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Sagan

Paper

Quality-Diversity Evolution for Discovering Diverse Vulnerabilities in LLM Safety

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AI summary

arXiv:2606. 00801v1 Announce Type: new Abstract: Current approaches to LLM adversarial testing suffer from coverage gaps: manual red-teaming does not scale, LLM-as-attacker methods exhibit mode collapse, and gradient-based approaches produce uninterpretable gibberish.