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Found 3 papers, 2 papers with code
DataComp-LM: In search of the next generation of training sets for language models
We introduce DataComp for Language Models (DCLM), a testbed for controlled dataset experiments with the goal of improving language models.
Computational Tradeoffs in Image Synthesis: Diffusion, Masked-Token, and Next-Token Prediction
We find that token prediction methods, led by next-token prediction, significantly outperform diffusion on prompt following.
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
We then explore the impact of finetuning our base model on high-quality data and train a text-to-video model that is competitive with closed-source video generation.
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