Xinran Chen

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.

TurnSight reveals that leveraging turn-level hindsight can dramatically enhance LLM performance in complex tool interactions, outperforming conventional reinforcement learning techniques.