Rui Kong

This paper proposes SWRouter, a Similarity-Contractive Window Router for multi-turn large language model routing that combines a similarity-based context segmentation mechanism for prompt construction with a dual-metric evaluation framework that decouples construction accuracy from router performance.

Novelty-driven interaction enables agents to explore more effectively while using memory efficiently, outperforming traditional methods in open-ended environments.