Update README.md

README.md

@@ -28,9 +28,10 @@ language:
 In addition to the 14B full-scale model, a lightweight 1.7B version is available for on-device use, making it accessible on personal devices such as smartphones and PCs. VARCO-VISION-2.0 is a powerful open-source AI model built for Korean users and is freely available for a wide range of applications.
 
 ## 🚨News🎙️
+- 🛠️ 2025-08-22: We updated the checkpoint of VARCO-VISION-2.0-1.7B for improved performance.
 - 📰 2025-07-28: We released VARCO-VISION-2.0-1.7B-OCR at [link](https://huggingface.co/NCSOFT/VARCO-VISION-2.0-1.7B-OCR)
 - 📰 2025-07-28: We released VARCO-VISION-2.0-1.7B at [link](https://huggingface.co/NCSOFT/VARCO-VISION-2.0-1.7B)
-- 📰 2025-07-18: We updated the checkpoint of VARCO-VISION-2.0-14B for improved performance.
+- 🛠️ 2025-07-18: We updated the checkpoint of VARCO-VISION-2.0-14B for improved performance.
 - 📰 2025-07-16: We released VARCO-VISION-2.0-14B at [link](https://huggingface.co/NCSOFT/VARCO-VISION-2.0-14B)
 - 📰 2025-07-16: We released GME-VARCO-VISION-Embedding at [link](https://huggingface.co/NCSOFT/GME-VARCO-VISION-Embedding)
 
@@ -72,13 +73,13 @@ Please note that for certain benchmarks involving LLM-based evaluation (e.g., LL
 ### English Benchmark
 | Benchmark       | InternVL3-14B | Ovis2-16B | Qwen2.5-VL-7B | A.X 4.0 VL Light | VARCO-VISION-2.0-14B |
 | :-------------: | :-----------: | :-------: | :-----------: | :--------------: | :------------------: |
-| MMStar          | **68.9**      | *67.2*    | 64.1          | 56.8             | 66.5                 |
-| MMMU_VAL        | **64.8**      | 60.7      | 58.0          | 54.1             | *61.8*               |
-| MathVista       | **74.4**      | *73.7*    | 68.1          | 62.4             | 73.3                 |
+| MMStar          | **68.9**      | *67.2*    | 64.1          | 56.8             | 66.9                 |
+| MMMU_VAL        | **64.8**      | 60.7      | 58.0          | 54.1             | *61.9*               |
+| MathVista       | **74.4**      | *73.7*    | 68.1          | 62.4             | 73.2                 |
 | OCRBench        | 87.7          | *87.9*    | **88.8**      | 73.8             | 86.9                 |
-| AI2D            | *86.0*        | **86.3**  | 84.3          | 81.0             | 85.8                 |
-| HallusionBench  | *55.9*        | **56.8**  | 51.9          | 54.2             | 53.7                 |
-| MMVet           | **80.5**      | 68.4      | *69.7*        | 59.4             | 69.4                 |
+| AI2D            | *86.0*        | **86.3**  | 84.3          | 81.0             | 85.7                 |
+| HallusionBench  | *55.9*        | **56.8**  | 51.9          | 54.2             | 53.2                 |
+| MMVet           | **80.5**      | 68.4      | *69.7*        | 59.4             | 68.9                 |
 | SEEDBench_IMG   | 77.5          | *77.7*    | 77.0          | 76.7             | **78.0**             |
 | LLaVABench      | 84.4          | **93.0**  | *91.0*        | 83.2             | 90.2                 |
 | RealWorldQA     | 69.8          | *74.1*    | 68.4          | 63.4             | **74.6**             |
@@ -269,4 +270,4 @@ generate_ids_trimmed = [
 output = processor.decode(generate_ids_trimmed[0], skip_special_tokens=False)
 print(output)
 ```
-</details>
+</details>