arxiv
PublishedJune 2, 2026 at 4:00 AM
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Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective
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arXiv:2605.12969v3 Announce Type: replace-cross Abstract: Group Relative Policy Optimization (GRPO) is one of the most widely adopted RLVR algorithms for post-training large language models on reasoning tasks. We first show that GRPO admits an equivalent discriminative reformulation, in which policy
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Originally published on arxiv ↗