# Technical Document Extraction: Line Chart Analysis ## 1. Axis Labels and Markers - **X-axis**: Labeled "k" with discrete ticks at positions 1, 2, 3. - **Y-axis**: Labeled "Pass@k (%)" with a range from 5% to 35%, incremented by 5%. - **Grid**: Dashed gray gridlines for reference. ## 2. Legend and Color Mapping - **Legend Position**: Lower-right quadrant of the chart. - **Color-Label Mapping**: - **Red**: RL (Reinforcement Learning) - **Orange**: SFT (Softmax Fine-Tuning) - **Purple**: MT (Model Tuning) - **Blue**: Base (Baseline) ## 3. Data Series and Trends ### RL (Red Line) - **Trend**: Steady upward slope with moderate curvature. - **Data Points**: - k=1: ~17% - k=2: ~27% - k=3: ~31% ### SFT (Orange Line) - **Trend**: Sharpest upward trajectory, most aggressive growth. - **Data Points**: - k=1: ~16% - k=2: ~26% - k=3: ~34.5% ### MT (Purple Line) - **Trend**: Consistent linear increase, least curvature. - **Data Points**: - k=1: ~15.5% - k=2: ~25.5% - k=3: ~30% ### Base (Blue Line) - **Trend**: Slightly curved upward, closely follows RL. - **Data Points**: - k=1: ~18.5% - k=2: ~26% - k=3: ~30.5% ## 4. Spatial Grounding - **Legend**: Located at [x=0.85, y=0.15] (normalized coordinates). - **Data Point Verification**: - All line colors match legend labels (e.g., red = RL, orange = SFT). ## 5. Key Observations - **Performance Gaps**: - At k=3, SFT outperforms all methods by ~4.5% over RL and ~4% over Base. - MT consistently lags by ~1–2% compared to RL/Base. - **Scalability**: All methods improve with increasing k, but SFT shows the highest scalability. ## 6. Missing Elements - No embedded text, tables, or non-English content detected. - No heatmap or multi-category sub-categories present. ## 7. Final Data Table Reconstruction | k | RL (%) | SFT (%) | MT (%) | Base (%) | |----|--------|---------|--------|----------| | 1 | 17 | 16 | 15.5 | 18.5 | | 2 | 27 | 26 | 25.5 | 26 | | 3 | 31 | 34.5 | 30 | 30.5 |