Software practitioners increasingly rely on Large Language Models (LLMs) to generate code that integrates external libraries. However, LLMs often produce incorrect library usage, such as invalid imports, outdated API calls, and hallucinated dependencies, leading to compilation or runtime failures that reduce the reliab...
Yacine Majdoub, Rinad Hamid, Eya Ben Charrada et al.· 0 citations
The integration of Large Language Models (LLMs) into multi-agent systems has shown great potential for automated debugging. Yet nearly all current frameworks rely on rigid, predefined architectures: the number of agents, their roles, and their interaction patterns are fixed before any analysis of the bug occurs. This o...
Yacine Majdoub, Eya Ben Charrada, Haifa Touati· 0 citations
This study aims to guide researchers and practitioners in designing secure, efficient, and privacy-preserving AI systems for healthcare by proposing a structured classification of privacy-preserving methods into four main categories: cryptographic approaches, decentralized learning methods, perturbation-based technique...
Chaima Bejaoui, Mohamed Hadded, Hakim Ghazzai et al.· Cluster Computing· 0 citations
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