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News/Wrong Votes, Right Gradients: Why Majority-Vote Rewards Track Verifiable RL
arxiv
PublishedOctober 16, 2026 at 4:00 AM

Wrong Votes, Right Gradients: Why Majority-Vote Rewards Track Verifiable RL

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arXiv:2610.20898v1 Announce Type: cross Abstract: Reinforcement learning with self-generated labels, such as majority vote over a model's own samples, often recovers most of the gain of training with verifiable rewards. This is puzzling from the usual prompt-level view, in which majority vote only r

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