Upload 34 files

Aria/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,86 @@
+{
+  "config_general": {
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+    "model_dtype": "float16",
+    "model_size": 0
+  },
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+      "Scene Text-centric VQA": 174,
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+    }
+  }
+}

Claude-3.5-Sonnet-20241022/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,270 @@
+{
+  "config_general": {
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+}

Claude3-Opus-20240229/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,101 @@
+{
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Doubao-Pro-Vision-32k-241028/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,265 @@
+{
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+}

GLM-4V-Plus/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,96 @@
+{
+  "config_general": {
+    "model_name": "GLM-4V-Plus",
+    "model_dtype": "float16",
+    "model_size": 0
+  },
+  "results": {
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+      "Handwriting Recognition": 32,
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+      "Visual Similarity": 82.22,
+      "acc_stderr": 0,
+      "acc": 55.44
+    }
+  }
+}

GPT-4o-20240806/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,96 @@
+{
+  "config_general": {
+    "model_name": "GPT-4o-20240806",
+    "model_dtype": "float16",
+    "model_size": 0
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+      "acc": 28.79
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+        "Society": 63.24,
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+      "acc": 59.22
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+      "Visual Correspondence": 87.65,
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+      "acc_stderr": 0,
+      "acc": 64.19
+    }
+  }
+}

GPT-4o-20241120/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,180 @@
+{
+  "config_general": {
+    "model_name": "GPT-4o-20241120",
+    "model_dtype": "float16",
+    "model_size": 0
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+      "acc": 60.4
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+      },
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+      "acc": 45.4
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+      },
+      "final_score": [
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+        995
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+        50
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+      "acc_stderr": 0,
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+    }
+  }
+}

GPT-4o-mini-20240718/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,91 @@
+{
+  "config_general": {
+    "model_name": "GPT-4o-mini-20240718",
+    "model_dtype": "float16",
+    "model_size": 0
+  },
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+      "accuracy": 39.44,
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+    },
+    "MMMU": {
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+      "Handwritten Mathematical Expression Recognition": 14,
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+    },
+    "Blink": {
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+      "acc_stderr": 0,
+      "acc": 54.87
+    }
+  }
+}

Gemini-1.5-Flash/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,91 @@
+{
+  "config_general": {
+    "model_name": "Gemini-1.5-Flash",
+    "model_dtype": "float16",
+    "model_size": 0
+  },
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+      "accuracy": 42.89,
+      "acc_stderr": 0,
+      "acc": 42.89
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+    "MMMU": {
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+      "accuracy": 33.02,
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+      "Scene Text-centric VQA": 172,
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+      "Key Information Extraction": 171,
+      "Handwritten Mathematical Expression Recognition": 24,
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+      "acc": 74.3
+    },
+    "MathVision": {
+      "accuracy": 21.15,
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+    },
+    "CII-Bench": {
+      "accuracy": 45.23,
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+        "Art": 51.47,
+        "CTC": 37.04,
+        "Society": 47.57,
+        "Env.": 51.85,
+        "Politics": 58.33
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+      "emotion_score": {
+        "Neutral": 45.49,
+        "Negative": 49.43,
+        "Positive": 40.17
+      },
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+    },
+    "Blink": {
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+      "Art Style": 73.5,
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+      "Forensic Detection": 47.73,
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+      "Object Localization": 60.66,
+      "Relative Depth": 68.55,
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+      "acc_stderr": 0,
+      "acc": 55.71
+    }
+  }
+}

