Formalising the Logit Shift Induced by LoRA: A Technical Note
Xiang Shi, Shuaizhi Cheng, Mingwei Li

TL;DR
This paper provides a first-order formalisation of the logit shift caused by LoRA, decomposing its effects into layerwise contributions and inter-layer interactions using a Fréchet approximation.
Contribution
It introduces a novel first-order mathematical framework to understand and quantify the effects of LoRA on model logits and margins.
Findings
Decomposition of LoRA effects into layerwise contributions.
Identification of inter-layer coupling as a higher-order term.
Formalisation using a Fréchet approximation.
Abstract
This technical note provides a first-order formalisation of the logit shift and fact-margin change induced by Low-Rank Adaptation (LoRA). Using a first-order Fr\'echet approximation around the base model trajectory, we show that the multi-layer LoRA effect can be decomposed into a linear summation of layerwise contributions and a higher-order remainder term representing inter-layer coupling.
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