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# Step-level Value Preference Optimization for Mathematical Reasoning
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This is the official repository for paper [Step-level Value Preference Optimization for Mathematical Reasoning](https://arxiv.org/abs/2406.10858). It is extracted from our internal corporate codebase. As a result, there may be slight differences when reproducing the numbers reported in our paper, but they should be very close.
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The implementation of SVPO is based on [AlphaMath](https://arxiv.org/abs/2405.03553), such as MCTS and Step-level beam search (SBS).
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Therefore, we provide the [code](https://github.com/MARIO-Math-Reasoning/Super_MARIO) of step-level preference pairs construction in this repository to facilitate reproduction.
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## Citation
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SVPO
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```
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@misc{chen2024steplevel,
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title={Step-level Value Preference Optimization for Mathematical Reasoning},
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author={Guoxin Chen and Minpeng Liao and Chengxi Li and Kai Fan},
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year={2024},
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eprint={2406.10858},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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AlphaMATH
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```
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@misc{chen2024alphamath,
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title={AlphaMath Almost Zero: process Supervision without process},
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author={Guoxin Chen and Minpeng Liao and Chengxi Li and Kai Fan},
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year={2024},
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eprint={2405.03553},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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