README.md

mlfoundations-dev/a1_code_primeintellect_stack_exchange_1744623234_eval_1331

Precomputed model outputs for evaluation.

Evaluation Results

Summary

Metric	AIME24	AMC23	MATH500	GPQADiamond	JEEBench	MMLUPro	LiveCodeBench	CodeElo
Accuracy	14.0	53.2	76.0	33.2	30.4	25.8	8.9	3.0

AIME24

• Average Accuracy: 14.00% ± 1.48%
• Number of Runs: 10

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

AMC23

• Average Accuracy: 53.25% ± 1.73%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	40.00%	16	40
2	57.50%	23	40
3	55.00%	22	40
4	52.50%	21	40
5	60.00%	24	40
6	47.50%	19	40
7	57.50%	23	40
8	55.00%	22	40
9	55.00%	22	40
10	52.50%	21	40

MATH500

• Accuracy: 76.00%

  Accuracy	Questions Solved	Total Questions
  76.00%	380	500

GPQADiamond

• Average Accuracy: 33.16% ± 0.36%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	33.33%	66	198
2	32.32%	64	198
3	33.84%	67	198

JEEBench

• Average Accuracy: 30.36% ± 0.37%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	29.66%	152.75	515
2	31.21%	160.75	515
3	30.19%	155.5	515

MMLUPro

• Average Accuracy: 25.80% ± 0.00%
• Number of Runs: 1

Run	Accuracy	Questions Solved	Total Questions
1	25.80%	129	500

LiveCodeBench

• Average Accuracy: 8.94% ± 1.07%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	9.59%	49	511
2	6.85%	35	511
3	10.37%	53	511

CodeElo

• Average Accuracy: 2.98% ± 0.31%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	2.81%	11	391
2	2.56%	10	391
3	3.58%	14	391