# mlfoundations-dev/fig1_all_bespoke_stratos_eval_2e29

Precomputed model outputs for evaluation.

## Evaluation Results

### Summary

| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces | LiveCodeBenchv5 | AIME25 | HLE |
|--------|------|-----|-------|-------|--------|-----------|-------------|-------|----------|---------------|------|---|
| Accuracy | 23.7 | 67.8 | 78.6 | 29.4 | 44.8 | 42.4 | 39.9 | 13.5 | 15.2 | 30.3 | 21.0 | 1.7 |

### AIME24

- **Average Accuracy**: 23.67% ± 1.79%
- **Number of Runs**: 10

| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 26.67% | 8 | 30 |
| 2 | 16.67% | 5 | 30 |
| 3 | 36.67% | 11 | 30 |
| 4 | 20.00% | 6 | 30 |
| 5 | 16.67% | 5 | 30 |
| 6 | 26.67% | 8 | 30 |
| 7 | 20.00% | 6 | 30 |
| 8 | 23.33% | 7 | 30 |
| 9 | 23.33% | 7 | 30 |
| 10 | 26.67% | 8 | 30 |

### AMC23

- **Average Accuracy**: 67.75% ± 1.48%
- **Number of Runs**: 10

| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 62.50% | 25 | 40 |
| 2 | 67.50% | 27 | 40 |
| 3 | 80.00% | 32 | 40 |
| 4 | 65.00% | 26 | 40 |
| 5 | 67.50% | 27 | 40 |
| 6 | 65.00% | 26 | 40 |
| 7 | 65.00% | 26 | 40 |
| 8 | 70.00% | 28 | 40 |
| 9 | 70.00% | 28 | 40 |
| 10 | 65.00% | 26 | 40 |

### MATH500

- **Accuracy**: 78.60%
| Accuracy | Questions Solved | Total Questions |
|----------|-----------------|----------------|
| 78.60% | 393 | 500 |

### MMLUPro

- **Average Accuracy**: 29.40% ± 0.00%
- **Number of Runs**: 1

| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 29.40% | 147 | 500 |

### JEEBench

- **Average Accuracy**: 44.82% ± 0.47%
- **Number of Runs**: 3

| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 44.17% | 227.5 | 515 |
| 2 | 44.32% | 228.25 | 515 |
| 3 | 45.97% | 236.75 | 515 |

### GPQADiamond

- **Average Accuracy**: 42.42% ± 1.33%
- **Number of Runs**: 3

| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 39.39% | 78 | 198 |
| 2 | 42.93% | 85 | 198 |
| 3 | 44.95% | 89 | 198 |

### LiveCodeBench

- **Average Accuracy**: 39.92% ± 0.41%
- **Number of Runs**: 3

| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 40.70% | 208 | 511 |
| 2 | 39.33% | 201 | 511 |
| 3 | 39.73% | 203 | 511 |

### CodeElo

- **Average Accuracy**: 13.47% ± 1.33%
- **Number of Runs**: 3

| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 11.25% | 44 | 391 |
| 2 | 15.86% | 62 | 391 |
| 3 | 13.30% | 52 | 391 |

### CodeForces

- **Average Accuracy**: 15.23% ± 1.00%
- **Number of Runs**: 3

| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 14.35% | 65 | 453 |
| 2 | 17.22% | 78 | 453 |
| 3 | 14.13% | 64 | 453 |

### LiveCodeBenchv5

- **Average Accuracy**: 30.26% ± 1.01%
- **Number of Runs**: 3

| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 29.54% | 109 | 369 |
| 2 | 32.25% | 119 | 369 |
| 3 | 29.00% | 107 | 369 |

### AIME25

- **Average Accuracy**: 21.00% ± 1.06%
- **Number of Runs**: 10

| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 16.67% | 5 | 30 |
| 2 | 26.67% | 8 | 30 |
| 3 | 20.00% | 6 | 30 |
| 4 | 16.67% | 5 | 30 |
| 5 | 20.00% | 6 | 30 |
| 6 | 16.67% | 5 | 30 |
| 7 | 23.33% | 7 | 30 |
| 8 | 23.33% | 7 | 30 |
| 9 | 23.33% | 7 | 30 |
| 10 | 23.33% | 7 | 30 |

### HLE

- **Average Accuracy**: 1.69% ± 0.14%
- **Number of Runs**: 3

| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 1.95% | 10 | 512 |
| 2 | 1.76% | 9 | 512 |
| 3 | 1.37% | 7 | 512 |