AINeutralarXiv – CS AI · 15h ago6/10
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GICDM: Mitigating Hubness for Reliable Distance-Based Generative Model Evaluation
Researchers introduce GICDM, an improved method for evaluating generative models that corrects the hubness phenomenon—a distortion in high-dimensional spaces that skews distance-based metrics and nearest-neighbor relationships. The technique builds on classical ICDM and includes multi-scale extensions, demonstrating improved alignment with human assessment across synthetic and real benchmarks.