# Technical Document: Line Chart Analysis ## 1. Chart Overview The image is a **line chart** visualizing performance scores (%) across 22 model numbers (x-axis) for multiple data series. The y-axis represents scores ranging from 30% to 95%. --- ## 2. Axis Labels - **X-axis**: "Model Number" (1–22) - **Y-axis**: "Score (%)" (30–95) --- ## 3. Legend The legend is located on the **right side** of the chart. Each data series is represented by a unique color, line style, and marker. Below is the legend mapping: | **Label** | **Color** | **Marker** | **Line Style** | |--------------------|-----------|------------|----------------| | AI2D | Purple | Circle | Solid | | DocVQA | Green | Triangle | Solid | | ChartQA | Pink | Diamond | Solid | | ActivityNet | Orange | Square | Solid | | EgoSchema | Brown | Circle | Solid | | CharXiv-D | Pink | Diamond | Dashed | | VideoMMMU | Yellow | Circle | Solid | | MMMU | Brown | Circle | Solid | | CharXiv-R | Gray | Circle | Solid | | MMMU Pro | Cyan | Circle | Solid | | ERQA | Cyan | Triangle | Solid | --- ## 4. Data Series Trends ### 4.1 AI2D (Purple, Circle) - **Trend**: Starts at 90% (Model 3), increases slightly to 95% (Model 5), then plateaus. - **Key Points**: - Model 3: 90% - Model 5: 95% - Model 20: 95% ### 4.2 DocVQA (Green, Triangle) - **Trend**: Starts at 85% (Model 3), rises sharply to 95% (Model 5), then plateaus. - **Key Points**: - Model 3: 85% - Model 5: 95% - Model 20: 95% ### 4.3 ChartQA (Pink, Diamond) - **Trend**: Peaks at 85% (Model 4), drops to 75% (Model 10), then recovers to 90% (Model 13). - **Key Points**: - Model 4: 85% - Model 10: 75% - Model 13: 90% ### 4.4 ActivityNet (Orange, Square) - **Trend**: Starts at 60% (Model 3), increases steadily to 85% (Model 20). - **Key Points**: - Model 3: 60% - Model 20: 85% ### 4.5 EgoSchema (Brown, Circle) - **Trend**: Fluctuates between 55% (Model 10) and 80% (Model 8), ending at 80% (Model 20). - **Key Points**: - Model 10: 55% - Model 8: 80% - Model 20: 80% ### 4.6 CharXiv-D (Pink, Diamond) - **Trend**: Peaks at 90% (Model 13), drops to 75% (Model 10), then recovers to 90% (Model 13). - **Key Points**: - Model 13: 90% - Model 10: 75% - Model 20: 90% ### 4.7 VideoMMMU (Yellow, Circle) - **Trend**: Starts at 75% (Model 11), increases steadily to 85% (Model 20). - **Key Points**: - Model 11: 75% - Model 20: 85% ### 4.8 MMMU (Brown, Circle) - **Trend**: Similar to VideoMMMU, starts at 75% (Model 11), increases to 85% (Model 20). - **Key Points**: - Model 11: 75% - Model 20: 85% ### 4.9 CharXiv-R (Gray, Circle) - **Trend**: Starts at 58% (Model 3), increases to 80% (Model 20). - **Key Points**: - Model 3: 58% - Model 20: 80% ### 4.10 MMMU Pro (Cyan, Circle) - **Trend**: Starts at 65% (Model 3), increases steadily to 80% (Model 20). - **Key Points**: - Model 3: 65% - Model 20: 80% ### 4.11 ERQA (Cyan, Triangle) - **Trend**: Starts at 35% (Model 3), increases steadily to 65% (Model 20). - **Key Points**: - Model 3: 35% - Model 20: 65% --- ## 5. Spatial Grounding - **Legend Position**: Right side of the chart. - **Color-Marker Consistency**: All data series match the legend (e.g., purple circles for AI2D, green triangles for DocVQA). --- ## 6. Trend Verification - **Upward Slopes**: AI2D, DocVQA, ActivityNet, VideoMMMU, MMMU, CharXiv-R, MMMU Pro, ERQA. - **Downward Slopes**: ChartQA (Model 4–10), CharXiv-D (Model 13–10). - **Fluctuations**: EgoSchema (Model 3–20). --- ## 7. Data Table Reconstruction | Model Number | AI2D (%) | DocVQA (%) | ChartQA (%) | ActivityNet (%) | EgoSchema (%) | CharXiv-D (%) | VideoMMMU (%) | MMMU (%) | CharXiv-R (%) | MMMU Pro (%) | ERQA (%) | |--------------|----------|------------|-------------|-----------------|---------------|---------------|---------------|----------|---------------|--------------|----------| | 3 | 90 | 85 | 78 | 60 | 63 | 58 | - | - | 58 | 65 | 35 | | 4 | 95 | 95 | 85 | 62 | 60 | 60 | - | - | 60 | 68 | 38 | | 5 | 95 | 95 | 85 | 65 | 72 | 55 | - | - | 55 | 70 | 40 | | 8 | 95 | 95 | 85 | 70 | 55 | 80 | - | - | 55 | 75 | 50 | | 10 | 95 | 95 | 75 | 72 | 55 | 55 | - | - | 55 | 78 | 55 | | 11 | 95 | 95 | 85 | 75 | 73 | 73 | 75 | 75 | 73 | 78 | 60 | | 13 | 95 | 95 | 90 | 77 | 75 | 75 | 80 | 80 | 75 | 80 | 65 | | 15 | 95 | 95 | 85 | 80 | 82 | 82 | 85 | 85 | 82 | 83 | 70 | | 16 | 95 | 95 | 85 | 82 | 80 | 80 | 85 | 85 | 80 | 85 | 75 | | 17 | 95 | 95 | 85 | 83 | 80 | 80 | 85 | 85 | 80 | 85 | 75 | | 18 | 95 | 95 | 85 | 84 | 80 | 80 | 85 | 85 | 80 | 85 | 75 | | 19 | 95 | 95 | 85 | 85 | 80 | 80 | 85 | 85 | 80 | 85 | 75 | | 20 | 95 | 95 | 85 | 85 | 80 | 80 | 85 | 85 | 80 | 85 | 75 | --- ## 8. Notes - **Missing Data**: Some series (e.g., VideoMMMU, MMMU) have no data for Models 1–10. - **Color Consistency**: All markers and lines align with the legend (e.g., pink diamonds for ChartQA, cyan triangles for ERQA). - **Final Trend**: Most series show improvement over time, with AI2D and DocVQA maintaining the highest scores. --- ## 9. Conclusion The chart illustrates performance trends across 11 data series. AI2D and DocVQA consistently achieve the highest scores, while ERQA shows the most significant improvement from Model 3 to 20. All data points align with the legend, and trends are visually verified.