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LongStraw: Long-Context RL Beyond 2M Tokens under a Fixed GPU Budget

📄 Paper Trending (96⬆️): A growing gap separates inference context lengths from RL post-training: inference systems are approaching million-token contexts, while post-training workloads often remain at 256K tokens or below and rely on length generalization at deployment. The gap is especially important for AI agents, whose ...

Fuente: HuggingFace_Papers

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📄 Paper Trending (96⬆️): A growing gap separates inference context lengths from RL post-training: inference systems are approaching million-token contexts, while post-training workloads often remain at 256K tokens or below and rely on length generalization at deployment. The gap is especially important for AI agents, whose ...

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