update mertic

README.md

@@ -47,14 +47,16 @@ tags:
 ## News
 
 <!-- news:start -->
+
+- **2026-10-23:** Added evaluation results for Ki-OCR.
 - **2026-10-12:** Added evaluation results for Xiaomi-OCR-0.
 - **2026-09-12:** Added evaluation results for GLM-5.3-Flash.
-- **2026-08-27:** Added evaluation results for TeleOCR.
 
 
 <details>
 <summary><strong>Earlier updates</strong></summary>
 
+- **2026-08-27:** Added evaluation results for TeleOCR.
 - **2026-08-08:** Added evaluation results for Kimi-K2.5、Kimi-K2.6、Doubao-Seed-2.1-Pro、MonkeyOCRv2-S-Parsing、MonkeyOCRv2-B-Parsing and OvisOCR2.
 - **2026-06-18:** Real5-OmniDocBench was accepted to ECCV 2026. 🎉
 - **2026-05-28:** Added evaluation results for PaddleOCR-VL-1.6 and MinerU2.5-Pro.
@@ -92,6 +94,7 @@ Higher is better for ↑ metrics and lower is better for ↓ metrics. Best resul
 | MonkeyOCRv2-S-Parsing | Specialized VLMs | 0.6B | 87.90 | 88.87 | 88.17 | 87.64 | 86.75 | 88.09 |
 | Qwen2.5-VL-72B | General VLMs | 72B | 86.92 | 86.19 | 87.77 | 86.48 | 87.25 | 86.90 |
 | dots.ocr | Specialized VLMs | 3B | 86.38 | 86.87 | 86.01 | 87.18 | 87.57 | 84.27 |
+| Ki-OCR | Specialized VLMs | 1.2B | 85.95 | 93.06 | 82.89 | 89.23 | 91.03 | 73.54 |
 | MinerU2.5 | Specialized VLMs | 1.2B | 85.61 | 90.06 | 83.76 | 89.41 | 89.57 | 75.24 |
 | PaddleOCR-VL | Specialized VLMs | 0.9B | 85.54 | 92.11 | 85.97 | 82.54 | 89.61 | 77.47 |
 | Nanonets-OCR-s | Specialized VLMs | 3B | 84.19 | 85.52 | 83.56 | 84.86 | 85.01 | 81.98 |
@@ -117,11 +120,12 @@ Higher is better for ↑ metrics and lower is better for ↓ metrics. Best resul
 | Methods | Model Type | Parameters | Overall↑ | Text<sup>Edit</sup>↓ | Formula<sup>CDM</sup>↑ | Table<sup>TEDS</sup>↑ | Reading Order<sup>Edit</sup>↓ |
 | --- | --- | :---: | :---: | :---: | :---: | :---: | :---: |
 | **PaddleOCR-VL-1.6** | Specialized VLMs | 0.9B | **94.74** | **0.035** | **93.65** | **94.12** | 0.042 |
-| <u>OvisOCR2</u> | Specialized VLMs | 0.9B | <u>93.77</u> | 0.041 | 92.13 | 93.30 | **0.039** |
-| Xiaomi-OCR-0 | Specialized VLMs | 0.8B | 93.73 | 0.037 | 90.90 | <u>94.01</u> | 0.041 |
+| <u>OvisOCR2</u> | Specialized VLMs | 0.9B | <u>93.77</u> | 0.041 | 92.13 | 93.30 | <u>0.039</u> |
+| Xiaomi-OCR-0 | Specialized VLMs | 0.8B | 93.73 | 0.037 | 90.90 | 94.01 | 0.041 |
 | PaddleOCR-VL-1.5 | Specialized VLMs | 0.9B | 93.43 | <u>0.037</u> | <u>93.04</u> | 90.97 | 0.045 |
+| Ki-OCR | Specialized VLMs | 1.2B | 93.06 | 0.042 | 89.33 | <u>94.04</u> | **0.037** |
 | GLM-OCR | Specialized VLMs | 0.9B | 92.67 | 0.054 | 91.10 | 92.28 | 0.061 |
-| TeleOCR | Specialized VLMs | 1.2B | 92.33 | 0.045 | 88.26 | 93.26 | <u>0.039</u> |
+| TeleOCR | Specialized VLMs | 1.2B | 92.33 | 0.045 | 88.26 | 93.26 | 0.039 |
 | PaddleOCR-VL | Specialized VLMs | 0.9B | 92.11 | 0.039 | 90.35 | 89.90 | 0.048 |
