Update README.md
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README.md
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@@ -85,6 +85,277 @@ print(evidence)
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## **Evaluation Results**
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| 88 |
**SemViQA-QATC** plays a crucial role in the **SemViQA** system by enhancing accuracy in evidence extraction. When integrated into a pipeline, this model helps determine whether a claim is supported or refuted based on retrieved evidence.
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## **Citation**
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## **Evaluation Results**
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+
<table>
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+
<thead>
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+
<tr>
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+
<th colspan="2">Method</th>
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<th colspan="4">ViWikiFC</th>
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</tr>
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+
<tr>
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+
<th>ER</th>
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<th>VC</th>
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<th>Strict Acc</th>
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<th>VC Acc</th>
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<th>ER Acc</th>
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<th>Time (s)</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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+
<td rowspan="3">TF-IDF</td>
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| 106 |
+
<td>InfoXLM<sub>large</sub></td>
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<td>75.56</td>
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<td>82.21</td>
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<td>90.15</td>
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<td>131</td>
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</tr>
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<tr>
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<td>XLM-R<sub>large</sub></td>
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| 114 |
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<td>76.47</td>
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| 115 |
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<td>82.78</td>
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<td>90.15</td>
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<td>134</td>
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</tr>
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<tr>
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<td>Ernie-M<sub>large</sub></td>
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| 121 |
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<td>75.56</td>
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<td>81.83</td>
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| 123 |
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<td>90.15</td>
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<td>144</td>
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</tr>
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<tr>
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<td rowspan="3">BM25</td>
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<td>InfoXLM<sub>large</sub></td>
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<td>70.44</td>
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| 130 |
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<td>79.01</td>
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| 131 |
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<td>83.50</td>
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| 132 |
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<td>130</td>
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</tr>
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<tr>
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<td>XLM-R<sub>large</sub></td>
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<td>70.97</td>
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<td>78.91</td>
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<td>83.50</td>
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<td>132</td>
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</tr>
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<tr>
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<td>Ernie-M<sub>large</sub></td>
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<td>70.21</td>
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<td>78.29</td>
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<td>83.50</td>
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<td>141</td>
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</tr>
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<tr>
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<td rowspan="3">SBert</td>
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<td>InfoXLM<sub>large</sub></td>
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<td>74.99</td>
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<td>81.59</td>
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<td>89.72</td>
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<td>195</td>
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</tr>
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<tr>
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<td>XLM-R<sub>large</sub></td>
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<td>75.80</td>
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<td>82.35</td>
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<td>89.72</td>
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<td>194</td>
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</tr>
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<tr>
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<td>Ernie-M<sub>large</sub></td>
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<td>75.13</td>
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<td>81.44</td>
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<td>89.72</td>
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<td>203</td>
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</tr>
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<tr>
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<th colspan="1">QA-based approaches</th>
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<th colspan="1">VC</th>
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<th colspan="4"></th>
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</tr>
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<tr>
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<td rowspan="3">ViMRC<sub>large</sub></td>
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<td>InfoXLM<sub>large</sub></td>
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<td>77.28</td>
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| 179 |
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<td>81.97</td>
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| 180 |
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<td>92.49</td>
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<td>3778</td>
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</tr>
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| 183 |
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<tr>
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| 184 |
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<td>XLM-R<sub>large</sub></td>
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<td>78.29</td>
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<td>82.83</td>
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<td>92.49</td>
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<td>3824</td>
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</tr>
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<tr>
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<td>Ernie-M<sub>large</sub></td>
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| 192 |
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<td>77.38</td>
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<td>81.92</td>
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<td>92.49</td>
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| 195 |
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<td>3785</td>
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</tr>
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| 197 |
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<tr>
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| 198 |
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<td rowspan="3">InfoXLM<sub>large</sub></td>
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| 199 |
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<td>InfoXLM<sub>large</sub></td>
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| 200 |
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<td>78.14</td>
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| 201 |
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<td>82.07</td>
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| 202 |
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<td>93.45</td>
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| 203 |
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<td>4092</td>
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</tr>
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| 205 |
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<tr>
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<td>XLM-R<sub>large</sub></td>
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| 207 |
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<td>79.20</td>
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| 208 |
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<td>83.07</td>
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| 209 |
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<td>93.45</td>
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<td>4096</td>
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</tr>
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<tr>
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<td>Ernie-M<sub>large</sub></td>
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| 214 |
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<td>78.24</td>
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<td>82.21</td>
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<td>93.45</td>
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<td>4102</td>
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</tr>
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<tr>
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<th colspan="2">LLM</th>
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<th colspan="4"></th>
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</tr>
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<tr>
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<td colspan="2">Qwen2.5-1.5B-Instruct</td>
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<td>51.03</td>
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<td>65.18</td>
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<td>78.96</td>
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<td>7665</td>
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</tr>
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<tr>
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<td colspan="2">Qwen2.5-3B-Instruct</td>
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<td>44.38</td>
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<td>62.31</td>
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| 234 |
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<td>71.35</td>
