AIBullisharXiv – CS AI · 10h ago7/10
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BubbleSpec: Turning Long-Tail Bubbles into Speculative Rollout Drafts for Synchronous Reinforcement Learning
Researchers introduce BubbleSpec, a framework that optimizes Reinforcement Learning training for Large Language Models by exploiting idle GPU time during synchronous rollouts. The method uses speculative decoding to pre-generate draft outputs during wait periods, achieving 50% reduction in decoding steps and up to 1.8x throughput improvement while maintaining mathematical exactness.