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SeLMRoute: Probabilistic Semantic Evidence for Large Language Model Routing
Large language model (LLM) routing aims to select the most suitable model for each incoming query. Most existing routers learn this decision directly from query embeddings, model representations, preference data, or clusters of similar examples. Such approaches can be effective, yet the representati
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