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Lossy Compressive Text Autoencoders

arXiv:2610.10738v1 Announce Type: new Abstract: Our work explores learning a compressed latent representation of text, at the intersection of data compression and representation learning. We propose an autoencoder architecture that performs residual downscaling and upscaling of hidden representatio…

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  1. 2026-10-09 04:00 · arXiv cs.CL
    Lossy Compressive Text Autoencoders

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