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Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning

📄 Paper Trending (73⬆️): Reinforcement learning with verifiable rewards without human-annotated data, often referred to as zero RL, has emerged as a powerful paradigm for eliciting chain-of-thought reasoning. However, due to computational constraints, existing studies are largely restricted to small models, leaving the trai...

Fuente: HuggingFace_Papers

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📄 Paper Trending (73⬆️): Reinforcement learning with verifiable rewards without human-annotated data, often referred to as zero RL, has emerged as a powerful paradigm for eliciting chain-of-thought reasoning. However, due to computational constraints, existing studies are largely restricted to small models, leaving the trai...

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