
Language Models (LMs) have revolutionized the field of natural language processing, enabling machines to generate coherent and contextually relevant text. However, recent research has shed light on the susceptibility of LMs to even the tiniest modifications. In this article, we delve into the fascinating realm of minor tweaks and their profound impact on LMs. We explore the effects of different