4 papers
Severity-Aware Curriculum Learning with Multi-Model Response Selection for Medical Text Generation
Ahmed Alansary, Molham Mohamed, Ali Hamdi
Telehealth systems have become increasingly important for delivering accessible and timely medical information. Existing large language models often struggle to provide consistent…
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…
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…