SeLMRoute: Probabilistic Semantic Evidence for Large Language Model Routing
SeLMRoute is introduced, a routing framework that separates the extraction of candidate-independent semantic evidence from the learning of candidate performance and the application of deployment objectives and achieves the highest mean performance among the evaluated semantic, dense, lexical, and domain-level represent...
Vasilis Perifanis, Nikolaos Pavlidis, Symeon Symeonidis
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