A broad survey of knowledge distillation for LLMs that summarizes published methods but contains no new results and several citation errors.
An elementary description of $K_1(R)$ without elementary matrices
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
Let $R$ be a ring with unit. Passing to the colimit with respect to the standard inclusions $GL(n,R) \to GL(n+1,R)$ (which add a unit vector as new last row and column) yields, by definition, the stable linear group $GL(R)$; the same result is obtained, up to isomorphism, when using the "opposite" inclusions (which add a unit vector as new first row and column). In this note it is shown that passing to the colimit along both these families of inclusions simultaneously recovers the algebraic $K$-group $K_1(R) = GL(R)/E(R)$ of~$R$, giving an elementary description that does not involve elementary matrices explicitly.
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cs.CL 1years
2025 1verdicts
REJECT 1representative citing papers
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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models
A broad survey of knowledge distillation for LLMs that summarizes published methods but contains no new results and several citation errors.