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cs.LG2025
Block Sparse Flash Attention
Daniel Ohayon, Itay Lamprecht, Itay Hubara +3
Modern large language models increasingly require long contexts for reasoning and multi-document tasks, but attention's quadratic complexity creates a severe computational bottlene…
cs.LG2024
Classification Diffusion Models: Revitalizing Density Ratio Estimation
Shahar Yadin, Noam Elata, Tomer Michaeli
A prominent family of methods for learning data distributions relies on density ratio estimation (DRE), where a model is trained to between data samples and sam…