Commit ·
2cbb516
1
Parent(s): 84bb258
Add anti-fraud as a separate leaderboard metric
Browse files
README.md
CHANGED
|
@@ -221,53 +221,55 @@ Each line in `metadata.jsonl` contains one JSON object:
|
|
| 221 |
|
| 222 |
Top models evaluated on this validation dataset:
|
| 223 |
|
| 224 |
-
|
| 225 |
-
|
| 226 |
-
|
|
| 227 |
-
|
|
| 228 |
-
|
|
| 229 |
-
| GPT-5.6
|
| 230 |
-
| Kimi
|
| 231 |
-
|
|
| 232 |
-
|
|
| 233 |
-
|
|
| 234 |
-
|
|
| 235 |
-
|
|
| 236 |
-
|
|
| 237 |
-
|
|
| 238 |
-
|
|
| 239 |
-
|
|
| 240 |
-
|
|
| 241 |
-
|
|
| 242 |
-
|
|
| 243 |
-
|
|
| 244 |
-
|
|
| 245 |
-
| Gemini
|
| 246 |
-
| Gemini-
|
| 247 |
-
|
|
| 248 |
-
|
|
| 249 |
-
| Claude-4.5-
|
| 250 |
-
|
|
| 251 |
-
|
|
| 252 |
-
| GPT-
|
| 253 |
-
|
|
| 254 |
-
|
|
| 255 |
-
|
|
| 256 |
-
|
|
| 257 |
-
|
|
| 258 |
-
| Qwen3-
|
| 259 |
-
|
|
| 260 |
-
|
|
| 261 |
-
|
|
| 262 |
-
|
|
| 263 |
-
| Qwen3-
|
| 264 |
-
|
|
| 265 |
-
|
|
| 266 |
-
|
|
| 267 |
-
|
|
| 268 |
-
|
|
| 269 |
-
|
|
| 270 |
-
| Qwen3
|
|
|
|
|
|
|
| 271 |
|
| 272 |
*Scale: 0.0 - 1.0 (higher is better)*
|
| 273 |
|
|
|
|
| 221 |
|
| 222 |
Top models evaluated on this validation dataset:
|
| 223 |
|
| 224 |
+
`Overall` is the mean of the five original categories. `Anti-fraud` is reported separately and is not included in `Overall`. `—` means that no official anti-fraud evaluation is available.
|
| 225 |
+
|
| 226 |
+
| Model | Overall | img→text | img→markdown | Grounding | KIE (JSON) | VQA | Anti-fraud |
|
| 227 |
+
|-------|---------|----------|--------------|-----------|------------|-----|------------|
|
| 228 |
+
| Claude Fable 5 | 0.799 | 0.828 | 0.737 | 0.635 | 0.843 | 0.950 | — |
|
| 229 |
+
| GPT-5.6 Sol | 0.790 | 0.818 | 0.716 | 0.621 | 0.867 | 0.926 | 0.467 |
|
| 230 |
+
| Kimi K3 | 0.777 | 0.783 | 0.716 | 0.588 | 0.856 | 0.941 | — |
|
| 231 |
+
| GPT-5.6 Terra | 0.749 | 0.808 | 0.693 | 0.571 | 0.799 | 0.874 | 0.404 |
|
| 232 |
+
| Kimi K2.6 | 0.743 | 0.868 | 0.761 | 0.301 | 0.858 | 0.929 | 0.279 |
|
| 233 |
+
| Cotype Pro 3 | 0.736 | 0.861 | 0.747 | 0.384 | 0.832 | 0.858 | 0.233 |
|
| 234 |
+
| Claude Sonnet 5 | 0.731 | 0.842 | 0.729 | 0.370 | 0.788 | 0.924 | 0.391 |
|
| 235 |
+
| GPT-5.6 Luna | 0.727 | 0.776 | 0.673 | 0.547 | 0.772 | 0.864 | 0.302 |
|
| 236 |
+
| Qwen 3.7 Plus | 0.708 | 0.843 | 0.766 | 0.154 | 0.844 | 0.935 | 0.250 |
|
| 237 |
+
| Claude-4.6-Opus | 0.704 | 0.841 | 0.748 | 0.168 | 0.852 | 0.908 | 0.385 |
|
| 238 |
+
| Qwen3.6-35B-A3B | 0.694 | 0.859 | 0.784 | 0.099 | 0.822 | 0.904 | 0.232 |
|
| 239 |
+
| Qwen3.6-27B | 0.691 | 0.863 | 0.768 | 0.071 | 0.833 | 0.919 | 0.195 |
|
| 240 |
+
| Gemini-2.5-pro | 0.690 | 0.840 | 0.717 | 0.070 | 0.888 | 0.935 | 0.088 |
|
| 241 |
+
| Kimi K2 Instruct | 0.686 | 0.874 | 0.726 | 0.148 | 0.805 | 0.876 | 0.331 |
|
| 242 |
+
