Tsung-Han (Patrick) Wu

Are Large Reasoning Models Interruptible?

Real-world applications of Large Reasoning Models (LRMs) often require reasoning about changing prompts or environments. In this work, we evaluate LRM robustness under two realistic dynamic scenarios: interruptions, which test the accuracy of model responses under budget-constrained outputs, and dyn…