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Mine, Sample, Render: Test-Time Diversity Alignment Of Generative Models

Triaridis, Kostas et al.
arXiv (All) · Papers
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machine-learning
Modern generative models produce high-quality individual outputs but struggle to sample diversely, even when explicitly instructed to do so. We introduce MINE-SAMPLE-RENDER (MSR), a test-time approach that externalizes the diversity into an explicit, corpus-derived sampling procedure. Our pipeline (
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