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@@ -44,8 +44,8 @@ Unlike general-purpose multimodal models, LandAI-Base has been fine-tuned on a c
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  LandAI-Base demonstrates a substantial leap in reasoning capabilities compared to its backbone model. In the **GeoTest2025** benchmark (derived from restricted 2025 National Postgraduate Entrance Examination questions), it achieves near-commercial performance.
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- | Model | GeoTest2025 (Geography) | AIME 2024 (Math Logic) | HumanEval | MMMU pro |
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- | :--- | :---: | :---: | :---: |
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  | **LandAI-Base-7B (Ours)** | **93.3%** | **16.7%** | **66.4%** | **44.7%** |
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  | Qwen2.5-VL-7B (Baseline) | 46.7% | 3.3% | 67.3% | 41.2% |
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  | GPT-4o | 92.1% | 9.3% | 90.2% | 51.9% |
 
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  LandAI-Base demonstrates a substantial leap in reasoning capabilities compared to its backbone model. In the **GeoTest2025** benchmark (derived from restricted 2025 National Postgraduate Entrance Examination questions), it achieves near-commercial performance.
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+ | Model | GeoTest2025 (Geography) | AIME 2024 | HumanEval | MMMU pro |
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+ | :--- | :---: | :---: | :---: | :---: |
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  | **LandAI-Base-7B (Ours)** | **93.3%** | **16.7%** | **66.4%** | **44.7%** |
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  | Qwen2.5-VL-7B (Baseline) | 46.7% | 3.3% | 67.3% | 41.2% |
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  | GPT-4o | 92.1% | 9.3% | 90.2% | 51.9% |