GuardrailAgent defends LLMs against adaptive jailbreak attacks
Multi-agent framework updates knowledge base from attack summaries to achieve 93.1% detection on over ten jailbreaks.
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Multi-agent framework updates knowledge base from attack summaries to achieve 93.1% detection on over ten jailbreaks.
An OpenReview paper reports that large language models can develop novel social biases through adaptive exploration behavior.
Entities are extracted by the model from each article. First seen , last mentioned . Watching keeps it in this browser only (no account); the watchlist page and dashboard alerts use it.
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