Gemini-1.5-Pro/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,133 @@
+{
+  "config_general": {
+    "model_name": "Gemini-1.5-Pro",
+    "model_dtype": "float16",
+    "model_size": 0
+  },
+  "results": {
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+      "accuracy": 50.0,
+      "acc_stderr": 0,
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+    "MMMU": {
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+    "MMMU_Pro_standard": {
+      "accuracy": 47.8,
+      "subject_score": {
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+        "Design": 68.33,
+        "Literature": 75.0,
+        "Sociology": 55.56,
+        "Pharmacy": 47.37,
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+        "Clinical_Medicine": 32.2,
+        "Accounting": 58.62,
+        "Agriculture": 35.0,
+        "Public_Health": 58.62,
+        "Physics": 41.67,
+        "Art_Theory": 67.27,
+        "Energy_and_Power": 41.38,
+        "Psychology": 51.67,
+        "Architecture_and_Engineering": 36.67,
+        "Finance": 58.33,
+        "Manage": 40.0,
+        "Biology": 35.59,
+        "Diagnostics_and_Laboratory_Medicine": 36.67,
+        "Economics": 45.76,
+        "Basic_Medical_Science": 46.15,
+        "Mechanical_Engineering": 37.29,
+        "Electronics": 55.0,
+        "Computer_Science": 51.67,
+        "Math": 46.67,
+        "Music": 18.33,
+        "Materials": 21.67,
+        "Marketing": 57.63,
+        "Chemistry": 51.67,
+        "Geography": 44.23
+      },
+      "difficulty_score": {
+        "Medium": 43.57,
+        "Hard": 38.15,
+        "Easy": 61.55
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+      "acc_stderr": 0,
+      "acc": 47.8
+    },
+    "MMMU_Pro_vision": {
+      "reject_info": {
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+        "reject_number": 57,
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+      },
+      "accuracy": 47.7,
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+      "acc": 47.7
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+    "MathVision": {
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+      "Visual Correspondence": 83.72,
+      "Visual Similarity": 81.48,
+      "acc_stderr": 0,
+      "acc": 64.11
+    }
+  }
+}

Idefics3-8B-Llama3/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,86 @@
+{
+  "config_general": {
+    "model_name": "Idefics3-8B-Llama3",
+    "model_dtype": "float16",
+    "model_size": 0
+  },
+  "results": {
+    "CMMMU": {
+      "accuracy": 33.89,
+      "acc_stderr": 0,
+      "acc": 33.89
+    },
+    "MMMU": {
+      "accuracy": 42.22,
+      "acc_stderr": 0,
+      "acc": 42.22
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+    "MMMU_Pro_standard": {
+      "accuracy": 27.86,
+      "acc_stderr": 0,
+      "acc": 27.86
+    },
+    "MMMU_Pro_vision": {
+      "accuracy": 13.53,
+      "acc_stderr": 0,
+      "acc": 13.53
+    },
+    "OCRBench": {
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+      "Regular Text Recognition": 30,
+      "Irregular Text Recognition": 24,
+      "Artistic Text Recognition": 23,
+      "Handwriting Recognition": 5,
+      "Digit String Recognition": 1,
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+      "Scene Text-centric VQA": 171,
+      "Doc-oriented VQA": 138,
+      "Key Information Extraction": 160,
+      "Handwritten Mathematical Expression Recognition": 0,
+      "acc_stderr": 0,
+      "acc": 55.3
+    },
+    "MathVision": {
+      "accuracy": 16.25,
+      "acc_stderr": 0,
+      "acc": 16.25
+    },
+    "CII-Bench": {
+      "accuracy": 39.22,
+      "domain_score": {
+        "Life": 35.93,
+        "Art": 41.18,
+        "CTC": 35.56,
+        "Society": 39.46,
+        "Env.": 53.7,
+        "Politics": 45.83
+      },
+      "emotion_score": {
+        "Neutral": 38.72,
+        "Negative": 41.89,
+        "Positive": 36.75
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+      "acc_stderr": 0,
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+    "Blink": {
+      "accuracy": 48.13,
+      "Art Style": 64.96,
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+      "Object Localization": 56.56,
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+      "Relative Reflectance": 38.06,
+      "Semantic Correspondence": 33.81,
+      "Spatial Relation": 79.72,
+      "Visual Correspondence": 42.44,
+      "Visual Similarity": 72.59,
+      "acc_stderr": 0,
+      "acc": 48.13
+    }
+  }
+}

