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News/Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective
arxiv
PublishedJune 2, 2026 at 4:00 AM
▲bullish

Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective

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arxiv.orgfull article ↗
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Publisher summary· verbatim

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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Discussion
Mentioned models
02
  • 01
    GRPO
  • 02
    ConSPO
Source
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arxiv
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Tags
03
#reinforcement-learning#language-models#optimization

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Mentioned models
02
  • 01
    GRPO
  • 02
    ConSPO
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#reinforcement-learning#language-models#optimization
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