Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,33 @@
|
|
| 1 |
-
|
| 2 |
-
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Step-level Value Preference Optimization for Mathematical Reasoning
|
| 2 |
+
|
| 3 |
+
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.
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
The implementation of SVPO is based on [AlphaMath](https://arxiv.org/abs/2405.03553), such as MCTS and Step-level beam search (SBS).
|
| 7 |
+
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.
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
## Citation
|
| 11 |
+
SVPO
|
| 12 |
+
```
|
| 13 |
+
@misc{chen2024steplevel,
|
| 14 |
+
title={Step-level Value Preference Optimization for Mathematical Reasoning},
|
| 15 |
+
author={Guoxin Chen and Minpeng Liao and Chengxi Li and Kai Fan},
|
| 16 |
+
year={2024},
|
| 17 |
+
eprint={2406.10858},
|
| 18 |
+
archivePrefix={arXiv},
|
| 19 |
+
primaryClass={cs.CL}
|
| 20 |
+
}
|
| 21 |
+
```
|
| 22 |
+
|
| 23 |
+
AlphaMATH
|
| 24 |
+
```
|
| 25 |
+
@misc{chen2024alphamath,
|
| 26 |
+
title={AlphaMath Almost Zero: process Supervision without process},
|
| 27 |
+
author={Guoxin Chen and Minpeng Liao and Chengxi Li and Kai Fan},
|
| 28 |
+
year={2024},
|
| 29 |
+
eprint={2405.03553},
|
| 30 |
+
archivePrefix={arXiv},
|
| 31 |
+
primaryClass={cs.CL}
|
| 32 |
+
}
|
| 33 |
+
```
|