Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs.

arXiv:2603.03415v3 Announce Type: replace-cross Abstract: In this work, we investigate how Large Language Models (LLMs) adapt their internal representations when encountering inputs of increasing difficulty, quantified as the degree of out-of-distribution (OOD