Small Agents, Big Gains: Journey-Aware and Critic-Guided Simulation for Long-Horizon Shopping Dialogues
This work proposes a closed-loop Multi-Agent Simulation Framework to synthe-size diverse, faithful, and policy-aligned shopping trajectories, and presents synthetic data that enables a small model to significantly outperform same-size baselines and surpass a large-model baseline.