Guang-Run Wang

SVR: Self-Verifying Refinement via Joint Verdict-Confidence Reinforcement Learning for Adaptive Test-Time Compute

Self-Verifying Refinement (SVR), an oracle-free multi-turn reinforcement learning framework that learns to use self-verification as a compute-control policy, is introduced to demonstrate that learned self-verification can serve as an effective internal control signal for answer retention and adaptive test-time compute...