| Cotype Light 3 | 0.685 | 0.855 | 0.770 | 0.125 | 0.873 | 0.799 | 0.318 |
|
| 243 |
+
| GPT-5.4 | 0.683 | 0.764 | 0.627 | 0.351 | 0.826 | 0.846 | — |
|
| 244 |
+
| Claude Sonnet 4.6 | 0.682 | 0.827 | 0.725 | 0.186 | 0.755 | 0.915 | 0.235 |
|
| 245 |
+
| Gemini-3-flash-preview | 0.681 | 0.836 | 0.724 | 0.051 | 0.845 | 0.950 | 0.153 |
|
| 246 |
+
| Gemini-3.1-flash-lite-preview | 0.674 | 0.846 | 0.741 | 0.047 | 0.813 | 0.923 | 0.217 |
|
| 247 |
+
| Gemini 3.5 Flash | 0.674 | 0.773 | 0.727 | 0.052 | 0.869 | 0.948 | 0.216 |
|
| 248 |
+
| Gemini-2.5-flash | 0.672 | 0.886 | 0.729 | 0.042 | 0.825 | 0.879 | 0.137 |
|
| 249 |
+
| Claude-4.5-Opus | 0.670 | 0.809 | 0.720 | 0.131 | 0.799 | 0.889 | 0.308 |
|
| 250 |
+
| Qwen3.5-35B-A3B | 0.670 | 0.806 | 0.711 | 0.072 | 0.853 | 0.910 | 0.142 |
|
| 251 |
+
| Claude-4.5-Sonnet | 0.669 | 0.741 | 0.660 | 0.459 | 0.727 | 0.759 | 0.280 |
|
| 252 |
+
| GPT-5.2 | 0.663 | 0.799 | 0.656 | 0.173 | 0.855 | 0.835 | 0.413 |
|
| 253 |
+
| Alice AI VLM dev | 0.662 | 0.881 | 0.777 | 0.063 | 0.747 | 0.841 | 0.046 |
|
| 254 |
+
| GPT-4.1-mini | 0.659 | 0.863 | 0.735 | 0.093 | 0.750 | 0.853 | 0.173 |
|
| 255 |
+
| Qwen3.5-27B | 0.658 | 0.773 | 0.699 | 0.078 | 0.856 | 0.882 | 0.188 |
|
| 256 |
+
| Cotype VL (32B 8 bit) | 0.649 | 0.802 | 0.754 | 0.267 | 0.683 | 0.737 | 0.078 |
|
| 257 |
+
| GPT-5-mini | 0.639 | 0.782 | 0.678 | 0.117 | 0.774 | 0.843 | 0.233 |
|
| 258 |
+
| Qwen3.5-9B | 0.625 | 0.766 | 0.649 | 0.075 | 0.782 | 0.852 | 0.178 |
|
| 259 |
+
| Gemma 4 31B IT | 0.624 | 0.734 | 0.732 | 0.054 | 0.769 | 0.829 | 0.119 |
|
| 260 |
+
| Qwen3-VL-235B-A22B-Instruct | 0.623 | 0.812 | 0.668 | 0.050 | 0.755 | 0.830 | 0.171 |
|
| 261 |
+
| Qwen2.5-VL-72B-Instruct | 0.621 | 0.847 | 0.706 | 0.173 | 0.615 | 0.765 | 0.091 |
|
| 262 |
+
| GLM-5V Turbo | 0.601 | 0.682 | 0.759 | 0.044 | 0.726 | 0.793 | 0.183 |
|
| 263 |
+
| Qwen3.5-4B | 0.599 | 0.733 | 0.616 | 0.061 | 0.776 | 0.809 | 0.100 |
|
| 264 |
+
| GPT-5.1 | 0.588 | 0.716 | 0.680 | 0.092 | 0.670 | 0.783 | 0.096 |
|
| 265 |
+
| Qwen3-VL-8B-Instruct | 0.584 | 0.780 | 0.700 | 0.084 | 0.592 | 0.766 | 0.196 |
|
| 266 |
+
| Qwen3-VL-32B-Instruct | 0.582 | 0.730 | 0.631 | 0.056 | 0.708 | 0.784 | 0.298 |
|
| 267 |
+
| GPT-4.1 | 0.574 | 0.692 | 0.681 | 0.093 | 0.624 | 0.779 | 0.131 |
|
| 268 |
+
| Mistral Large 3 2512 | 0.565 | 0.777 | 0.713 | 0.065 | 0.560 | 0.709 | 0.215 |
|
| 269 |
+
| Mistral Small 3.2 24B Instruct | 0.561 | 0.734 | 0.695 | 0.060 | 0.599 | 0.715 | 0.122 |
|
| 270 |
+
| Qwen3-VL-4B-Instruct | 0.515 | 0.699 | 0.702 | 0.061 | 0.506 | 0.607 | — |
|
| 271 |
+
| Qwen3.5-2B | 0.489 | 0.743 | 0.621 | 0.041 | 0.466 | 0.574 | 0.277 |
|
| 272 |
+
| Qwen3.5-0.8B | 0.319 | 0.549 | 0.499 | 0.027 | 0.157 | 0.362 | 0.185 |
|
| 273 |
|
| 274 |
*Scale: 0.0 - 1.0 (higher is better)*
|
| 275 |
|