Equivalent Flows, Unequal Learning: Clean-Latent Prediction in Transformers
This work studies how moving known computation outside the network changes learning under algebraically equivalent flow interfaces with JLT, a latent Transformer in a frozen variational autoencoder (VAE) representation.
Funing Fu, Tenghui Wang, Guanyu Zhou et al.
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