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EfficientRollout: System-Aware Self-Speculative Decoding for RL Rollouts

📄 Paper Trending (20⬆️): Reinforcement learning (RL) has become a representative post-training paradigm for LLMs, enabling strong reasoning and agentic capabilities. However, rollout generation remains a dominant latency bottleneck because autoregressive sampling decodes responses sequentially and a small number of long-tai...

Fuente: HuggingFace_Papers

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📄 Paper Trending (20⬆️): Reinforcement learning (RL) has become a representative post-training paradigm for LLMs, enabling strong reasoning and agentic capabilities. However, rollout generation remains a dominant latency bottleneck because autoregressive sampling decodes responses sequentially and a small number of long-tai...

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EfficientRollout: System-Aware Self-Speculative Decoding for RL Rollouts | ToolAI - StudioCentOS