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GVPO: Group Variance Policy Optimization for Post-Training of Large Language Models

💡 原文英文，约100词，阅读约需1分钟。

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内容提要

本研究提出了一种组方差策略优化（GVPO）方法，以解决后训练中的不稳定性问题，确保奖励最大化与最优策略的一致性，从而提供可靠且灵活的后训练范式。

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