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cs.CL2026
Lossy Compressive Text Autoencoders
Vinko Sabolčec, Angelos Katharopoulos, David Grangier
Our work explores learning a compressed latent representation of text, at the intersection of data compression and representation learning. We propose an autoencoder architecture t…
cs.CL2026
Optimal Splitting of Language Models from Mixtures to Specialized Domains
Skyler Seto, Pierre Ablin, Anastasiia Filippova +4
Language models achieve impressive performance on a variety of knowledge, language, and reasoning tasks due to the scale and diversity of pretraining data available. The standard t…