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Model: neulab/SP3F-7B
Source: Original Platform

README.md

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+---
+license: mit
+datasets:
+- neulab/SP3F-Training-Data
+base_model:
+- Qwen/Qwen2.5-7B
+pipeline_tag: text-generation
+language:
+- ar
+- bn
+- de
+- en
+- es
+- fr
+- hi
+- id
+- it
+- ja
+- ko
+- pt
+- ru
+- sw
+- te
+- th
+- yo
+- zh
+---
+
+
+# SP3F-7B
+
+SP3F-7B is a multilingual model trained with Self-Play with Privileged Pairwise Feedback, we use Qwen2.5-7B as our base.
+
+<table>
+  <thead>
+    <tr>
+      <th rowspan="2">Model</th>
+      <th colspan="2">Overall</th>
+      <th colspan="2">MGSM</th>
+      <th colspan="2">MT Math100</th>
+      <th colspan="2">Belebele</th>
+      <th colspan="2">Global MMLU Lite</th>
+    </tr>
+    <tr>
+      <th>Acc</th>
+      <th>Lang</th>
+      <th>Acc</th>
+      <th>Lang</th>
+      <th>Acc</th>
+      <th>Lang</th>
+      <th>Acc</th>
+      <th>Lang</th>
+      <th>Acc</th>
+      <th>Lang</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td>Qwen2.5-7B</td>
+      <td>14.79</td>
+      <td>78.78</td>
+      <td>22.15</td>
+      <td>90.67</td>
+      <td>21.16</td>
+      <td>58.22</td>
+      <td>7.52</td>
+      <td>80.39</td>
+      <td>8.34</td>
+      <td>85.85</td>
+    </tr>
+    <tr>
+      <td>&nbsp;&nbsp;&nbsp;&nbsp;+ SFT</td>
+      <td>21.70</td>
+      <td>82.11</td>
+      <td>33.66</td>
+      <td>91.37</td>
+      <td>26.72</td>
+      <td>58.26</td>
+      <td>12.94</td>
+      <td>89.18</td>
+      <td>13.48</td>
+      <td>89.62</td>
+    </tr>
+    <tr>
+      <td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;+ RLVR</td>
+      <td><u>57.79</u></td>
+      <td><b>96.09</b></td>
+      <td>65.34</td>
+      <td><b>99.75</b></td>
+      <td>44.50</td>
+      <td><b>86.10</b></td>
+      <td><b>68.18</b></td>
+      <td><u>98.73</u></td>
+      <td><u>53.15</u></td>
+      <td><b>99.78</b></td>
+    </tr>
+    <tr>
+      <td><b>SP3F-7B</b></td>
+      <td><b>61.91</b></td>
+      <td><u>95.35</u></td>
+      <td><b>72.50</b></td>
+      <td><u>99.38</u></td>
+      <td><u>56.84</u></td>
+      <td><u>82.93</u></td>
+      <td><u>67.54</u></td>
+      <td><b>99.65</b></td>
+      <td>50.76</td>
+      <td><u>99.45</u></td>
+    </tr>
+    <tr>
+      <td>Qwen2.5-7B-Instruct</td>
+      <td>55.87</td>
+      <td>89.21</td>
+      <td><u>66.36</u></td>
+      <td>98.38</td>
+      <td>52.12</td>
+      <td>65.66</td>
+      <td>56.79</td>
+      <td>96.59</td>
+      <td>48.20</td>
+      <td>96.21</td>
+    </tr>
+    <tr>
+      <td>&nbsp;&nbsp;&nbsp;&nbsp;+ Translate Test</td>
+      <td>57.01</td>
+      <td>85.98</td>
+      <td>66.15</td>
+      <td>95.81</td>
+      <td><b>60.08</b></td>
+      <td>59.34</td>
+      <td>48.09</td>
+      <td>92.27</td>
+      <td><b>53.73</b></td>
+      <td>96.49</td>
+    </tr>
+  </tbody>
+</table>
+
+### Citation
+
+If you find this work helpful please use the following to cite our work.
+
+```
+@misc{sutawika2026gainedtranslationprivilegedpairwise,
+      title={Gained in Translation: Privileged Pairwise Judges Enhance Multilingual Reasoning}, 
+      author={Lintang Sutawika and Gokul Swamy and Zhiwei Steven Wu and Graham Neubig},
+      year={2026},
+      eprint={2601.18722},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2601.18722}, 
+}
+```