Papers › To Think or Not to Think: Exploring the Unthinking Vulnerability in Large Reasoning Models

To Think or Not to Think: Exploring the Unthinking Vulnerability in Large Reasoning Models

16 Feb 2025arXiv:2502.12202archive 2025-07-28

Zihao Zhu, Hongbao Zhang, Ruotong Wang, Ke Xu, Siwei Lyu, Baoyuan Wu

Large Reasoning Models (LRMs) are designed to solve complex tasks by generating explicit reasoning traces before producing final answers. However, we reveal a critical vulnerability in LRMs -- termed Unthinking Vulnerability -- wherein the thinking process can be bypassed by manipulating special delimiter tokens. It is empirically demonstrated to be widespread across mainstream LRMs, posing both a significant risk and potential utility, depending on how it is exploited. In this paper, we systematically investigate this vulnerability from both malicious and beneficial perspectives. On the malicious side, we introduce Breaking of Thought (BoT), a novel attack that enables adversaries to bypass the thinking process of LRMs, thereby compromising their reliability and availability. We present two variants of BoT: a training-based version that injects backdoor during the fine-tuning stage, and a training-free version based on adversarial attack during the inference stage. As a potential defense, we propose thinking recovery alignment to partially mitigate the vulnerability. On the beneficial side, we introduce Monitoring of Thought (MoT), a plug-and-play framework that allows model owners to enhance efficiency and safety. It is implemented by leveraging the same vulnerability to dynamically terminate redundant or risky reasoning through external monitoring. Extensive experiments show that BoT poses a significant threat to reasoning reliability, while MoT provides a practical solution for preventing overthinking and jailbreaking. Our findings expose an inherent flaw in current LRM architectures and underscore the need for more robust reasoning systems in the future.

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evaluate_question zihao-ai/unthinking_vulnerability/MoT/generate_effiency.py official repository ran · violated contract no licence file found · pointer only · e903f0c23562d4f5 · report
evaluate_thinking zihao-ai/unthinking_vulnerability/MoT/generate_effiency.py official repository ran · violated contract no licence file found · pointer only · 547bcf7ac9669873 · report
extract_thinking_to_last_punctuation zihao-ai/unthinking_vulnerability/MoT/generate_effiency.py official repository ran · our draft was wrong fingerprinted no licence file found · pointer only · eaf38eec3d260e03 · report
poison_math_problem zihao-ai/unthinking_vulnerability/training_based_BoT/bot_sft_lora.py official repository ran · our draft was wrong no licence file found · pointer only · 08cfda0dbd62bd38 · report
setup_experiment_dir zihao-ai/unthinking_vulnerability/training_based_BoT/bot_sft_lora.py official repository ran · our draft was wrong no licence file found · pointer only · 874988906a52ded5 · report

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