InternVL2-2B/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,155 @@
+{
+  "config_general": {
+    "model_name": "InternVL2-2B",
+    "model_dtype": "float16",
+    "model_size": 0
+  },
+  "results": {
+    "CMMMU": {
+      "艺术与设计": {
+        "num": 88,
+        "correct": 35,
+        "accuracy": 39.77
+      },
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+        "num": 900,
+        "correct": 263,
+        "accuracy": 29.22
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+      "商业": {
+        "num": 126,
+        "correct": 22,
+        "accuracy": 17.46
+      },
+      "科学": {
+        "num": 204,
+        "correct": 43,
+        "accuracy": 21.08
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+}

InternVL2-8B/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,86 @@
+{
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+}

InternVL2-Llama3-76B/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,86 @@
+{
+  "config_general": {
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+}

Janus-1.3B/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,86 @@
+{
+  "config_general": {
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+  }
+}

LLaVA-OneVision-0.5B/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,260 @@
+{
+  "config_general": {
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+}

LLaVA-OneVision-7B/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,86 @@
+{
+  "config_general": {
+    "model_name": "LLaVA-OneVision-7B",
+    "model_dtype": "float16",
+    "model_size": 0
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+      "Handwriting Recognition": 26,
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+        "Life": 34.2,
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+      "Art Style": 58.12,
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+      "Object Localization": 56.56,
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+      "Visual Correspondence": 38.37,
+      "Visual Similarity": 77.78,
+      "acc_stderr": 0,
+      "acc": 49.03
+    }
+  }
+}

LLaVA-Onevision-72B/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,136 @@
+{
+  "config_general": {
+    "model_name": "LLaVA-Onevision-72B",
+    "model_dtype": "float16",
+    "model_size": 0
+  },
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+        "correct": 86,
+        "accuracy": 56.21
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+      "人文社会科学": {
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+        "correct": 50,
+        "accuracy": 58.82
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+      "技术与工程": {
+        "num": 244,
+        "correct": 113,
+        "accuracy": 46.31
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+      "acc": 56.95
+    }
+  }
+}

Llama-3.2-11B-Vision-Instruct/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,86 @@
+{
+  "config_general": {
+    "model_name": "Llama-3.2-11B-Vision-Instruct",
+    "model_dtype": "float16",
+    "model_size": 0
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+      "acc": 28.89
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+      "Visual Correspondence": 13.95,
+      "Visual Similarity": 38.52,
+      "acc_stderr": 0,
+      "acc": 28.2
+    }
+  }
+}

Llama-3.2-90B-Vision-Instruct/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,159 @@
+{
+  "config_general": {
+    "model_name": "Llama-3.2-90B-Vision-Instruct",
+    "model_dtype": "float16",
+    "model_size": 0
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+      "acc": 41.78
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+        "Design": 83.33,
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+        "Math": 30.0,
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+        "Pharmacy": 60.0,
+        "Physics": 60.0,
+        "Psychology": 53.33,
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+        "Sociology": 70.0
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+    }
+  }
+}

MiniCPM-V-2.6/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,86 @@
+{
+  "config_general": {
+    "model_name": "MiniCPM-V-2.6",
+    "model_dtype": "float16",
+    "model_size": 0
+  },
+  "results": {
+    "CMMMU": {
+      "accuracy": 38.89,
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+      "acc": 38.89
+    },
+    "MMMU": {
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+    "MMMU_Pro_vision": {
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+      "acc": 23.01
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+        "Art": 51.47,
+        "Society": 48.65,
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+      "Visual Correspondence": 45.93,
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+      "acc_stderr": 0,
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+    }
+  }
+}

