README.md

mlfoundations-dev/a1_math_baai_infinity_math_eval_636d

Precomputed model outputs for evaluation.

Evaluation Results

Summary

Metric	AIME24	AMC23	MATH500	MMLUPro	JEEBench	GPQADiamond	LiveCodeBench	CodeElo	CodeForces
Accuracy	14.7	53.2	74.8	27.8	33.7	39.4	15.5	2.5	4.1

AIME24

• Average Accuracy: 14.67% ± 1.58%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	13.33%	4	30
2	13.33%	4	30
3	20.00%	6	30
4	13.33%	4	30
5	10.00%	3	30
6	16.67%	5	30
7	23.33%	7	30
8	20.00%	6	30
9	10.00%	3	30
10	6.67%	2	30

AMC23

• Average Accuracy: 53.25% ± 1.28%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	55.00%	22	40
2	52.50%	21	40
3	57.50%	23	40
4	45.00%	18	40
5	55.00%	22	40
6	52.50%	21	40
7	50.00%	20	40
8	55.00%	22	40
9	50.00%	20	40
10	60.00%	24	40

MATH500

• Accuracy: 74.80%

  Accuracy	Questions Solved	Total Questions
  74.80%	374	500

MMLUPro

• Average Accuracy: 27.80% ± 0.00%
• Number of Runs: 1

Run	Accuracy	Questions Solved	Total Questions
1	27.80%	139	500

JEEBench

• Average Accuracy: 33.67% ± 0.27%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	34.03%	175.25	515
2	33.98%	175.0	515
3	33.01%	170.0	515

GPQADiamond

• Average Accuracy: 39.39% ± 0.24%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	39.90%	79	198
2	39.39%	78	198
3	38.89%	77	198

LiveCodeBench

• Average Accuracy: 15.46% ± 0.68%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	16.63%	85	511
2	15.46%	79	511
3	14.29%	73	511

CodeElo

• Average Accuracy: 2.47% ± 0.31%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	3.07%	12	391
2	2.05%	8	391
3	2.30%	9	391

CodeForces

• Average Accuracy: 4.12% ± 0.15%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	3.97%	18	453
2	4.42%	20	453
3	3.97%	18	453