arXiv: cs.AI preprintsInternational6 November 2026
Test-Time Self-Play: Scaling without a Verifier
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arXiv:2611.07367v1 Announce Type: cross Abstract: Test-time scaling methods spend additional compute at deployment to improve a large language model's performance on a hard target problem. Most methods rely on a verifier that scores candidate solutions for correctness, using it to select among or refine the model's outputs. In many deployment regimes, however, a strong verifier on the target problem is unavailable. We introduce Test-Time Self-Play (TTSP), an approach to test-time scaling using asymmetric self-play without reliance on a verifier. On a difficulty-calibrated subset of LiveCodeBen
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