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News/LC-GRPO: Bridging Train-Inference Gap for Flow-Based GRPO with Langevin Correction
arxiv
PublishedOctober 28, 2026 at 4:00 AM

LC-GRPO: Bridging Train-Inference Gap for Flow-Based GRPO with Langevin Correction

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arXiv:2608.05600v2 Announce Type: replace Abstract: Flow-based generative models are typically sampled by solving a deterministic ordinary differential equation (ODE), whereas reinforcement learning (RL) requires stochastic rollouts for exploration and optimization. Existing online RL methods for fl

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