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@@ -26,6 +26,8 @@ Large-scale reinforcement learning with verifiable rewards (RLVR) has demonstrat
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  * **arXiv:** [https://arxiv.org/abs/2507.19849](https://arxiv.org/abs/2507.19849)
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  * **GitHub Repository:** [https://github.com/dongguanting/ARPO](https://github.com/dongguanting/ARPO)
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  ## Dataset Description
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  This dataset is integral to the Agentic Reinforced Policy Optimization (ARPO) framework, supporting the training and evaluation of multi-turn LLM-based agents. It is designed to enhance LLMs' capabilities in long-horizon reasoning and proficiency in multi-turn tool interactions across various challenging domains.
 
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  * **arXiv:** [https://arxiv.org/abs/2507.19849](https://arxiv.org/abs/2507.19849)
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  * **GitHub Repository:** [https://github.com/dongguanting/ARPO](https://github.com/dongguanting/ARPO)
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+ https://huggingface.co/papers/2510.14545
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  ## Dataset Description
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  This dataset is integral to the Agentic Reinforced Policy Optimization (ARPO) framework, supporting the training and evaluation of multi-turn LLM-based agents. It is designed to enhance LLMs' capabilities in long-horizon reasoning and proficiency in multi-turn tool interactions across various challenging domains.