arXiv (OAI Expanded)
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GrowMTP: Can RL Grow Its Own Draft Head?
Reinforcement learning (RL) post-training drives the frontier capabilities of large language models, with its wall-clock dominated by autoregressive rollout generation. Speculative decoding is an established remedy for this bottleneck, but existing draft heads must be pretrained or warmed up before
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