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arXiv — cs.AI

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标题为英语GVPO++: Group Variance Policy Optimization for LLM Post-Training and On-Policy Distillation

Post-training plays a pivotal role in enhancing the reasoning capabilities and task-specific expertise of large language models (LLMs). Despite recent advances in post-training methods, such as Group Relative Policy Optimization (GRPO), their practical deployment remains impeded…

arXiv — cs.AI作者: Kaichen Zhang, Yuzhong Hong, Junwei Bao, Hongfei Jiang, Yang Song, Dingqian Hong, Hui Xiong2026年9月22日 (9月22日)
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AI 摘要:要点

  • Post-training plays a pivotal role in enhancing the reasoning capabilities and task-specific expertise of large language models (LLMs)
  • Despite recent advances in post-training methods, such as Group Relative Policy Optimization (GRPO), their practical deployment remains impeded…
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GVPO++: Group Variance Policy Optimization for LLM Post-Training and On-Policy Distillation

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