most citedMulti-Sample Prompting and Actor-Critic Prompt Optimization for Diverse Synthetic Data Generation

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cs.SE2025★ 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…