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Towards Understanding Self-play for LLM Reasoning

arXiv — cs.LG•Monday, November 3, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
Recent research highlights the potential of self-play in enhancing large language model (LLM) reasoning through reinforcement learning with verifiable rewards. This innovative approach allows models to generate and tackle their own challenges, leading to significant improvements in performance. Understanding the dynamics of self-play is crucial as it could unlock new methods for training AI, making it more effective and adaptable in various applications.
— Curated by the World Pulse Now AI Editorial System
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