README.md

mlfoundations-dev/a1_code_glaive_1744691283_eval_1331

Precomputed model outputs for evaluation.

Evaluation Results

Summary

Metric	AIME24	AMC23	MATH500	GPQADiamond	JEEBench	MMLUPro	LiveCodeBench	CodeElo
Accuracy	16.3	56.2	74.0	40.7	41.3	28.6	33.2	7.2

AIME24

• Average Accuracy: 16.33% ± 0.88%
• Number of Runs: 10

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

AMC23

• Average Accuracy: 56.25% ± 1.81%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	57.50%	23	40
2	62.50%	25	40
3	55.00%	22	40
4	70.00%	28	40
5	52.50%	21	40
6	50.00%	20	40
7	55.00%	22	40
8	55.00%	22	40
9	50.00%	20	40
10	55.00%	22	40

MATH500

• Accuracy: 74.00%

  Accuracy	Questions Solved	Total Questions
  74.00%	370	500

GPQADiamond

• Average Accuracy: 40.74% ± 1.22%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	37.88%	75	198
2	41.41%	82	198
3	42.93%	85	198

JEEBench

• Average Accuracy: 41.28% ± 0.28%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	41.12%	211.75	515
2	40.78%	210.0	515
3	41.94%	216.0	515

MMLUPro

• Average Accuracy: 28.60% ± 0.00%
• Number of Runs: 1

Run	Accuracy	Questions Solved	Total Questions
1	28.60%	143	500

LiveCodeBench

• Average Accuracy: 33.20% ± 0.43%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	32.88%	168	511
2	34.05%	174	511
3	32.68%	167	511

CodeElo

• Average Accuracy: 7.16% ± 0.82%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	8.44%	33	391
2	5.63%	22	391
3	7.42%	29	391