8 papers
A Self Consistency Based Reranking for Narrative Question Answering
Molham Mohamed, Ali Hamdi
Narrative question answering (NQA) is a challenging task in natural language processing that requires models to understand long textual contexts, capture relationships across event…
CAMO: A Class-Aware Minority-Optimized Ensemble for Robust Language Model Evaluation on Imbalanced Data
Mohamed Ehab, Ali Hamdi, Khaled Shaban
Real-world categorization is severely hampered by class imbalance because traditional ensembles favor majority classes, which lowers minority performance and overall F1-score. We p…
A Severity-Based Curriculum Learning Strategy for Arabic Medical Text Generation
Ahmed Alansary, Molham Mohamed, Ali Hamdi
Arabic medical text generation is increasingly needed to help users interpret symptoms and access general health guidance in their native language. Nevertheless, many existing meth…
Severity-Aware Weighted Loss for Arabic Medical Text Generation
Ahmed Alansary, Molham Mohamed, Ali Hamdi
Large language models have shown strong potential for Arabic medical text generation; however, traditional fine-tuning objectives treat all medical cases uniformly, ignoring differ…
CMHL: Contrastive Multi-Head Learning for Emotionally Consistent Text Classification
Menna Elgabry, Ali Hamdi, Khaled Shaban
Textual Emotion Classification (TEC) is one of the most difficult NLP tasks. State of the art approaches rely on Large language models (LLMs) and multi-model ensembles. In this stu…
Enhancing Mental Health Classification with Layer-Attentive Residuals and Contrastive Feature Learning
Menna Elgabry, Ali Hamdi, Khaled Shaban
The classification of mental health is challenging for a variety of reasons. For one, there is overlap between the mental health issues. In addition, the signs of mental health iss…