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20172026
most citedEnhancing textual textbook question answering with large language models and retrieval augmented generation

41 citations · 69 across the 22 of their papers we have counts for

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16 papers · 1 filter

cs.CL2026

MentalMARBERT: Domain-Adaptive Pre-training and Two-Stage Fine-Tuning for Arabic Mental Health Disorders Detection

Fatimah Almalki, Areej Alhothali, Lulwah Alharigy +1

Detecting mental health disorders from Arabic social media text remains challenging due to dialectal variation, informal language, limited high-quality annotated resources, and sev…

cs.CL2025

ArbESC+: Arabic Enhanced Edit Selection System Combination for Grammatical Error Correction Resolving conflict and improving system combination in Arabic GEC

Ahlam Alrehili, Areej Alhothali

Grammatical Error Correction (GEC) is an important aspect of natural language processing. Arabic has a complicated morphological and syntactic structure, posing a greater challenge…

cs.CL2025

Domain-Adaptive Pre-Training for Arabic Aspect-Based Sentiment Analysis: A Comparative Study of Domain Adaptation and Fine-Tuning Strategies

Salha Alyami, Amani Jamal, Areej Alhothali

Aspect-based sentiment analysis (ABSA) in natural language processing enables organizations to understand customer opinions on specific product aspects. While deep learning models…

cs.CL2025

Continuous Saudi Sign Language Recognition: A Vision Transformer Approach

Soukeina Elhassen, Lama Al Khuzayem, Areej Alhothali +2

Sign language (SL) is an essential communication form for hearing-impaired and deaf people, enabling engagement within the broader society. Despite its significance, limited public…

cs.CL2025

TransGAT: Transformer-Based Graph Neural Networks for Multi-Dimensional Automated Essay Scoring

Hind Aljuaid, Areej Alhothali, Ohoud Al-Zamzami +1

Essay writing is a critical component of student assessment, yet manual scoring is labor-intensive and inconsistent. Automated Essay Scoring (AES) offers a promising alternative, b…

cs.CL2025

Evaluating Multimodal Large Language Models on Educational Textbook Question Answering

Hessa A. Alawwad, Anas Zafar, Areej Alhothali +3

Multimodal large language models (MLLMs) have shown success in vision-language tasks, but their ability to reason over complex educational materials remains largely untested. This…