Best Generative Models Papers

The highest-signal papers on Generative Models, ranked by community reviews and momentum.
Canonical intent: topic=generative-models|type=paper|year=evergreen

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Scaling Laws for Autoregressive Generative Modeling
Tom Henighan, Jared Kaplan, Mor Katz, Mark Chen, Christopher Hesse, Jacob Jackson, Heewoo Jun, Tom B. Brown, Prafulla Dhariwal, Scott Gray, Chris Hallacy, Benjamin Mann, Alec Radford, Aditya Ramesh, Nick Ryder, Daniel M. Ziegler, John Schulman, Dario Amodei, Sam McCandlish
Oct 28, 2020·345 checkouts·arxiv.org
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How is this “best Generative Models Papers” collection ranked?

This page ranks Generative Models Papers using topic relevance, checkout momentum, source diversity, and freshness signals. Rankings are recalculated as new items and engagement arrive, so readers see resources that are both high quality and currently useful for implementation, research, and practical decision making. Canonical intent key: topic=generative-models|type=paper|year=evergreen.

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