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A small LLM can be trained to detect hallucinations as effectively as larger models through an innovative self-play framework that evolves its own training data.
A stealthy skill injection method that achieves an 89.3% success rate while evading detection in LLM agents reveals critical vulnerabilities in current safety mechanisms.
