collaborators

13 papers

cs.CL2026

Learning the Arabic Dialect Continuum as a Continuous Space: A Regression Approach to Speaker Origin Prediction

Mohamed Aziz Khadraoui, Adel Ammar, Bilel Benjdira +3

We present a regression-based approach to Arabic dialect geolocation that models dialectal variation as a continuous geographic space rather than discrete categories. Speaker origi…

cs.CV2026

Trust-SSL: Additive-Residual Selective Invariance for Robust Aerial Self-Supervised Learning

Wadii Boulila, Adel Ammar, Bilel Benjdira +1

Self-supervised learning (SSL) is a standard approach for representation learning in aerial imagery. Existing methods enforce invariance between augmented views, which works well w…

cs.CL2026

MURAD: A Large-Scale Multi-Domain Unified Reverse Arabic Dictionary Dataset

Serry Sibaee, Yasser Alhabashi, Nadia Sibai +4

Arabic is a linguistically and culturally rich language with a vast vocabulary that spans scientific, religious, and literary domains. Yet, large-scale lexical datasets linking Ara…

cs.AI2026

The Path Ahead for Agentic AI: Challenges and Opportunities

Nadia Sibai, Yara Ahmed, Serry Sibaee +3

The evolution of Large Language Models (LLMs) from passive text generators to autonomous, goal-driven systems represents a fundamental shift in artificial intelligence. This chapte…

cs.CL2026

ARCADE: A City-Scale Corpus for Fine-Grained Arabic Dialect Tagging

Omer Nacar, Serry Sibaee, Adel Ammar +12

The Arabic language is characterized by a rich tapestry of regional dialects that differ substantially in phonetics and lexicon, reflecting the geographic and cultural diversity of…

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…