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News/Breaking Entropy Bounds: Accelerating RL Training via MTP with Rejection Sampling
arxiv
PublishedJune 11, 2026 at 4:00 AM

Breaking Entropy Bounds: Accelerating RL Training via MTP with Rejection Sampling

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Publisher summary· verbatim

arXiv:2606.12370v1 Announce Type: cross Abstract: Reinforcement learning (RL) has become a key component in modern large language models, yet the rollout stage remains the key bottleneck in RL training pipelines. Although Multi-Token Prediction (MTP) offers a natural solution to accelerate rollouts

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