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  - **Stage 1:** Fine-tuning on the full dataset.
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  - **Stage 2:** Refinement using a curated subset of 200K high-scoring samples filtered by GPT-4 evaluations.
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- - **Stage 3:** Further fine-tuning using mispredicted samples from Stage 2 alongside a small amount of generic domain data.
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  ### 3. High-Quality Chain-of-Thought (CoT) Fine-Tuning
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- - Integrates high-quality CoT data including self-collected multimodal Chinese Gaokao data with detailed analysis to boost the model’s reasoning capability.
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  ## Model Introduction
 
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  - **Stage 1:** Fine-tuning on the full dataset.
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  - **Stage 2:** Refinement using a curated subset of 200K high-scoring samples filtered by GPT-4 evaluations.
 
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  ### 3. High-Quality Chain-of-Thought (CoT) Fine-Tuning
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+ - Fine-tuning on 40K high-quality CoT data including self-collected multimodal Chinese Gaokao data with detailed analysis to boost the model’s reasoning capability.
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  ## Model Introduction