 | MinerU2.5-pro | Specialized VLMs | 1.2B | 92.11 | 0.040 | 89.77 | 90.57 | 0.043 |
 | GLM-5.3-Flash | General VLMs | 321B | 91.43 | 0.056 | 89.46 | 90.44 | 0.056 |
@@ -176,6 +180,7 @@ Higher is better for ↑ metrics and lower is better for ↓ metrics. Best resul
 | PaddleOCR-VL | Specialized VLMs | 0.9B | 85.97 | 0.093 | 85.45 | 81.77 | 0.092 |
 | MinerU2.5 | Specialized VLMs | 1.2B | 83.76 | 0.154 | 85.92 | 80.71 | 0.104 |
 | Nanonets-OCR-s | Specialized VLMs | 3B | 83.56 | 0.121 | 86.24 | 76.57 | 0.124 |
+| Ki-OCR | Specialized VLMs | 1.2B | 82.89 | 0.173 | 84.57 | 81.39 | 0.085 |
 | MonkeyOCR-pro-3B | Specialized VLMs | 3.7B | 78.90 | 0.168 | 79.55 | 73.94 | 0.212 |
 | MonkeyOCR-3B | Specialized VLMs | 3.7B | 77.27 | 0.164 | 79.08 | 69.18 | 0.211 |
 | MonkeyOCR-pro-1.2B | Specialized VLMs | 1.9B | 76.59 | 0.196 | 78.85 | 70.52 | 0.221 |
@@ -204,6 +209,7 @@ Higher is better for ↑ metrics and lower is better for ↓ metrics. Best resul
 | Kimi-K2.6 | General VLMs | 1.1T | 89.58 | 0.073 | 90.10 | 85.49 | 0.077 |
 | MinerU2.5 | Specialized VLMs | 1.2B | 89.41 | 0.062 | 87.55 | 86.83 | 0.053 |
 | Qwen3-VL-235B | General VLMs | 235B | 89.27 | 0.068 | 88.72 | 85.85 | 0.071 |
+| Ki-OCR | Specialized VLMs | 1.2B | 89.23 | 0.076 | 86.48 | 88.80 | 0.058 |
 | TeleOCR | Specialized VLMs | 1.2B | 89.09 | 0.078 | 85.80 | 89.30 | 0.057 |
 | Doubao-Seed-2.1-Pro | General VLMs | - | 88.99 | 0.098 | 87.47 | 89.31 | 0.102 |
 | Gemini-3 Pro | General VLMs | - | 88.86 | 0.084 | 87.33 | 87.65 | 0.087 |
@@ -240,6 +246,7 @@ Higher is better for ↑ metrics and lower is better for ↓ metrics. Best resul
 | GLM-5.3-Flash | General VLMs | 321B | 91.40 | 0.067 | 89.30 | 90.12 | 0.065 |
 | MinerU2.5-pro | Specialized VLMs | 1.2B | 91.31 | 0.050 | 88.15 | 90.76 | 0.052 |
 | GLM-OCR | Specialized VLMs | 0.9B | 91.12 | 0.059 | 91.02 | 88.20 | 0.071 |
+| Ki-OCR | Specialized VLMs | 1.2B | 91.03 | 0.059 | 88.61 | 90.36 | 0.046 |
 | TeleOCR | Specialized VLMs | 1.2B | 90.90 | 0.055 | 87.27 | 90.91 | <u>0.045</u> |
 | Kimi-K2.6 | General VLMs | 1.1T | 89.91 | 0.062 | 89.76 | 86.20 | 0.072 |
 | Kimi-K2.5 | General VLMs | 1.1T | 89.66 | 0.064 | 89.83 | 85.53 | 0.077 |
@@ -294,6 +301,7 @@ Higher is better for ↑ metrics and lower is better for ↓ metrics. Best resul
 | PaddleOCR-VL | Specialized VLMs | 0.9B | 77.47 | 0.192 | 78.81 | 72.83 | 0.193 |
 | MinerU2.5 | Specialized VLMs | 1.2B | 75.24 | 0.305 | 81.78 | 74.39 | 0.151 |
 | GPT-5.2 | General VLMs | - | 75.00 | 0.257 | 80.27 | 70.47 | 0.167 |
+| Ki-OCR | Specialized VLMs | 1.2B | 73.54 | 0.349 | 79.04 | 76.51 | 0.121 |
 | MinerU2-VLM | Specialized VLMs | 0.9B | 68.16 | 0.230 | 74.45 | 53.07 | 0.191 |
 | MonkeyOCR-3B | Specialized VLMs | 3.7B | 65.67 | 0.248 | 69.23 | 52.59 | 0.300 |
 | MonkeyOCR-pro-3B | Specialized VLMs | 3.7B | 64.47 | 0.251 | 69.06 | 49.42 | 0.301 |