Molmo-72B-0924/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,86 @@
+{
+  "config_general": {
+    "model_name": "Molmo-72B-0924",
+    "model_dtype": "float16",
+    "model_size": 0
+  },
+  "results": {
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+      "acc": 48.33
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+    "MMMU": {
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+    "MMMU_Pro_standard": {
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+    "MMMU_Pro_vision": {
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+    "OCRBench": {
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+      "Artistic Text Recognition": 45,
+      "Handwriting Recognition": 29,
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+      "Scene Text-centric VQA": 184,
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+      "Handwritten Mathematical Expression Recognition": 9,
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+      "acc": 73.3
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+    "MathVision": {
+      "accuracy": 24.38,
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+    "CII-Bench": {
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+        "Life": 53.25,
+        "Art": 57.35,
+        "CTC": 46.67,
+        "Society": 48.11,
+        "Env.": 62.96,
+        "Politics": 62.5
+      },
+      "emotion_score": {
+        "Neutral": 53.01,
+        "Negative": 52.45,
+        "Positive": 52.14
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+    "Blink": {
+      "accuracy": 49.03,
+      "Art Style": 57.26,
+      "Counting": 68.33,
+      "Forensic Detection": 40.15,
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+      "IQ Test": 27.33,
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+      "Object Localization": 54.1,
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+      "Visual Correspondence": 36.05,
+      "Visual Similarity": 74.81,
+      "acc_stderr": 0,
+      "acc": 49.03
+    }
+  }
+}

Molmo-7B-D/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,86 @@
+{
+  "config_general": {
+    "model_name": "Molmo-7B-D",
+    "model_dtype": "float16",
+    "model_size": 0
+  },
+  "results": {
+    "CMMMU": {
+      "accuracy": 39.78,
+      "acc_stderr": 0,
+      "acc": 39.78
+    },
+    "MMMU": {
+      "accuracy": 43.0,
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+      "acc": 43.0
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+    "MMMU_Pro_standard": {
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+      "acc": 26.07
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+    "MMMU_Pro_vision": {
+      "accuracy": 54.97,
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+    "OCRBench": {
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+      "Artistic Text Recognition": 45,
+      "Handwriting Recognition": 28,
+      "Digit String Recognition": 29,
+      "Non-Semantic Text Recognition": 34,
+      "Scene Text-centric VQA": 176,
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+      "Handwritten Mathematical Expression Recognition": 6,
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+    "MathVision": {
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+    "CII-Bench": {
+      "accuracy": 40.13,
+      "domain_score": {
+        "Life": 33.77,
+        "Art": 43.38,
+        "CTC": 35.56,
+        "Society": 42.7,
+        "Env.": 57.41,
+        "Politics": 50.0
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+      "emotion_score": {
+        "Neutral": 40.23,
+        "Negative": 42.64,
+        "Positive": 37.18
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+      "acc_stderr": 0,
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+    "Blink": {
+      "accuracy": 43.56,
+      "Art Style": 58.12,
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+      "Forensic Detection": 29.55,
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+      "IQ Test": 22.67,
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+      "Relative Depth": 70.16,
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+      "Visual Correspondence": 28.49,
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+      "acc_stderr": 0,
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+    }
+  }
+}

