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cs.AI2025
RAGuard: A Novel Approach for in-context Safe Retrieval Augmented Generation for LLMs
Connor Walker, Koorosh Aslansefat, Mohammad Naveed Akram +1
Accuracy and safety are paramount in Offshore Wind (OSW) maintenance, yet conventional Large Language Models (LLMs) often fail when confronted with highly specialised or unexpected…
cs.AI2025★ 1 cited
Incorporating Failure of Machine Learning in Dynamic Probabilistic Safety Assurance
Razieh Arshadizadeh, Mahmoud Asgari, Zeinab Khosravi +2
Machine Learning (ML) models are increasingly integrated into safety-critical systems, such as autonomous vehicle platooning, to enable real-time decision-making. However, their in…