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**[September 26, 2025]** 🔍 We further explored GPPO in depth and proposed **CE-GPPO**, focusing on the impact of ppo-clip tokens on entropy. 📄 The paper is available on [arXiv](https://arxiv.org/pdf/2509.20712) and [HuggingFace Daily](https://huggingface.co/papers/2509.20712).
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**[August 12, 2025]** 🚀 We released the checkpoint for [KlearReasoner-8B](https://huggingface.co/Kwai-Klear/Klear-Reasoner-8B), along with the training data.
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**[August 11, 2025]** 📢 KlearReasoner is available on [arXiv](https://arxiv.org/pdf/2508.07629) and [HuggingFace Daily](https://huggingface.co/papers/2508.07629).
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# ✨ Klear-Reasoner-8B
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We present Klear-Reasoner, a model with long reasoning capabilities that demonstrates careful deliberation during problem solving, achieving outstanding performance across multiple benchmarks. We investigate two key issues with current clipping mechanisms in RL: Clipping suppresses critical exploration signals and ignores suboptimal trajectories. To address these challenges, we propose **G**radient-**P**reserving clipping **P**olicy **O**ptimization (**GPPO**) that gently backpropagates gradients from clipped tokens.
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# 📣 Latest News
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**[September 26, 2025]** 🔍 We further explored GPPO in depth and proposed **CE-GPPO**, focusing on the impact of ppo-clip tokens on entropy. 📄 The paper is available on [arXiv](https://arxiv.org/pdf/2509.20712) and [HuggingFace Daily](https://huggingface.co/papers/2509.20712).
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**[August 12, 2025]** 🚀 We released the checkpoint for [KlearReasoner-8B](https://huggingface.co/Kwai-Klear/Klear-Reasoner-8B), along with the training data.
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**[August 11, 2025]** 📢 KlearReasoner is available on [arXiv](https://arxiv.org/pdf/2508.07629) and [HuggingFace Daily](https://huggingface.co/papers/2508.07629).
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# ✨ Klear-Reasoner-8B
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We present Klear-Reasoner, a model with long reasoning capabilities that demonstrates careful deliberation during problem solving, achieving outstanding performance across multiple benchmarks. We investigate two key issues with current clipping mechanisms in RL: Clipping suppresses critical exploration signals and ignores suboptimal trajectories. To address these challenges, we propose **G**radient-**P**reserving clipping **P**olicy **O**ptimization (**GPPO**) that gently backpropagates gradients from clipped tokens.
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