Lexical Perturbations Disrupt LLM Reasoning: An Empirical Study of Attention Diversion

Jiaqian Zhu, Yang Zhang, Junhua Ding +1

Large Language Models (LLMs) achieve strong reasoning performance, but their robustness to realistic lexical corruption remains poorly understood. We evaluate four open-weight inst…