8 papers
SalamahBench: Toward Standardized Safety Evaluation for Arabic Language Models
Omar Abdelnasser, Fatemah Alharbi, Khaled Khasawneh +2
Safety alignment in Language Models (LMs) is fundamental for trustworthy AI. However, while different stakeholders are trying to leverage Arabic Language Models (ALMs), systematic…
PsychiatryBench: A Multi-Task Benchmark for LLMs in Psychiatry
Aya E. Fouda, Abdelrahamn A. Hassan, Radwa J. Hanafy +1
Large language models (LLMs) offer significant potential in enhancing psychiatric practice, from improving diagnostic accuracy to streamlining clinical documentation and therapeuti…
A Comprehensive Evaluation of Large Language Models on Mental Illnesses
Abdelrahman Hanafi, Mohammed Saad, Noureldin Zahran +2
Large Language Models (LLMs) have shown promise in various domains, including healthcare, with significant potential to transform mental health applications by enabling scalable an…
LM-Fix: Lightweight Bit-Flip Detection and Rapid Recovery Framework for Language Models
Ahmad Tahmasivand, Noureldin Zahran, Saba Al-Sayouri +2
This paper presents LM-Fix, a lightweight detection and rapid recovery framework for faults in large language models (LLMs). Existing integrity approaches are often heavy or slow f…
Leveraging Audio and Text Modalities in Mental Health: A Study of LLMs Performance
Abdelrahman A. Ali, Aya E. Fouda, Radwa J. Hanafy +1
Mental health disorders are increasingly prevalent worldwide, creating an urgent need for innovative tools to support early diagnosis and intervention. This study explores the pote…
Leveraging Embedding Techniques in Multimodal Machine Learning for Mental Illness Assessment
Abdelrahaman A. Hassan, Abdelrahman A. Ali, Aya E. Fouda +2
The increasing global prevalence of mental disorders, such as depression and PTSD, requires objective and scalable diagnostic tools. Traditional clinical assessments often face lim…