Akbar Karimi

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 …

Multi-Hop Reasoning for Question Answering with Hyperbolic Representations

2025

Hyperbolic representations are effective in modeling knowledge graph data which is prevalently used to facilitate multi-hop reasoning.However, a rigorous and detailed comparison of the two spaces for this task is lacking.In this paper, through a …