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Canopy: Exploiting Piecewise Smooth Tree Priors for Multi-Fidelity Bandits
Many LLM inference problems, including model routing, prefix-cache management, prompt trimming, and test-time search, can be viewed as optimization over a tree. This structure arises naturally from autoregressive generation: every prefix defines a node, and its continuations form a subtree below it.
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