1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.SE2026★ 1 cited
Multi-Sample Prompting and Actor-Critic Prompt Optimization for Diverse Synthetic Data Generation
Abdelkarim El-Hajjami, Camille Salinesi
High-quality labeled datasets are fundamental for training and evaluating machine learning models, yet domains such as healthcare and Requirements Engineering (RE) face persistent…
cs.SE2025
Synthline: A Product Line Approach for Synthetic Requirements Engineering Data Generation using Large Language Models
Abdelkarim El-Hajjami, Camille Salinesi
While modern Requirements Engineering (RE) heavily relies on natural language processing and Machine Learning (ML) techniques, their effectiveness is limited by the scarcity of hig…
cs.AI2024
Which AI Technique Is Better to Classify Requirements? An Experiment with SVM, LSTM, and ChatGPT
Abdelkarim El-Hajjami, Nicolas Fafin, Camille Salinesi
Recently, Large Language Models like ChatGPT have demonstrated remarkable proficiency in various Natural Language Processing tasks. Their application in Requirements Engineering, e…