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<td>12123</td>
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</tr>
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<tr>
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<th colspan="1">LLM</th>
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<th colspan="1">VC</th>
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<th colspan="4"></th>
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</tr>
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<tr>
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<td rowspan="3">Qwen2.5-1.5B-Instruct</td>
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<td>InfoXLM<sub>large</sub></td>
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<td>66.14</td>
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<td>76.47</td>
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| 247 |
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<td>78.96</td>
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<td>7788</td>
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</tr>
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<tr>
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<td>XLM-R<sub>large</sub></td>
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<td>67.67</td>
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<td>78.10</td>
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<td>78.96</td>
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| 255 |
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<td>7789</td>
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</tr>
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| 257 |
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<tr>
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| 258 |
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<td>Ernie-M<sub>large</sub></td>
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| 259 |
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<td>66.52</td>
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<td>76.52</td>
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<td>78.96</td>
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<td>7794</td>
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</tr>
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<tr>
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<td rowspan="3">Qwen2.5-3B-Instruct</td>
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<td>InfoXLM<sub>large</sub></td>
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| 267 |
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<td>59.88</td>
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<td>72.50</td>
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| 269 |
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<td>71.35</td>
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| 270 |
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<td>12246</td>
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</tr>
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| 272 |
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<tr>
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| 273 |
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<td>XLM-R<sub>large</sub></td>
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| 274 |
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<td>60.74</td>
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<td>73.08</td>
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| 276 |
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<td>71.35</td>
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| 277 |
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<td>12246</td>
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| 278 |
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</tr>
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| 279 |
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<tr>
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| 280 |
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<td>Ernie-M<sub>large</sub></td>
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| 281 |
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<td>60.02</td>
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| 282 |
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<td>72.21</td>
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| 283 |
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<td>71.35</td>
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| 284 |
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<td>12251</td>
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| 285 |
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</tr>
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| 286 |
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<tr>
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| 287 |
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<th colspan="1">SER Faster (ours)</th>
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| 288 |
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<th colspan="1">TVC (ours)</th>
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| 289 |
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<th colspan="4"></th>
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| 290 |
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</tr>
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| 291 |
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<tr>
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| 292 |
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<td>TF-IDF + ViMRC<sub>large</sub></td>
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| 293 |
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<td>Ernie-M<sub>large</sub></td>
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| 294 |
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<td style="color:blue">79.44</td>
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| 295 |
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<td style="color:blue">82.93</td>
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| 296 |
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<td style="color:blue">94.60</td>
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<td style="color:blue">410</td>
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</tr>
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| 299 |
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<tr>
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| 300 |
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<td>TF-IDF + InfoXLM<sub>large</sub></td>
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| 301 |
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<td>Ernie-M<sub>large</sub></td>
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| 302 |
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<td style="color:blue">79.77</td>
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| 303 |
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<td style="color:blue">83.07</td>
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| 304 |
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<td style="color:blue">95.03</td>
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| 305 |
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<td style="color:blue">487</td>
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| 306 |
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</tr>
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| 307 |
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<tr>
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<th colspan="1">SER (ours)</th>
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| 309 |
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<th colspan="1">TVC (ours)</th>
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| 310 |
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<th colspan="4"></th>
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| 311 |
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</tr>
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| 312 |
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<tr>
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<td rowspan="3">TF-IDF + ViMRC<sub>large</sub></td>
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| 314 |
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<td>InfoXLM<sub>large</sub></td>
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| 315 |
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<td>80.25</td>
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| 316 |
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<td>83.84</td>
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| 317 |
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<td>94.69</td>
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<td>2731</td>
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</tr>
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<tr>
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<td>XLM-R<sub>large</sub></td>
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<td>80.34</td>
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<td>83.64</td>
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| 324 |
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<td>94.69</td>
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<td>2733</td>
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</tr>
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| 327 |
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<tr>
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<td>Ernie-M<sub>large</sub></td>
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| 329 |
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<td>79.53</td>
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| 330 |
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<td>82.97</td>
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| 331 |
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<td>94.69</td>
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<td>2733</td>
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</tr>
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<tr>
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<td rowspan="3">TF-IDF + InfoXLM<sub>large</sub></td>
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| 336 |
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<td>InfoXLM<sub>large</sub></td>
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| 337 |
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<td>80.68</td>
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| 338 |
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<td><strong>83.98</strong></td>
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| 339 |
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<td><strong>95.31</strong></td>
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| 340 |
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<td>3860</td>
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</tr>
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<tr>
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<td>XLM-R<sub>large</sub></td>
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<td><strong>80.82</strong></td>
|
| 345 |
+
<td>83.88</td>
|
| 346 |
+
<td><strong>95.31</strong></td>
|
| 347 |
+
<td>3843</td>
|
| 348 |
+
</tr>
|
| 349 |
+
<tr>
|
| 350 |
+
<td>Ernie-M<sub>large</sub></td>
|
| 351 |
+
<td>80.06</td>
|
| 352 |
+
<td>83.17</td>
|
| 353 |
+
<td><strong>95.31</strong></td>
|
| 354 |
+
<td>3891</td>
|
| 355 |
+
</tr>
|
| 356 |
+
</tbody>
|
| 357 |
+
</table>
|
| 358 |
+
|
| 359 |
**SemViQA-QATC** plays a crucial role in the **SemViQA** system by enhancing accuracy in evidence extraction. When integrated into a pipeline, this model helps determine whether a claim is supported or refuted based on retrieved evidence.
|
| 360 |
|
| 361 |
## **Citation**
|