2 citations · 7 across the 7 of their papers we have counts for
4 papers · 1 filter
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)…