Mono-InternVL-2B/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,86 @@
+{
+  "config_general": {
+    "model_name": "Mono-InternVL-2B",
+    "model_dtype": "float16",
+    "model_size": 0
+  },
+  "results": {
+    "CMMMU": {
+      "accuracy": 28.56,
+      "acc_stderr": 0,
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+    "MMMU": {
+      "accuracy": 28.22,
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+    "MMMU_Pro_standard": {
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+    "MMMU_Pro_vision": {
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+    "OCRBench": {
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+      "Artistic Text Recognition": 39,
+      "Handwriting Recognition": 19,
+      "Digit String Recognition": 44,
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+      "Scene Text-centric VQA": 163,
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+      "Handwritten Mathematical Expression Recognition": 54,
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+    "MathVision": {
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+    "CII-Bench": {
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+        "Life": 14.72,
+        "Art": 27.94,
+        "CTC": 28.89,
+        "Society": 25.41,
+        "Env.": 24.07,
+        "Politics": 33.33
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+      "emotion_score": {
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+        "Negative": 21.89,
+        "Positive": 20.09
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+    "Blink": {
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+      "Art Style": 43.59,
+      "Counting": 25.83,
+      "Forensic Detection": 31.06,
+      "Functional Correspondence": 14.62,
+      "IQ Test": 20.0,
+      "Jigsaw": 46.0,
+      "Multi-view Reasoning": 40.6,
+      "Object Localization": 59.84,
+      "Relative Depth": 54.84,
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+      "Semantic Correspondence": 25.9,
+      "Spatial Relation": 51.05,
+      "Visual Correspondence": 18.6,
+      "Visual Similarity": 42.96,
+      "acc_stderr": 0,
+      "acc": 35.72
+    }
+  }
+}

NVLM-D-72B/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,91 @@
+{
+  "config_general": {
+    "model_name": "NVLM-D-72B",
+    "model_dtype": "float16",
+    "model_size": 0
+  },
+  "results": {
+    "CMMMU": {
+      "accuracy": 50.22,
+      "acc_stderr": 0,
+      "acc": 50.22
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+    "MMMU": {
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+    "MMMU_Pro_standard": {
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+      "accuracy": 36.84,
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+    "MMMU_Pro_vision": {
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+    },
+    "OCRBench": {
+      "accuracy": 79.5,
+      "Regular Text Recognition": 46,
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+      "Artistic Text Recognition": 47,
+      "Handwriting Recognition": 38,
+      "Digit String Recognition": 38,
+      "Non-Semantic Text Recognition": 29,
+      "Scene Text-centric VQA": 181,
+      "Doc-oriented VQA": 144,
+      "Key Information Extraction": 164,
+      "Handwritten Mathematical Expression Recognition": 60,
+      "acc_stderr": 0,
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+      "acc_stderr": 0,
+      "acc": 47.5
+    }
+  }
+}

Phi-3.5-Vision-Instruct/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,86 @@
+{
+  "config_general": {
+    "model_name": "Phi-3.5-Vision-Instruct",
+    "model_dtype": "float16",
+    "model_size": 0
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+      "Digit String Recognition": 11,
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+      "Scene Text-centric VQA": 156,
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+      "Handwritten Mathematical Expression Recognition": 2,
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+      "acc": 60.9
+    },
+    "MathVision": {
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+      "acc": 14.47
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+        "CTC": 36.3,
+        "Society": 33.51,
+        "Env.": 46.3,
+        "Politics": 50.0
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+        "Negative": 36.23,
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+      "Art Style": 88.89,
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+      "IQ Test": 26.0,
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+      "Object Localization": 45.9,
+      "Relative Depth": 70.16,
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+      "Visual Correspondence": 55.23,
+      "Visual Similarity": 84.44,
+      "acc_stderr": 0,
+      "acc": 57.39
+    }
+  }
+}

