README.md

mlfoundations-dev/a1_math_formulas_eval_636d

Precomputed model outputs for evaluation.

Evaluation Results

Summary

Metric	AIME24	AMC23	MATH500	MMLUPro	JEEBench	GPQADiamond	LiveCodeBench	CodeElo	CodeForces
Accuracy	21.3	61.3	79.0	29.8	37.1	41.8	18.0	6.3	6.5

AIME24

• Average Accuracy: 21.33% ± 1.65%
• Number of Runs: 10

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

AMC23

• Average Accuracy: 61.25% ± 1.13%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	62.50%	25	40
2	55.00%	22	40
3	60.00%	24	40
4	57.50%	23	40
5	67.50%	27	40
6	65.00%	26	40
7	62.50%	25	40
8	57.50%	23	40
9	62.50%	25	40
10	62.50%	25	40

MATH500

• Accuracy: 79.00%

  Accuracy	Questions Solved	Total Questions
  79.00%	395	500

MMLUPro

• Average Accuracy: 29.80% ± 0.00%
• Number of Runs: 1

Run	Accuracy	Questions Solved	Total Questions
1	29.80%	149	500

JEEBench

• Average Accuracy: 37.07% ± 0.66%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	36.65%	188.75	515
2	35.92%	185.0	515
3	38.64%	199.0	515

GPQADiamond

• Average Accuracy: 41.75% ± 0.50%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	42.93%	85	198
2	40.91%	81	198
3	41.41%	82	198

LiveCodeBench

• Average Accuracy: 18.00% ± 1.33%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	19.96%	102	511
2	18.59%	95	511
3	15.46%	79	511

CodeElo

• Average Accuracy: 6.31% ± 0.34%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	6.65%	26	391
2	6.65%	26	391
3	5.63%	22	391

CodeForces

• Average Accuracy: 6.55% ± 0.39%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	5.96%	27	453
2	6.40%	29	453
3	7.28%	33	453