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#artificial intelligence Preprint Sep 2026

Routing Should Pay for Itself: Sparse Supervision for Economical LLM Routing

Large language model (LLM) routing reduces serving cost by assigning each query to an appropriate model while preserving response quality. Learning such a router, however, often requires executing multiple candidate models on historical queries to collect query--model quality feedback, creating a nontrivial supervision...

Guannan Lai, Ge-Lin Bian, Hao-Xuan Ma et al. · 0 citations

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