Narges Norouzi

Are Large Reasoning Models Interruptible?

2025 · arXiv (Cornell University)

Real-world applications of Large Reasoning Models (LRMs) often require reasoning about changing prompts or environments. In this work, we challenge the frozen world assumption and evaluate LRM robustness under two realistic dynamic scenarios: interruptions, which …

LeanTutor: Towards a Verified AI Mathematical Proof Tutor

2025 · arXiv (Cornell University)

This paper considers the development of an AI-based provably-correct mathematical proof tutor. While Large Language Models (LLMs) allow seamless communication in natural language, they are error prone. Theorem provers such as Lean allow for provable-correctness, …