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English(EN) GRPO Beyond English: A Large-Scale Study of GRPO in Non-English and Multilingual Settings

苹果研究探索GRPO在多语言LLM推理中的应用

作者 PulseAugur 编辑部 · [2 个来源] ·

来自Apple Inc.和Hasso Plattner Institute的研究人员对非英语和多语言环境下的Group Relative Policy Optimization (GRPO) 进行了大规模研究。他们的发现表明，训练LLM用其母语进行推理，其性能接近基于英语的推理，并观察到了显著的跨语言迁移。然而，该研究也强调，这些趋势高度依赖于特定的模型和语言，并且在一门语言中的训练有时会导致其他语言的性能下降，因此需要进行广泛的评估。 AI

影响 这项研究通过强调跨语言迁移和潜在的性能下降，可能有助于实现更公平、更有效的多语言LLM开发。

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在 arXiv cs.CL 阅读 →

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苹果研究探索GRPO在多语言LLM推理中的应用

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报道来源 [2]

  1. Apple Machine Learning Research TIER_1 English(EN) ·

    GRPO超越英语：GRPO在非英语和多语言环境中的大规模研究

    Reinforcement Learning with Verifiable Rewards (RLVR), often optimized with Group Relative Policy Optimization (GRPO), has become a central recipe for improving the reasoning capabilities of pretrained language models but current studies remain heavily English-centric. We conduct…

  2. arXiv cs.CL TIER_1 English(EN) · Konstantin Dobler, Federico Scozzafava, Jonathan Janke, Mohamed Ali, Simon Lehnerer ·

    GRPO超越英语：GRPO在非英语及多语言环境中的大规模研究

    arXiv:2608.13698v1 Announce Type: new Abstract: Reinforcement Learning with Verifiable Rewards (RLVR), often optimized with Group Relative Policy Optimization (GRPO), has become a central recipe for improving the reasoning capabilities of pretrained language models but current st…

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