# Technical Document Extraction: MATH (gemini-1.5-pro-002) Chart Analysis
## Chart Overview
- **Title**: MATH (gemini-1.5-pro-002)
- **Type**: Line chart with scatter plot annotations
- **Primary Trend**: "MASS" series dominates with a consistent upward trajectory
## Axes
- **X-axis**: Total Tokens (0–8000)
- Linear scale with increments of 1000
- Labels: 0, 1000, 2000, 3000, 4000, 5000, 6000, 7000, 8000
- **Y-axis**: Accuracy (%) (70–84)
- Linear scale with increments of 2
- Labels: 70, 72, 74, 76, 78, 80, 82, 84
## Legend
- **Location**: Right side of chart
- **Color-Coded Labels**:
- Red: MASS
- Purple: Refine@5
- Green: Debate 1R@2A
- Yellow: Step-Back
- Orange: CoT-SC@3
- Blue: CoT-SC@5
- Gray: Quality-Diverse
- Orange (diamond): Debate 2R@3A
- Yellow (star): ADAS-Tool
## Data Points & Trends
### 1. MASS Series (Red Line)
- **Trend**: Steady upward slope from 2000 to 6000 tokens
- **Key Points**:
- [2000, 81.5] (★)
- [3000, 82.0] (★)
- [4000, 82.5] (★)
- [5000, 82.8] (★)
- [6000, 83.0] (★)
### 2. Secondary Data Points
| Label | Color | X | Y | Marker Type |
|------------------|-----------|-------|-------|-------------|
| CoT | Red | 500 | 72.5 | ● |
| CoT-SC@3 | Orange | 1500 | 74.5 | ✗ |
| Step-Back | Yellow | 1800 | 76 | ▲ |
| Debate 1R@2A | Green | 2000 | 77.5 | ◇ |
| Refine@5 | Purple | 2500 | 79.5 | ✞ |
| CoT-SC@5 | Blue | 2800 | 75.5 | ■ |
| ADAS-T&S | Orange | 3800 | 76 | 🔶 |
| Quality-Diverse | Gray | 5500 | 76.5 | ❌ |
| Debate 2R@3A | Orange | 7000 | 78 | ◆ |
| ADAS-Tool | Yellow | 7200 | 74 | ★ |
## Spatial Grounding Verification
- All legend colors match corresponding data points
- No color mismatches detected between legend and chart elements
- Spatial distribution shows:
- Early-stage models (CoT, CoT-SC) clustered near 0–3000 tokens
- Advanced models (MASS, Debate) concentrated in 2000–7000 token range
- ADAS-Tool positioned at extreme right (7200 tokens)
## Trend Verification
1. **MASS**: Consistent linear growth (R² > 0.95)
2. **Debate 1R@2A**: Single high-performing point at 2000 tokens
3. **Refine@5**: Peak performance at 2500 tokens
4. **ADAS-Tool**: Outlier at 7200 tokens with lowest accuracy
5. **Quality-Diverse**: Mid-range performance at 5500 tokens
## Critical Observations
1. MASS demonstrates superior scalability with token count
2. Debate-based approaches show high accuracy at specific token thresholds
3. ADAS-Tool exhibits lowest performance despite high token count
4. Step-Back and Refine@5 show mid-range performance with moderate token requirements
## Language Note
All textual content in the image is in English. No non-English content detected.
