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@@ -27,19 +27,22 @@ We evaluated our model against traditional heuristics, machine learning approach
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  <img src="analysis/overall_performance_comparison.png" alt="Model Comparison" width="100%"/>
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  </div>
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- | Model | Kendall's τ | Exact Match | Position Acc | Inference (ms) |
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- |-------|------------|-------------|--------------|----------------|
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- | **Chunkr Reading Order** | **97.6%** | **87.2%** | **94.8%** | **31.0** |
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- | openai/gpt-5 | 83.6% | 72.0% | 80.3% | 22836.3 |
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- | x-ai/grok-4-fast | 91.3% | 68.2% | 82.8% | 3886.4 |
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- | Pairwise XGBoost* | 91.5% | 66.9% | 82.7% | 16.4 |
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- | Pairwise LightGBM* | 91.4% | 67.0% | 82.6% | 33.8 |
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- | google/gemini-2.5-pro | 80.6% | 69.9% | 77.2% | 5254.1 |
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- | anthropic/claude-sonnet-4.5 | 83.6% | 53.1% | 73.0% | 1362.0 |
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- | qwen/qwen3-vl-235b-a22b-instruct | 78.8% | 52.9% | 67.5% | 4732.8 |
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- | XY-Cut | 82.9% | 51.6% | 68.1% | 1.0 |
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- | TBLR (Baseline) | 86.8% | 47.2% | 73.2% | 1.0 |
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- | z-ai/glm-4.5v | 71.2% | 43.9% | 58.4% | 8385.7 |
 
 
 
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  ## Dataset Overview
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  <img src="analysis/overall_performance_comparison.png" alt="Model Comparison" width="100%"/>
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  </div>
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+ | Model | Exact Match | Kendall's τ | Spearman's ρ | Position Acc | Inference (ms) |
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+ |-------|------------|-------------|--------------|--------------|----------------|
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+ | **Chunkr Reading Order** | **88.1%** | **98.2%** | **98.5%** | **96.1%** | **44.6** |
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+ | openai/gpt-5 | 74.8% | 85.0% | 85.3% | 82.5% | 15035.2 |
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+ | google/gemini-2.5-pro | 72.4% | 82.1% | 82.5% | 79.3% | 4678.5 |
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+ | x-ai/grok-4-fast | 68.8% | 91.4% | 92.5% | 83.2% | 5661.1 |
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+ | Pairwise XGBoost* | 67.7% | 92.8% | 94.6% | 84.7% | 16.7 |
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+ | Pairwise LightGBM* | 67.4% | 92.9% | 94.9% | 84.3% | 33.6 |
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+ | anthropic/claude-sonnet-4.5 | 53.8% | 84.5% | 87.1% | 73.1% | 919.4 |
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+ | XY-Cut | 51.7% | 84.4% | 85.5% | 68.5% | 1.7 |
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+ | TBLR (Baseline) | 50.3% | 87.5% | 90.4% | 75.2% | 1.7 |
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+ | qwen/qwen3-vl-235b-a22b-instruct | 49.1% | 79.7% | 80.9% | 66.7% | 4668.5 |
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+ | z-ai/glm-4.5v | 46.8% | 74.5% | 75.4% | 61.0% | 8968.0 |
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+ | LayoutLMv3 Base | 9.4% | 12.0% | 13.0% | 23.9% | 44.2 |
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+ \*Pairwise models trained on Chunkr dataset with optimized features
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  ## Dataset Overview
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