2 papers
stat.ME2025
Optimal Post-processing of Synthetic Data for Pearson Correlation Matching
Oussama Ounissi, Nicklas Jävergård, Assaad Zeghina +1
Preserving correlation in synthetic data is of interest in several applications. Existing approaches mainly address correlation preservation during the generation procedure. Here,…
cs.CL2025
LLM-based Semantic Augmentation for Harmful Content Detection
Elyas Meguellati, Assaad Zeghina, Shazia Sadiq +1
Recent advances in large language models (LLMs) have demonstrated strong performance on simple text classification tasks, frequently under zero-shot settings. However, their effica…