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AgenticSizing: A Large Language Model-based Multi-Agent Framework for Analog Circuit Sizing
Analog circuit sizing remains a challenging and time-consuming task due to the large design space, strong performance trade-offs, and increasing circuit complexity in scaled technologies. Although recent large language model (LLM)-based methods show promise in improving sample efficiency and interpr
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