Qamar, Shahzeb

ArithmAttack: Evaluating Robustness of LLMs to Noisy Context in Math Problem Solving

2025 · arXiv (Cornell University)

While Large Language Models (LLMs) have shown impressive capabilities in math problem-solving tasks, their robustness to noisy inputs is not well-studied. We propose ArithmAttack to examine how robust the LLMs are when they encounter noisy …