Tag
This paper challenges the assumption that adding more scaffolding components to LLM agents always improves performance, demonstrating through systematic experiments that cross-component interference often leads to degradation. The study finds that simpler, task-specific subsets of components frequently outperform fully equipped 'all-in' agents across various model scales.