Update README.md

README.md

@@ -61,31 +61,71 @@ This benchmark challenges visual-language models on their foundational knowledge
 The benchmark is released in both English and Chinese versions.
 
 
+## 🧮 Benchmark Evaluation
+
+This benchmark evaluates model performance on multiple-choice question answering (MCQ) tasks.
+
+We provide two versions of the prompt template, depending on the language setting.
+
+** English Prompt **
+```
+Question: {question}
+Choices:
+A. {choice_A}
+B. {choice_B}
+C. {choice_C}
+D. {choice_D}
+Based on the image and the question, choose the most appropriate answer.
+**Only output a single letter (A, B, C, or D)**. Do NOT output any other text or explanation.
+```
+
+** Chinese Prompt **
+```
+问题: {question}
+选项:
+A. {choice_A}
+B. {choice_B}
+C. {choice_C}
+D. {choice_D}
+
+请根据图像和问题，从以上四个选项中选择最合适的答案。
+只输出单个字母 (A, B, C 或 D)，不要输出选项内容，也不要输出任何解释。
+```
+
+** Evaluation Protocol **
+If the model’s output is not one of A, B, C, or D, we use GPT-4o to map the output to A–D based on the option content. 
+The final evaluation reports the absolute accuracy of the benchmark in both English and Chinese versions.
+
+
 ## 📊 Benchmark Leaderboard
 
 We evaluated several of the latest popular MLLMs, including both closed-source and open-source models.
 
-|  Moldel   | Weight | UpdateTime | RxnBench-En  | RxnBench-Zh |
-|  ---- |:----:|:----:|:----:|:----:| 
-| Gemini-2.5-Pro | Proprietary | 20250617 | 0.9095 | **0.9423** |
-| Seed1.5-VL-Think | Proprietary | 20250428 | 0.9056 | 0.9161 |
-| GPT-5-mini | Proprietary | 20250807 | **0.9108** | 0.9128 |
-| GPT o3 | Proprietary | 20250416 | 0.9056 | 0.9115 |
-| GPT o4 mini | Proprietary | 20250416  | 0.9062 | 0.9075 |
-| Seed1.5-VL | Proprietary | 20250328 | 0.8518 | 0.8669 |
-| Gemini-2.5-Flash | Proprietary | 20250617 | 0.6925 | 0.8557 |
-| GLM-4.1V-9B-Thinking | Open | - | 0.8392 | Doing |
-| Qwen2.5-VL-72B | Open | - | 0.8341 | 0.8308 |
-| Qwen2.5-VL-Max | Proprietary | 20250813 | 0.8192 | 0.8262 |
-| GPT-5-nano | Proprietary | 20250807 | 0.7980 | 0.7941 |
-| Qwen2.5-VL-32B | Open | - | 0.7980 | 0.7908 |
-| GPT-4o | Proprietary | 20240806  | 0.7462 | 0.7436 |
-| Qwen2.5-VL-7b | Open | - | 0.7082 | 0.7233 |
-| Qwen2.5-VL-3b | Open | - | 0.6748 | 0.6643 |
-| GPT-4o mini | Proprietary | 20240718  | 0.6636 | 0.6066 |
-| Deepseek-VL2 | Open | - | 0.4426 | 0.4216 |
-| *Choice longest answer* | - | -| 0.4262 | 0.4525 |
-| *Random* | - | - | 0.2500 | 0.2500 |
+|  Moldel   | Weight | UpdateTime | RxnBench-En  | RxnBench-Zh | Mean Score |
+|  ---- |:----:|:----:|:----:|:----:|:----:| 
+| GPT-5 (high) | Proprietary | 20250807 | **0.9279** | 0.9246 | **0.9263** |
+| Gemini-2.5-Pro | Proprietary | 20250617 | 0.9095 | **0.9423** | 0.9259 |
+| GPT-5-mini | Proprietary | 20250807 | 0.9108 | 0.9128 | 0.9118 |
+| Seed1.5-VL-Think | Proprietary | 20250428 | 0.9056 | 0.9161 | 0.9109 |
+| GPT o3 | Proprietary | 20250416 | 0.9056 | 0.9115 | 0.9086 |
+| GPT o4 mini | Proprietary | 20250416  | 0.9062 | 0.9075 | 0.9069 |
+| InternVL3.5-241B-A28B | Open | - | 0.9003 | 0.9062 | 0.9033 |
+| Seed1.5-VL | Proprietary | 20250328 | 0.8518 | 0.8669 | 0.8594 |
+| InternVL3-78b | Open | - | 0.8531 | 0.8308 | 0.8420 |
+| Intern-S1-mini | Open | - | 0.8521 | 0.8282 | 0.8402 |
+| GLM-4.1V-9B-Thinking | Open | - | 0.8392 | 0.8341 | 0.8367 |
+| Qwen2.5-VL-72B | Open | - | 0.8341 | 0.8308 | 0.8325 |
+| Qwen2.5-VL-Max | Proprietary | 20250813 | 0.8192 | 0.8262 | 0.8227 |
+| GPT-5-nano | Proprietary | 20250807 | 0.7980 | 0.7941 | 0.7961 |
+| Qwen2.5-VL-32B | Open | - | 0.7980 | 0.7908 | 0.7944 |
+| Gemini-2.5-Flash | Proprietary | 20250617 | 0.6925 | 0.8557 | 0.7741 |
+| GPT-4o | Proprietary | 20240806  | 0.7462 | 0.7436 | 0.7449 |
+| Qwen2.5-VL-7b | Open | - | 0.7082 | 0.7233 | 0.7158 |
+| Qwen2.5-VL-3b | Open | - | 0.6748 | 0.6643 | 0.6696 |
+| GPT-4o mini | Proprietary | 20240718  | 0.6636 | 0.6066 | 0.6351 |
+| *Choice longest answer* | - | -| 0.4262 | 0.4525 | 0.4394 |
+| Deepseek-VL2 | Open | - | 0.4426 | 0.4216 | 0.4321 |
+| *Random* | - | - | 0.2500 | 0.2500 |  0.2500 |
 
 
 ## 📖 Citation