Pixtral-12B-2409/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,120 @@
+{
+  "config_general": {
+    "model_name": "Pixtral-12B-2409",
+    "model_dtype": "float16",
+    "model_size": 0
+  },
+  "results": {
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+      "acc_stderr": 0,
+      "acc": 35.89
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+      "acc": 48.67
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+    "MMMU_Pro_vision": {
+      "accuracy": 57.51,
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+    "OCRBench": {
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+        1000
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+      "accuracy": 68.1,
+      "Regular Text Recognition": [
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+        50
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+      "Irregular Text Recognition": [
+        34,
+        50
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+      "Artistic Text Recognition": [
+        47,
+        50
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+      "Handwriting Recognition": [
+        34,
+        50
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+      "Digit String Recognition": [
+        23,
+        50
+      ],
+      "Non-Semantic Text Recognition": [
+        38,
+        50
+      ],
+      "Scene Text-centric VQA": [
+        165,
+        200
+      ],
+      "Doc-oriented VQA": [
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+        200
+      ],
+      "Key Information Extraction": [
+        140,
+        200
+      ],
+      "Handwritten Mathematical Expression Recognition": [
+        1,
+        100
+      ],
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+      "acc": 68.1
+    },
+    "MathVision": {
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+        "Politics": 50.0
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+      "Visual Correspondence": 69.19,
+      "Visual Similarity": 72.59,
+      "acc_stderr": 0,
+      "acc": 52.13
+    }
+  }
+}

Qwen-VL-Max/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,116 @@
+{
+  "config_general": {
+    "model_name": "Qwen-VL-Max",
+    "model_dtype": "float16",
+    "model_size": 0
+  },
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+      "acc": 49.94
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+      "acc": 39.25
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+    "OCRBench": {
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+        "reject_number": 2,
+        "total_question": 1000
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+      "Scene Text-centric VQA": 175,
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+      "Handwritten Mathematical Expression Recognition": 59,
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+    "MathVision": {
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+        "reject_number": 1,
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+    "CII-Bench": {
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+      "acc": 56.4
+    }
+  }
+}

Qwen2-VL-2B-Instruct/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,86 @@
+{
+  "config_general": {
+    "model_name": "Qwen2-VL-2B-Instruct",
+    "model_dtype": "float16",
+    "model_size": 0
+  },
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+    },
+    "OCRBench": {
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+      "Scene Text-centric VQA": 172,
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+      "Handwritten Mathematical Expression Recognition": 30,
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+      "acc": 75.5
+    },
+    "MathVision": {
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+    },
+    "CII-Bench": {
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+      "domain_score": {
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+        "CTC": 46.67,
+        "Society": 40.0,
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+      },
+      "emotion_score": {
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+    },
+    "Blink": {
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+      "Art Style": 47.01,
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+      "Visual Correspondence": 28.49,
+      "Visual Similarity": 55.56,
+      "acc_stderr": 0,
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+    }
+  }
+}

Qwen2-VL-72B-Instruct/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,91 @@
+{
+  "config_general": {
+    "model_name": "Qwen2-VL-72B-Instruct",
+    "model_dtype": "float16",
+    "model_size": 0
+  },
+  "results": {
+    "CMMMU": {
+      "accuracy": 52.78,
+      "acc_stderr": 0,
+      "acc": 52.78
+    },
+    "MMMU": {
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+      "acc": 60.89
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+    "MMMU_Pro_standard": {
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+    "OCRBench": {
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+      "Regular Text Recognition": 48,
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+      "Handwriting Recognition": 29,
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+      "Scene Text-centric VQA": 178,
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+      "Handwritten Mathematical Expression Recognition": 63,
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+    },
+    "MathVision": {
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+    },
+    "CII-Bench": {
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+        "Art": 63.24,
+        "Env.": 79.63,
+        "Life": 64.94,
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+      "Functional Correspondence": 25.38,
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+      "acc_stderr": 0,
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+    }
+  }
+}

Qwen2-VL-7B-Instruct/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,86 @@
+{
+  "config_general": {
+    "model_name": "Qwen2-VL-7B-Instruct",
+    "model_dtype": "float16",
+    "model_size": 0
+  },
+  "results": {
+    "CMMMU": {
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+      "acc_stderr": 0,
+      "acc": 44.78
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+    "MMMU": {
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+    "MMMU_Pro_vision": {
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+      "Handwritten Mathematical Expression Recognition": 59,
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+    },
+    "MathVision": {
+      "accuracy": 17.34,
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+    "CII-Bench": {
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+        "Life": 41.99,
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+        "Society": 51.89,
+        "Env.": 74.07,
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+        "Negative": 48.68,
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+    },
+    "Blink": {
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+      "Art Style": 59.83,
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+      "Forensic Detection": 30.3,
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+      "Object Localization": 54.92,
+      "Relative Depth": 67.74,
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+      "Semantic Correspondence": 31.65,
+      "Spatial Relation": 83.92,
+      "Visual Correspondence": 44.19,
+      "Visual Similarity": 84.44,
+      "acc_stderr": 0,
+      "acc": 50.08
+    }
+  }
+}

