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Large Language Models Meet Bayesian Optimization: Towards Self-evolving Wireless Digital Twins
Wireless digital twins (DTs) are increasingly integrated with artificial intelligence to support online modeling, prediction, and network optimization. However, most existing approaches perform adaptation within predefined learning or optimization structures, which may become unsuitable when wireles
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