Can David Beat Goliath? On Multi-Hop Reasoning with Resource-Constrained Agents

Hojae Han, Heeyun Jung, Jongyoon Kim +1

Reinforcement learning (RL) trains small language model agents to answer multi-hop questions by retrieving evidence over multiple turns, but reported gains typically rely on thousa…