Large language models (LLMs) often refuse to answer pseudo-malicious instructions, meaning queries that are semantically harmless but still trigger refusals because safety alignment is overly ...
Abstract: Evolutionary multi-task optimization is an emerging research topic in the field of evolutionary computation. It aims to achieve simultaneous optimization of different tasks by dynamically ...
Abstract: In recent years, surrogate-assisted evolutionary algorithms (SAEAs) have been extensively utilized to address expensive optimization problems. However, it becomes a great challenge how to ...
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