6 papers
From Code-Centric to Concept-Centric: Teaching NLP with LLM-Assisted "Vibe Coding"
Hend Al-Khalifa
The rapid advancement of Large Language Models (LLMs) presents both challenges and opportunities for Natural Language Processing (NLP) education. This paper introduces ``Vibe Codin…
The Prompting Brain: Neurocognitive Markers of Expertise in Guiding Large Language Models
Hend Al-Khalifa, Raneem Almansour, Layan Abdulrahman Alhuasini +4
Prompt engineering has rapidly emerged as a critical skill for effective interaction with large language models (LLMs). However, the cognitive and neural underpinnings of this expe…
DAIQ: Auditing Demographic Attribute Inference from Question in LLMs
Srikant Panda, Hitesh Laxmichand Patel, Shahad Al-Khalifa +3
Recent evaluations of Large language models (LLMs) audit social bias primarily through prompts that explicitly reference demographic attributes, overlooking whether models infer se…
The Landscape of Arabic Large Language Models (ALLMs): A New Era for Arabic Language Technology
Shahad Al-Khalifa, Nadir Durrani, Hend Al-Khalifa +1
The emergence of ChatGPT marked a transformative milestone for Artificial Intelligence (AI), showcasing the remarkable potential of Large Language Models (LLMs) to generate human-l…
GLARE: Google Apps Arabic Reviews Dataset
Fatima AlGhamdi, Reem Mohammed, Hend Al-Khalifa +1
This paper introduces GLARE an Arabic Apps Reviews dataset collected from Saudi Google PlayStore. It consists of 76M reviews, 69M of which are Arabic reviews of 9,980 Android Appli…
Sentiment Analysis of Arabic Tweets: Feature Engineering and A Hybrid Approach
Nora Al-Twairesh, Hend Al-Khalifa, AbdulMalik Alsalman +1
Sentiment Analysis in Arabic is a challenging task due to the rich morphology of the language. Moreover, the task is further complicated when applied to Twitter data that is known…