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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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## 📌 Overview
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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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| Resource | Link |
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| 📝 Preprints | [Paper](https://arxiv.org/pdf/2508.07629) |
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| 🤗 Daily Paper | [Paper](https://huggingface.co/papers/2508.07629) |
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| 🤗 Model Hub | [Klear-Reasoner-8B](https://huggingface.co/Suu/Klear-Reasoner-8B) |
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| 🤗 Dataset Hub | [Math RL](https://huggingface.co/datasets/Suu/KlearReasoner-MathSub-30K) |
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| 🤗 Dataset Hub | [Code RL](https://huggingface.co/datasets/Suu/KlearReasoner-CodeSub-15K) |
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| 🐛 Issues & Discussions | [GitHub Issues](https://github.com/suu990901/KlearReasoner/issues) |
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| 📧 Contact | suzhenpeng13@163.com |
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## 📌 Overview
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