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cs.LG2026
Test-Time Self-Play: Scaling without a Verifier
Akira Yoshiyama, Akmal Ashirmatov, Jonas Hübotter +2
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 scor…
cs.LG2026
Reinforcement Learning via Self-Distillation
Jonas Hübotter, Frederike Lübeck, Lejs Behric +8
Large language models are increasingly post-trained with reinforcement learning in verifiable domains such as code and math. Yet, current methods for reinforcement learning with ve…