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Chalmers University of Technology and University of Gothenburg
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Labeling code as LLM-generated significantly alters developers' attention and review strategies, revealing a critical gap between intention and behavior in code reviews.
Ensemble voting strategies can significantly enhance performance anomaly detection, achieving an 11% boost in F1-score while reducing false positives.