Let Agents Design How They Search: Automatic Interface Optimization for Agentic Search

The paper introduces SearchWeaver, a framework that automatically optimizes search interfaces for language-model agents by revising corpus artifacts, executable tools, and usage instructions based on execution trajectories and task rewards. By tailoring the interface to each corpus, the method improves answer accuracy from 71.6% to 78.4% on BrowseComp-Plus and raises average nDCG@10 from 45.7 to 55.0 across four BRIGHT subsets. These results demonstrate the benefit of jointly optimizing interface components to enhance agentic search performance.

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• llms
• agents