arXiv cs.LG
· Papers
Scaling Closed-Loop Feature Channel Configuration with LLMs
arXiv:2607.20516v1 Announce Type: new Abstract: Promising initial results in closed-loop large-language-model-based channel-configuration search demonstrated that neural-network widths can be optimized directly through executable code generation and accuracy feedback. However, those results were obtained from a relativ