Correlation-Aware Contextual Bandits with Surrogate Rewards for LLM Routing.

arXiv:2607.09015v2 Announce Type: replace-cross Abstract: We study contextual bandit problems with correlated arms and access to surrogate reward signals produced by a machine learning model, motivated by applications such as large language model (LLM) routing