9 citations · 10 across the 10 of their papers we have counts for
13 papers
StanceEval 2026: The Second Stance Detection Shared Task
Rasha Albalawi, Nuha Albadi, Hamzah Luqman +6
StanceEval 2026 is the second edition of the StanceEval shared task series on stance detection in Arabic social media text. Stance detection aims to identify a writer's stance towa…
Halluscoring 2026: The first shared task on llms hallucination detection and answer verification
Aisha Alansari, Abdessalam Bouchekif, Ahmed Hasanaath +9
We present HalluScoring 2026, a shared task for evaluating hallucination detection and factual verification in Arabic question answering under challenging generalization settings.…
CARDAMOM: A Micro-Dialectal Arabic Speech Dataset for ASR
Bashar Talafha, Samar M. Magdy, Aisha Alansari +36
We present Cardamom, a micro-dialectal Arabic speech dataset designed to support fine-grained evaluation and adaptation of automatic speech recognition (ASR) systems. Community-cur…
NADI 2026: The Second Multidialectal Arabic Speech Processing Shared Task
Peter Sullivan, Bashar Talafha, Ahmed Ashraf +11
NADI 2026 is the seventh edition of the Nuanced Arabic Dialect Identification (NADI) shared task series and the second dedicated to multidialectal Arabic speech processing. This ed…
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…
Mawqif-XT: An Arabic Benchmark Dataset for Cross-Target Stance Detection
Rasha Albalawi, Nuha Albadi, Hamzah Luqman +4
Publicly available Arabic datasets for target-specific stance detection remain limited, particularly for evaluating cross-target generalization. This paper presents the Mawqif-XT,…
CrossHallu: Do Hallucination Signals Generalize Across Languages and Domains in Large Language Model's Internals?
Aisha Alansari, Malak Alkhorasani, Hamzah Luqman
Recent hallucination detection techniques in large language models (LLMs) focus on directly extracting features from a model's internal representations and training a classifier on…
HalluScore: Large Language Model Hallucination Question Answering Benchmark
Aisha Alansari, Hamzah Luqman
Large language models (LLMs) have achieved remarkable progress in natural language generation, but remain susceptible to hallucination. In response to growing concerns about halluc…
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…
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…
Multi-task Learning with Active Learning for Arabic Offensive Speech Detection
Aisha Alansari, Hamzah Luqman
The rapid growth of social media has amplified the spread of offensive, violent, and vulgar speech, which poses serious societal and cybersecurity concerns. Detecting such content…
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…