Step-1V-32k/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,123 @@
+{
+  "config_general": {
+    "model_name": "Step-1V-32k",
+    "model_dtype": "float16",
+    "model_size": 0
+  },
+  "results": {
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+      "accuracy": 47.33,
+      "acc_stderr": 0,
+      "acc": 47.33
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+    "MMMU": {
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+        "Finance": 31.67,
+        "Sociology": 42.59,
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+        "Pharmacy": 43.86,
+        "Architecture_and_Engineering": 11.67,
+        "Clinical_Medicine": 20.34,
+        "Public_Health": 37.93,
+        "Physics": 23.33,
+        "Art_Theory": 67.27,
+        "Electronics": 20.0,
+        "Psychology": 33.33,
+        "Biology": 35.59,
+        "Manage": 28.0,
+        "Economics": 57.63,
+        "Mechanical_Engineering": 18.64,
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+        "Computer_Science": 33.33,
+        "Math": 26.67,
+        "Music": 18.33,
+        "Materials": 18.33,
+        "Marketing": 45.76,
+        "Chemistry": 28.33,
+        "Geography": 36.54
+      },
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+        "Easy": 51.7,
+        "Hard": 17.96
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+      "acc_stderr": 0,
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+    "MMMU_Pro_vision": {
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+    "OCRBench": {
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+      "Regular Text Recognition": 49,
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+      "Handwriting Recognition": 42,
+      "Digit String Recognition": 38,
+      "Non-Semantic Text Recognition": 44,
+      "Scene Text-centric VQA": 185,
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+      "Handwritten Mathematical Expression Recognition": 62,
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+    "MathVision": {
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+    "CII-Bench": {
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+      "domain_score": {
+        "Life": 61.04,
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+        "Env.": 72.22,
+        "Politics": 79.17
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+      "Visual Correspondence": 75.0,
+      "Visual Similarity": 83.7,
+      "acc_stderr": 0,
+      "acc": 58.13
+    }
+  }
+}

XGen-MM-Instruct-Interleave-v1.5/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,86 @@
+{
+  "config_general": {
+    "model_name": "XGen-MM-Instruct-Interleave-v1.5",
+    "model_dtype": "float16",
+    "model_size": 0
+  },
+  "results": {
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+      "acc_stderr": 0,
+      "acc": 27.56
+    },
+    "MMMU": {
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+      "acc": 40.0
+    },
+    "MMMU_Pro_standard": {
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+      "acc_stderr": 0,
+      "acc": 25.49
+    },
+    "MMMU_Pro_vision": {
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+      "acc_stderr": 0,
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+    },
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+      "Irregular Text Recognition": 45,
+      "Artistic Text Recognition": 45,
+      "Handwriting Recognition": 29,
+      "Digit String Recognition": 28,
+      "Non-Semantic Text Recognition": 32,
+      "Scene Text-centric VQA": 175,
+      "Doc-oriented VQA": 84,
+      "Key Information Extraction": 69,
+      "Handwritten Mathematical Expression Recognition": 0,
+      "acc_stderr": 0,
+      "acc": 55.5
+    },
+    "MathVision": {
+      "accuracy": 20.56,
+      "acc_stderr": 0,
+      "acc": 20.56
+    },
+    "CII-Bench": {
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+      "domain_score": {
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+        "Art": 40.44,
+        "CTC": 37.04,
+        "Society": 40.54,
+        "Env.": 50.0,
+        "Politics": 45.83
+      },
+      "emotion_score": {
+        "Neutral": 37.59,
+        "Negative": 39.62,
+        "Positive": 33.33
+      },
+      "acc_stderr": 0,
+      "acc": 36.99
+    },
+    "Blink": {
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+      "Art Style": 40.17,
+      "Counting": 55.0,
+      "Forensic Detection": 31.82,
+      "Functional Correspondence": 29.23,
+      "IQ Test": 28.0,
+      "Jigsaw": 40.0,
+      "Multi-view Reasoning": 55.64,
+      "Object Localization": 52.46,
+      "Relative Depth": 73.39,
+      "Relative Reflectance": 43.28,
+      "Semantic Correspondence": 21.58,
+      "Spatial Relation": 76.92,
+      "Visual Correspondence": 44.77,
+      "Visual Similarity": 77.78,
+      "acc_stderr": 0,
+      "acc": 47.55
+    }
+  }
+}

