Consistency of Large Reasoning Models Under Multi-Turn Attacks

ArXi:2602.13093v3 Announce Type: replace Large reasoning models with reasoning capabilities achieve state-of-the-art performance on complex tasks, but their robustness under multi-turn adversarial pressure remains underexplored. We evaluate nine frontier reasoning models under adversarial attacks.