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Andrea Nam

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Adaptive Test-Time Sampling for RL-Fine-Tuned Reasoning Policies

The project addresses whether training regime changes the reliability of this stopping signal, as opposed to merely the accuracy of the policy, and evaluates self-consistency-based adaptive sampling across three training regimes of the same base model on the Countdown arithmetic task.

Andrea Nam · 0 citations