README.md

mlfoundations-dev/a1_math_lap1official_math_eval_636d

Precomputed model outputs for evaluation.

Evaluation Results

Summary

Metric	AIME24	AMC23	MATH500	MMLUPro	JEEBench	GPQADiamond	LiveCodeBench	CodeElo	CodeForces
Accuracy	9.7	41.0	65.2	27.0	23.9	33.2	16.6	2.6	2.7

AIME24

• Average Accuracy: 9.67% ± 1.10%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	13.33%	4	30
2	10.00%	3	30
3	10.00%	3	30
4	3.33%	1	30
5	13.33%	4	30
6	6.67%	2	30
7	13.33%	4	30
8	6.67%	2	30
9	6.67%	2	30
10	13.33%	4	30

AMC23

• Average Accuracy: 41.00% ± 1.55%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	37.50%	15	40
2	37.50%	15	40
3	45.00%	18	40
4	32.50%	13	40
5	45.00%	18	40
6	50.00%	20	40
7	37.50%	15	40
8	40.00%	16	40
9	45.00%	18	40
10	40.00%	16	40

MATH500

• Accuracy: 65.20%

  Accuracy	Questions Solved	Total Questions
  65.20%	326	500

MMLUPro

• Average Accuracy: 27.00% ± 0.00%
• Number of Runs: 1

Run	Accuracy	Questions Solved	Total Questions
1	27.00%	135	500

JEEBench

• Average Accuracy: 23.92% ± 0.34%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	24.76%	127.5	515
2	23.45%	120.75	515
3	23.54%	121.25	515

GPQADiamond

• Average Accuracy: 33.16% ± 0.60%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	33.33%	66	198
2	34.34%	68	198
3	31.82%	63	198

LiveCodeBench

• Average Accuracy: 16.63% ± 0.97%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	16.44%	84	511
2	15.07%	77	511
3	18.40%	94	511

CodeElo

• Average Accuracy: 2.64% ± 0.31%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	3.07%	12	391
2	2.05%	8	391
3	2.81%	11	391

CodeForces

• Average Accuracy: 2.72% ± 0.27%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	3.09%	14	453
2	2.87%	13	453
3	2.21%	10	453