From the 2 of 11 linked papers with an AI index.
11 papers
A Multi-Model Metric-based Selection Framework for Abstractive Text summarization
Ahmed Alansary, Ali Hamdi
The paper proposes a framework that combines several fine‑tuned transformer summarizers and selects the best output using automatic metrics, improving abstractive summarization qua…
Severity-Aware Curriculum Learning with Multi-Model Response Selection for Medical Text Generation
Ahmed Alansary, Molham Mohamed, Ali Hamdi
The paper proposes a severity‑aware curriculum learning approach that trains multiple language models sequentially on mild, moderate, and critical medical queries and selects the b…
Improving Answer Extraction in Context-based Question Answering Systems Using LLMs
Hafez Abdelghaffar, Ahmed Alansary, Ali Hamdi
Question answering (QA) systems have achieved notable progress with the advent of large language models (LLMs). However, they still face challenges in accurately extracting and gen…
Hybrid Neural Retrieval with Generative Query Refinement for Quranic Passage Retrieval
Mohamed G. Salman, Mohammad E. Moftah, Ali Hamdi
Quranic Passage Retrieval (PR) could be a challenging task due to the linguistic complexity and the semantic gap between the Modern Standard Arabic (MSA) used in daily queries and…
Two-Stage Quranic QA via Ensemble Retrieval and Instruction-Tuned Answer Extraction
Mohamed Basem, Islam Oshallah, Ali Hamdi +2
Quranic Question Answering presents unique challenges due to the linguistic complexity of Classical Arabic and the semantic richness of religious texts. In this paper, we propose a…
Few-Shot Prompting for Extractive Quranic QA with Instruction-Tuned LLMs
Mohamed Basem, Islam Oshallah, Ali Hamdi +1
This paper presents two effective approaches for Extractive Question Answering (QA) on the Quran. It addresses challenges related to complex language, unique terminology, and deep…