most citedFrom Words to Proverbs: Evaluating LLMs Linguistic and Cultural Competence in Saudi Dialects with Absher

1 citations · 1 across the 4 of their papers we have counts for

collaborators
Showing cs.CLShow all

5 papers · 1 filter

cs.CL2025

AraHealthQA 2025: The First Shared Task on Arabic Health Question Answering

Hassan Alhuzali, Walid Al-Eisawi, Muhammad Abdul-Mageed +9

We introduce AraHealthQA 2025, the Comprehensive Arabic Health Question Answering Shared Task, held in conjunction with ArabicNLP 2025 (co-located with EMNLP 2025). This shared tas…

cs.CL20251 cited

From Words to Proverbs: Evaluating LLMs Linguistic and Cultural Competence in Saudi Dialects with Absher

Renad Al-Monef, Hassan Alhuzali, Nora Alturayeif +1

As large language models (LLMs) become increasingly central to Arabic NLP applications, evaluating their understanding of regional dialects and cultural nuances is essential, parti…

cs.CL2025

SaudiCulture: A Benchmark for Evaluating Large Language Models Cultural Competence within Saudi Arabia

Lama Ayash, Hassan Alhuzali, Ashwag Alasmari +1

Large Language Models (LLMs) have demonstrated remarkable capabilities in natural language processing; however, they often struggle to accurately capture and reflect cultural nuanc…

cs.CL2024

Evaluating the Effectiveness of the Foundational Models for Q&A Classification in Mental Health care

Hassan Alhuzali, Ashwag Alasmari

Pre-trained Language Models (PLMs) have the potential to transform mental health support by providing accessible and culturally sensitive resources. However, despite this potential…

cs.CL2024

MentalQA: An Annotated Arabic Corpus for Questions and Answers of Mental Healthcare

Hassan Alhuzali, Ashwag Alasmari, Hamad Alsaleh

Mental health disorders significantly impact people globally, regardless of background, education, or socioeconomic status. However, access to adequate care remains a challenge, pa…