Papers with multilingual jailbreak

1 papers
Multilingual Collaborative Defense for Large Language Models (2025.findings-emnlp)

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Challenge: Existing safeguards for Large Language Models are vulnerable to "jailbreaking" harmful queries.
Approach: They propose a learning method that optimizes a continuous soft safety prompt automatically to facilitate multilingual safeguarding of LLMs.
Outcome: The proposed method outperforms previous approaches in multilingual jailbreak defense while exhibiting strong cross-lingual generalization.

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