151 citations · 193 across the 52 of their papers we have counts for
12 papers · 1 filter
Evaluating Decision Models for Text Annotation in Computational Social Science
Hazem Ibrahim, Yasir Zaki
Computational social science increasingly relies on large language models for text annotation, and the validity of published findings now rests on the labels generated by such mode…
Toward a Safer Web: Multilingual Multi-Agent LLMs for Mitigating Adversarial Misinformation Attacks
Nouar Aldahoul, Yasir Zaki
The rapid spread of misinformation on digital platforms threatens public discourse, emotional stability, and decision-making. While prior work has explored various adversarial atta…
Not All Visitors are Bilingual: A Measurement Study of the Multilingual Web from an Accessibility Perspective
Masudul Hasan Masud Bhuiyan, Matteo Varvello, Yasir Zaki +1
English is the predominant language on the web, powering nearly half of the world's top ten million websites. Support for multilingual content is nevertheless growing, with many we…
Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models
Nouar AlDahoul, Yasir Zaki
The rise of social media and online communication platforms has led to the spread of Arabic textual posts and memes as a key form of digital expression. While these contents can be…
Benchmarking the Medical Understanding and Reasoning of Large Language Models in Arabic Healthcare Tasks
Nouar AlDahoul, Yasir Zaki
Recent progress in large language models (LLMs) has showcased impressive proficiency in numerous Arabic natural language processing (NLP) applications. Nevertheless, their effectiv…
Benchmarking the Legal Reasoning of LLMs in Arabic Islamic Inheritance Cases
Nouar AlDahoul, Yasir Zaki
Islamic inheritance domain holds significant importance for Muslims to ensure fair distribution of shares between heirs. Manual calculation of shares under numerous scenarios is co…
Data Doping or True Intelligence? Evaluating the Transferability of Injected Knowledge in LLMs
Essa Jan, Moiz Ali, Muhammad Saram Hassan +2
As the knowledge of large language models (LLMs) becomes outdated over time, there is a growing need for efficient methods to update them, especially when injecting proprietary inf…
Neutralizing the Narrative: AI-Powered Debiasing of Online News Articles
Chen Wei Kuo, Kevin Chu, Nouar AlDahoul +3
Bias in news reporting significantly impacts public perception, particularly regarding crime, politics, and societal issues. Traditional bias detection methods, predominantly relia…
Multitask Mayhem: Unveiling and Mitigating Safety Gaps in LLMs Fine-tuning
Essa Jan, Nouar AlDahoul, Moiz Ali +3
Recent breakthroughs in Large Language Models (LLMs) have led to their adoption across a wide range of tasks, ranging from code generation to machine translation and sentiment anal…
Self-Reflection Makes Large Language Models Safer, Less Biased, and Ideologically Neutral
Fengyuan Liu, Nouar AlDahoul, Gregory Eady +2
Previous studies proposed that the reasoning capabilities of large language models (LLMs) can be improved through self-reflection, i.e., letting LLMs reflect on their own output to…
A Novel BERT-based Classifier to Detect Political Leaning of YouTube Videos based on their Titles
Nouar AlDahoul, Talal Rahwan, Yasir Zaki
A quarter of US adults regularly get their news from YouTube. Yet, despite the massive political content available on the platform, to date no classifier has been proposed to ident…
HowkGPT: Investigating the Detection of ChatGPT-generated University Student Homework through Context-Aware Perplexity Analysis
Christoforos Vasilatos, Manaar Alam, Talal Rahwan +2
As the use of Large Language Models (LLMs) in text generation tasks proliferates, concerns arise over their potential to compromise academic integrity. The education sector current…