LLM-PO is an adaptive pairwise-comparison procedure that identifies the optimal LLM policy with high probability while asymptotically matching the minimal data requirements derived for unstructured and structured policy spaces.
Ifk < p, then applying (EC.15) to the pair (k, p) gives γ=ρ p d µ(k, p), 1 2 +ξ kp
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Adaptive Simulation Experiment for LLM Policy Optimization
LLM-PO is an adaptive pairwise-comparison procedure that identifies the optimal LLM policy with high probability while asymptotically matching the minimal data requirements derived for unstructured and structured policy spaces.