Reducing Cognitive Overhead in Tool Use via Multi-Small-Agent Reinforcement Learning.

arXiv:2508.08882v5 Announce Type: replace Abstract: Recent advances in multi-agent systems highlight the potential of specialized small agents that collaborate via division of labor. Existing tool-integrated reasoning systems, however, often follow a single-ag