Large Language Models, LLMs-based Multi Agent Systems, software engineering
Fairness Detection, Bias Symptoms, Empirical Study, Software Fairness
Recommender systems, Github topics recommendations, Collaborative-Filtering techniques, Naïve Bayesian Network
Software Classification, Active Sampling, Taxonomy, GitHub
Code Obfuscation, Large Language Models, Semantic elasticity, Open-source LLMs, Prompt Engineering, software security
Machine Learning Fairness, Software Engineering for Artificial Intelligence, Empirical Software Engineering