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The findings support the claim that BF is a more structured and automation-friendly framework than CWE, and exploration reveals specific gaps in BF, including under-specified guidance on attributes.
Gated Activation Steering enables a 4-billion-parameter model to withstand user pressure with a robustness comparable to models over 100 billion parameters, without sacrificing response quality.
Cognitive AI is hindered by significant capability gaps that could stall progress toward truly intelligent systems, but a new taxonomy reveals pathways for overcoming these limitations.
Fine-tuning small LLMs for cybersecurity may actually degrade critical knowledge, with pre-fine-tuning diagnostics offering a way to avoid costly mistakes.
