SCOPE uses step-wise confidence and dynamic subgroups to create finer pseudo-labels in test-time RL, delivering 13.1% relative gains on AIME 2025 over majority-voting baselines.
• Including the t minutes spent in the coffee shop, total time is 180 + 24 = 204 minutes
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Beyond Majority Voting: Towards Fine-grained and More Reliable Reward Signal for Test-Time Reinforcement Learning
SCOPE uses step-wise confidence and dynamic subgroups to create finer pseudo-labels in test-time RL, delivering 13.1% relative gains on AIME 2025 over majority-voting baselines.