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T. Shaska

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Preprint Jul 2026

Hierarchical Grading in Large Language Models

We introduce Graded Large Language Models (GLLMs), an algebraic framework that equips the representation space of a transformer with a grading and propagates the induced weighted scalar action through embeddings, self-attention, and the training objective. The construction extends the theory of graded neural networks a...

T. Shaska · 0 citations

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