Yi-Vision/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,111 @@
+{
+  "config_general": {
+    "model_name": "Yi-Vision",
+    "model_dtype": "float16",
+    "model_size": 0
+  },
+  "results": {
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+      "acc_stderr": 0,
+      "acc": 51.44
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+        "total_question": 900
+      },
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+      "acc": 57.64
+    },
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+        "reject_number": 1,
+        "total_question": 1730
+      },
+      "accuracy": 36.67,
+      "acc_stderr": 0,
+      "acc": 36.67
+    },
+    "MMMU_Pro_vision": {
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+        "reject_number": 1,
+        "total_question": 1730
+      },
+      "accuracy": 27.47,
+      "acc_stderr": 0,
+      "acc": 27.47
+    },
+    "OCRBench": {
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+      "Regular Text Recognition": 50,
+      "Irregular Text Recognition": 49,
+      "Artistic Text Recognition": 47,
+      "Handwriting Recognition": 37,
+      "Digit String Recognition": 39,
+      "Non-Semantic Text Recognition": 41,
+      "Scene Text-centric VQA": 185,
+      "Doc-oriented VQA": 165,
+      "Key Information Extraction": 168,
+      "Handwritten Mathematical Expression Recognition": 37,
+      "acc_stderr": 0,
+      "acc": 81.8
+    },
+    "MathVision": {
+      "reject_info": {
+        "reject_rate": 0.07,
+        "reject_number": 2,
+        "total_question": 3040
+      },
+      "accuracy": 22.19,
+      "acc_stderr": 0,
+      "acc": 22.19
+    },
+    "CII-Bench": {
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+      "domain_score": {
+        "Life": 49.35,
+        "Art": 54.41,
+        "CTC": 52.59,
+        "Society": 60.54,
+        "Env.": 61.11,
+        "Politics": 54.17
+      },
+      "emotion_score": {
+        "Neutral": 58.65,
+        "Negative": 55.09,
+        "Positive": 49.15
+      },
+      "acc_stderr": 0,
+      "acc": 54.51
+    },
+    "Blink": {
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+        "reject_number": 2,
+        "total_question": 1901
+      },
+      "accuracy": 62.66,
+      "Art Style": 76.07,
+      "Counting": 70.83,
+      "Forensic Detection": 71.21,
+      "Functional Correspondence": 35.38,
+      "IQ Test": 26.0,
+      "Jigsaw": 84.0,
+      "Multi-view Reasoning": 45.11,
+      "Object Localization": 64.75,
+      "Relative Depth": 75.81,
+      "Relative Reflectance": 34.33,
+      "Semantic Correspondence": 47.83,
+      "Spatial Relation": 80.42,
+      "Visual Correspondence": 79.53,
+      "Visual Similarity": 85.19,
+      "acc_stderr": 0,
+      "acc": 62.66
+    }
+  }
+}