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ENTITY A Hybrid Nested Harness for Decoupling Structure and Parameters in LLM-Driven Optimization

A Hybrid Nested Harness for Decoupling Structure and Parameters in LLM-Driven Optimization

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  1. RESEARCH · CL_193079 ·

    New hybrid framework enhances LLM optimization by decoupling structure and parameters

    Researchers have developed a novel hybrid nested search framework designed to improve the efficiency of large language models (LLMs) in optimization tasks. This approach decouples the structural and parameter updates, a…