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Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | AIME25 | GPQADiamond | MMLUPro | LiveCodeBench | CodeElo | JEEBench |
|--------|------|-----|-------|------|-----------|-------|-------------|-------|--------|
| Accuracy | 58.0 | 87.2 | 88.0 | 35.3 | 47.5 | 31.6 | 55.6 | 24.2 | 66.1 |
### AIME24
- **Average Accuracy**: 58.00% ± 1.43%
- **Number of Runs**: 10
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 66.67% | 20 | 30 |
| 2 | 56.67% | 17 | 30 |
| 3 | 53.33% | 16 | 30 |
| 4 | 53.33% | 16 | 30 |
| 5 | 56.67% | 17 | 30 |
| 6 | 56.67% | 17 | 30 |
| 7 | 63.33% | 19 | 30 |
| 8 | 56.67% | 17 | 30 |
| 9 | 63.33% | 19 | 30 |
| 10 | 53.33% | 16 | 30 |
### AMC23
- **Average Accuracy**: 87.25% ± 0.90%
- **Number of Runs**: 10
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 90.00% | 36 | 40 |
| 2 | 87.50% | 35 | 40 |
| 3 | 87.50% | 35 | 40 |
| 4 | 87.50% | 35 | 40 |
| 5 | 90.00% | 36 | 40 |
| 6 | 85.00% | 34 | 40 |
| 7 | 90.00% | 36 | 40 |
| 8 | 80.00% | 32 | 40 |
| 9 | 87.50% | 35 | 40 |
| 10 | 87.50% | 35 | 40 |
### MATH500
- **Accuracy**: 88.00%
| Accuracy | Questions Solved | Total Questions |
|----------|-----------------|----------------|
| 88.00% | 440 | 500 |
### AIME25
- **Average Accuracy**: 35.33% ± 2.22%
- **Number of Runs**: 10
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 40.00% | 12 | 30 |
| 2 | 30.00% | 9 | 30 |
| 3 | 33.33% | 10 | 30 |
| 4 | 33.33% | 10 | 30 |
| 5 | 33.33% | 10 | 30 |
| 6 | 26.67% | 8 | 30 |
| 7 | 36.67% | 11 | 30 |
| 8 | 36.67% | 11 | 30 |
| 9 | 53.33% | 16 | 30 |
| 10 | 30.00% | 9 | 30 |
### GPQADiamond
- **Average Accuracy**: 47.47% ± 1.04%
- **Number of Runs**: 3
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 48.99% | 97 | 198 |
| 2 | 48.48% | 96 | 198 |
| 3 | 44.95% | 89 | 198 |
### MMLUPro
- **Average Accuracy**: 31.60% ± 0.00%
- **Number of Runs**: 1
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 31.60% | 158 | 500 |
### LiveCodeBench
- **Average Accuracy**: 55.58% ± 0.81%
- **Number of Runs**: 3
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 57.14% | 292 | 511 |
| 2 | 54.40% | 278 | 511 |
| 3 | 55.19% | 282 | 511 |
### CodeElo
- **Average Accuracy**: 24.21% ± 0.96%
- **Number of Runs**: 3
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 22.51% | 88 | 391 |
| 2 | 24.30% | 95 | 391 |
| 3 | 25.83% | 101 | 391 |
### JEEBench
- **Average Accuracy**: 66.13% ± 0.40%
- **Number of Runs**: 3
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 65.24% | 336.0 | 515 |
| 2 | 66.21% | 341.0 | 515 |
| 3 | 66.94% | 344.75 | 515 |
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