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papersSEP 12 04:00 UTC

SWRouter: Window Routing Method Targets Multi-Turn LLM Conversations

A new arXiv paper proposes SWRouter, a routing approach that uses similarity-contractive windowing to pick the best large language model for each turn of a multi-turn conversation. The authors note that current routers work well for single queries but do not carry over directly to extended dialogue, where context accumulates. The method aims to address that gap by adapting routing decisions to the conversational window.

arXivSWRouterlarge-language-modelsllm-routingmulti-turn conversations

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