EPFL's LAW Beats Discrete Diffusion Baselines by Carrying Soft Token States
A new continuous language model called LAW ditches discrete token sampling between steps, propagating expected embeddings instead and outperforming diffusion baselines on reasoning tasks.
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A new continuous language model called LAW ditches discrete token sampling between steps, propagating expected embeddings instead and outperforming diffusion baselines on reasoning tasks.
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