3 papers
cs.CL2026
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM
Noor Khalal, Abdallah Alaa-Eddine Djamai, Imed Keraghel +1
In Natural Language Processing (NLP), dealing with underrepresented topics is challenging, especially in unsupervised tasks where clustering might not adequately capture minority t…
cs.CR2026
When Labels Are Scarce: A Systematic Mapping of Label-Efficient Code Vulnerability Detection
Noor Khalal, Chakib Fettal, Lazhar Labiod +1
Machine-learning-based code vulnerability detection (CVD) has progressed rapidly, from deep program representations to pretrained code models and LLM-centered pipelines. Yet depend…
cs.CL2024
Graph-Convolutional Networks: Named Entity Recognition and Large Language Model Embedding in Document Clustering
Imed Keraghel, Mohamed Nadif
Recent advances in machine learning, particularly Large Language Models (LLMs) such as BERT and GPT, provide rich contextual embeddings that improve text representation. However, c…