arXiv Machine Learning August 3, 2026 By Hongyu Chen, Liang Lin, Guangrun Wang

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

Read the original on arXiv Machine Learning →

arXiv:2607. 28457v1 Announce Type: cross Abstract: Scaling test-time computation can improve language-model reasoning, but uniform budgets waste computation on easy inputs, while verifier-guided refinement relies on external feedback.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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