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News/Tensor Methods for Language Models: From Token Representation to Training, Adaptation, Inference, Compression, and Interpretability
arxiv
PublishedSeptember 1, 2026 at 4:00 AM

Tensor Methods for Language Models: From Token Representation to Training, Adaptation, Inference, Compression, and Interpretability

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arXiv:2608.30505v1 Announce Type: cross Abstract: Large language models (LLMs) are built from structured high-dimensional objects such as token representations, weights, adaptation updates, caches, and activations, whose multilinear structure is underexploited by the conventional matrix-centric view

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