README.md

mlfoundations-dev/a1_math_automathtext_eval_636d

Precomputed model outputs for evaluation.

Evaluation Results

Summary

Metric	AIME24	AMC23	MATH500	MMLUPro	JEEBench	GPQADiamond	LiveCodeBench	CodeElo	CodeForces
Accuracy	22.3	62.7	81.4	29.4	47.3	46.0	15.9	3.8	6.3

AIME24

• Average Accuracy: 22.33% ± 1.42%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	20.00%	6	30
2	20.00%	6	30
3	20.00%	6	30
4	26.67%	8	30
5	30.00%	9	30
6	23.33%	7	30
7	13.33%	4	30
8	26.67%	8	30
9	20.00%	6	30
10	23.33%	7	30

AMC23

• Average Accuracy: 62.75% ± 0.90%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	60.00%	24	40
2	60.00%	24	40
3	57.50%	23	40
4	62.50%	25	40
5	65.00%	26	40
6	62.50%	25	40
7	65.00%	26	40
8	65.00%	26	40
9	67.50%	27	40
10	62.50%	25	40

MATH500

• Accuracy: 81.40%

  Accuracy	Questions Solved	Total Questions
  81.40%	407	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: 47.27% ± 0.49%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	48.40%	249.25	515
2	46.36%	238.75	515
3	47.04%	242.25	515

GPQADiamond

• Average Accuracy: 45.96% ± 1.56%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	42.42%	84	198
2	46.46%	92	198
3	48.99%	97	198

LiveCodeBench

• Average Accuracy: 15.92% ± 1.70%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	17.81%	91	511
2	17.42%	89	511
3	12.52%	64	511

CodeElo

• Average Accuracy: 3.84% ± 0.59%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	4.86%	19	391
2	2.81%	11	391
3	3.84%	15	391

CodeForces

• Average Accuracy: 6.25% ± 0.37%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	5.52%	25	453
2	6.62%	30	453
3	6.62%	30	453