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#hybrid-systems2 articles
2 articles
AINeutralarXiv – CS AI · 16h ago6/10
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Why Human Guidance Matters in Collaborative Vibe Coding

A research study involving 737 participants found that human guidance is crucial in 'vibe coding' - using natural language to generate code through AI. The study shows hybrid systems perform best when humans provide high-level instructions while AI handles evaluation, with AI-only instruction leading to performance collapse.

AIBullisharXiv – CS AI · Feb 276/106
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Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion

Researchers developed a hybrid system combining machine learning ensembles with large language models for heart disease prediction, achieving 96.62% accuracy. The study found that traditional ML models (95.78% accuracy) outperformed standalone LLMs (78.9% accuracy), but combining both approaches yielded the best results for clinical decision-support tools.