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SkillGate reduces the risk of malicious skill files in AI coding agents by achieving an impressive F1 score of 0.817 while slashing LLM input requirements by 77%.
Proprietary MLLMs may achieve high diagnostic accuracy, but they still struggle with reliable clinical reasoning, revealing significant gaps in their practical utility.
Stopping repairs too soon can lead to a 60% drop in true validity, but VRR-Stop ensures LLM agents know exactly when to commit or repair.
Mystra achieves 95.5% recall on dynamic taint analysis with zero false positives while significantly reducing runtime overhead compared to existing tools.
SIMAX reveals that AI-generated clinical dialogues can achieve high realism and fidelity, paving the way for scalable communication coding solutions in healthcare.
