Decoupling Structure and Parameters: Hybrid Framework Boosts LLM-Driven Optimization
Víctor Gallego · hf · 2026-08-11
Researchers introduced a novel hybrid nested search framework to improve the efficiency of LLM-driven optimization in scientific tasks.
The core idea is to decouple the search process: LLMs are used to generate high-level structural proposals, while traditional numerical optimizers handle the specific parameter tuning, combining the strengths of both for a more efficient search.
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