arxiv
PublishedMay 29, 2026 at 4:00 AM
—neutral
Kronecker Embeddings: Byte-Level Structured Token Representations for Parameter-Efficient Language Models
Publisher summary· verbatim
arXiv:2605.29459v1 Announce Type: new Abstract: Large language models route every input through a learned embedding table of shape |V| x d_model, consuming hundreds of millions to billions of trainable parameters at frontier scale. We introduce Kronecker Embeddings, a deterministic byte-level charac
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Originally published on arxiv ↗