The Virtue of Hallucination: When AI Mistakes Make Software Safer

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“LLMorpheus: Mutation Testing Using Large Language Models,” published in IEEE Transactions on Software Engineering in 2025, proposes a large language model-driven mutation testing framework that moves beyond fixed operator catalogs by using context-aware code infilling.

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Adversarial Robustness in Machine Learning Scientific Computing and Data Management Advanced Malware Detection Techniques

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Published in: Computer

Volume 59, Issue 4, pp. 9-11

DOI: 10.1109/mc.2026.3659286

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The Virtue of Hallucination: When AI Mistakes Make Software Safer

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Abstract

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