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M. P. Unni

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Preprint Jul 2026

Human-Machine Collaboration on Generative Meta-Learning: Model and Algorithm

Empirical validation shows that GMHF substantially reduces deployment loss as expert reliability increases, and that the divergence between generated and target data falls under reliable feedback, directly corroborating the divergence-minimisation mechanism predicted by the theory.

M. P. Unni, Samuel Kaski · 0 citations