Update README.md

README.md

@@ -114,6 +114,44 @@ Here are the results on 3 downstream tasks on Vietnamese social media texts, inc
     </div>
 </table>
 
+Visocial-T5-base versus other T5-based models in terms of Vietnamese HSD-related task performance with Macro F1-score:
+
+<table border="1" cellspacing="0" cellpadding="5">
+    <tr align="center">
+        <td rowspan=2><b>Model</b></td>
+        <td colspan=3><b>MF1</b></td>
+    </tr>
+    <tr align="center">
+        <td><b>Hate Speech Detection</b></td>
+        <td><b>Toxic Speech Detection</b></td>
+        <td><b>Hate Spans Detection</b></td>
+    </tr>
+    <tr align="center">
+        <td align="left">mT5[1]</td>
+        <td>66.76</td>
+        <td>69.93</td>
+        <td>86.60</td>
+    </tr>
+    <tr align="center">
+        <td align="left">ViT5[8]</td>
+        <td>66.95</td>
+        <td>64.82</td>
+        <td>86.90</td>
+    </tr>
+    <tr align="center">
+        <td align="left">ViHateT5[7]</td>
+        <td>68.67</td>
+        <td>71.63</td>
+        <td>86.37</td>
+    </tr>
+    <tr align="center">
+        <td align="left"><b>visocial-T5-base(Ours)</td>
+        <td><b>71.90</td>
+        <td><b>73.81</td>
+        <td><b>89.04</td>
+    </tr>
+</table>
+
 <!-- ## Usage (HuggingFace Transformers)
 
 Install `transformers` package:
@@ -157,4 +195,6 @@ We fine-tune `5CD-AI/visocial-T5-base` on 3 downstream tasks with `transformers`
 
 [6] [ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing](https://aclanthology.org/2023.emnlp-main.315/)
 
-[7] [ViHateT5: Enhancing Hate Speech Detection in Vietnamese With A Unified Text-to-Text Transformer Model](https://arxiv.org/abs/2405.14141)
+[7] [ViHateT5: Enhancing Hate Speech Detection in Vietnamese With A Unified Text-to-Text Transformer Model](https://arxiv.org/abs/2405.14141)
+
+[8] [ViT5: Pretrained Text-to-Text Transformer for Vietnamese Language Generation](https://aclanthology.org/2022.naacl-srw.18/)