10 citations
2 papers
cs.CR2026★ 10 cited
Mitigating the OWASP Top 10 For Large Language Models Applications using Intelligent Agents
Mohammad Fasha, Faisal Abul Rub, Nasim Matar +2
Large Language Models (LLMs) have emerged as a transformative and disruptive technology, enabling a wide range of applications in natural language processing, machine translation,…
cs.CL2026★ 1 cited
Parameter Efficient Fine Tuning Llama 3.1 for Answering Arabic Legal Questions: A Case Study on Jordanian Laws
Mohammed Fasha, Bassam Hammo, Bilal Sowan +2
This study uses Jordanian law as a case study to explore the fine-tuning of the Llama-3.1 large language model for Arabic question-answering. Two versions of the model - Llama-3.1-…