README.md

mlfoundations-dev/a1_math_college_math_eval_636d

Precomputed model outputs for evaluation.

Evaluation Results

Summary

Metric	AIME24	AMC23	MATH500	MMLUPro	JEEBench	GPQADiamond	LiveCodeBench	CodeElo	CodeForces
Accuracy	20.0	59.2	75.4	28.0	42.5	36.5	2.4	2.0	2.8

AIME24

• Average Accuracy: 20.00% ± 1.70%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	26.67%	8	30
2	23.33%	7	30
3	20.00%	6	30
4	10.00%	3	30
5	23.33%	7	30
6	20.00%	6	30
7	10.00%	3	30
8	23.33%	7	30
9	20.00%	6	30
10	23.33%	7	30

AMC23

• Average Accuracy: 59.25% ± 1.50%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	57.50%	23	40
2	65.00%	26	40
3	57.50%	23	40
4	67.50%	27	40
5	60.00%	24	40
6	50.00%	20	40
7	55.00%	22	40
8	62.50%	25	40
9	57.50%	23	40
10	60.00%	24	40

MATH500

• Accuracy: 75.40%

  Accuracy	Questions Solved	Total Questions
  75.40%	377	500

MMLUPro

• Average Accuracy: 28.00% ± 0.00%
• Number of Runs: 1

Run	Accuracy	Questions Solved	Total Questions
1	28.00%	140	500

JEEBench

• Average Accuracy: 42.48% ± 0.56%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	43.59%	224.5	515
2	41.21%	212.25	515
3	42.62%	219.5	515

GPQADiamond

• Average Accuracy: 36.53% ± 1.37%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	34.85%	69	198
2	39.90%	79	198
3	34.85%	69	198

LiveCodeBench

• Average Accuracy: 2.41% ± 0.07%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	2.54%	13	511
2	2.35%	12	511
3	2.35%	12	511

CodeElo

• Average Accuracy: 2.05% ± 0.30%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	2.56%	10	391
2	2.05%	8	391
3	1.53%	6	391

CodeForces

• Average Accuracy: 2.80% ± 0.37%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	3.53%	16	453
2	2.43%	11	453
3	2.43%	11	453