most citedSpeak Out of Turn: Safety Vulnerability of Large Language Models in Multi-turn Dialogue

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cs.CL2024

Alignment-Enhanced Decoding:Defending via Token-Level Adaptive Refining of Probability Distributions

Quan Liu, Zhenhong Zhou, Longzhu He +3

Large language models are susceptible to jailbreak attacks, which can result in the generation of harmful content. While prior defenses mitigate these risks by perturbing or inspec…

cs.CL2024★ 1 cited

Speak Out of Turn: Safety Vulnerability of Large Language Models in Multi-turn Dialogue

Zhenhong Zhou, Jiuyang Xiang, Haopeng Chen +3

Large Language Models (LLMs) have been demonstrated to generate illegal or unethical responses, particularly when subjected to "jailbreak." Research on jailbreak has highlighted th…