2 citations · 7 across the 7 of their papers we have counts for
9 papers
SalamahBench: Dialect and Category Level Safety Evaluation of Arabic Language Models
Omar Abdelnasser, Fatemah Alharbi, Khaled Khasawneh +2
While different stakeholders are trying to leverage Arabic Language Models (ALMs), safety alignment in ALMs remains largely underexplored, hindering their mainstream adoption. Exis…
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…
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…
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…
A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context
Noureldin Zahran, Aya E. Fouda, Radwa J. Hanafy +1
Mental health disorders pose a growing public health concern in the Arab world, emphasizing the need for accessible diagnostic and intervention tools. Large language models (LLMs)…
Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models
Abdelrahaman A. Hassan, Radwa J. Hanafy, Mohammed E. Fouda
The growing prevalence and complexity of mental health disorders present significant challenges for accurate diagnosis and treatment, particularly in understanding the interplay be…
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…
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…
Network architecture search of X-ray based scientific applications
Adarsha Balaji, Ramyad Hadidi, Gregory Kollmer +2
X-ray and electron diffraction-based microscopy use bragg peak detection and ptychography to perform 3-D imaging at an atomic resolution. Typically, these techniques are implemente…