Sun, Jun Chen +7
Leveraging users' long engagement histories is essential for personalized content recommendations. The success of pretrained language models (PLMs) in NLP has led to their use in e…
Cheetah: Natural Language Generation for 517 African Languages
Ife Adebara, AbdelRahim Elmadany, Muhammad Abdul-Mageed
Low-resource African languages pose unique challenges for natural language processing (NLP) tasks, including natural language generation (NLG). In this paper, we develop Cheetah, a…