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-license: apache-2.0
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+license: apache-2.0
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+# Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
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+🖥️[Code](https://github.com/dvlab-research/Step-DPO) | 🤗[Data](https://huggingface.co/datasets/xinlai/Math-Step-DPO-10K) | 📄[Paper](https://arxiv.org/pdf/2406.18629)
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+This repo contains the **DeepSeekMath-RL-Step-DPO** model for our paper **Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs**, **Step-DPO** is a simple, effective, and data-efficient method for boosting the mathematical reasoning ability of LLMs. Notably, Step-DPO, when applied to Qwen2-72B-Instruct, achieves scores of **70.8%** and **94.0%** on the test sets of **MATH** and **GSM8K** without bells and wistles, respectively, surpassing a series of closed-source models, including GPT-4-1106, Claude-3-Opus, and Gemini-1.5-Pro.
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+## Contact
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+Please submit an issue [here](https://github.com/dvlab-research/Step-DPO) or send me an email [here](mailto:[email protected]).