Abstract: In this paper, we introduce a novel approach for addressing the multi-objective optimization problem in large language model merging via black-box multi-objective optimization algorithms.

This paper delves into how to collaboratively reduce emissions of sulfur dioxide, nitrogen oxides, and carbon dioxide through rational energy consumption and governance investment strategies with ...

Abstract: In recent years, there has been a growing interest in solving constrained multi-objective optimization problems (CMOPs) using simple helper problems. These constrained multi-objective ...