26 citations · 26 across the 1 of their papers we have counts for
7 papers
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…
Explainable Ensemble-Based Machine Learning Models for Detecting the Presence of Cirrhosis in Hepatitis C Patients
Abrar Alotaibi, Lujain Alnajrani, Nawal Alsheikh +5
Hepatitis C is a liver infection caused by a virus, which results in mild to severe inflammation of the liver. Over many years, hepatitis C gradually damages the liver, often leadi…
Large Language Models Hallucination: A Comprehensive Survey
Aisha Alansari, Hamzah Luqman
Large language models (LLMs) have transformed natural language processing, achieving remarkable performance across diverse tasks. However, their impressive fluency often comes at t…
AraReasoner: Evaluating Reasoning-Based LLMs for Arabic NLP
Ahmed Hasanaath, Aisha Alansari, Ahmed Ashraf +3
Large language models (LLMs) have shown remarkable progress in reasoning abilities and general natural language processing (NLP) tasks, yet their performance on Arabic data, charac…
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…
AraHalluEval: A Fine-grained Hallucination Evaluation Framework for Arabic LLMs
Aisha Alansari, Hamzah Luqman
Recently, extensive research on the hallucination of the large language models (LLMs) has mainly focused on the English language. Despite the growing number of multilingual and Ara…