Two papers propose new LLM routing methods: FlexRouter and SeLMRoute
Read original source →arxiv.orgFlexRouter argues top-k routers that score models independently pick redundant models sharing failure modes, and instead learns complementary model sets without a rigid compute budget. SeLMRoute builds routing decisions from probabilistic semantic evidence rather than query embeddings, model representations, or preference data.
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