README.md

mlfoundations-dev/a1_code_share_gpt_code_1744693069_eval_1331

Precomputed model outputs for evaluation.

Evaluation Results

Summary

Metric	AIME24	AMC23	MATH500	GPQADiamond	JEEBench	MMLUPro	LiveCodeBench	CodeElo
Accuracy	13.3	55.2	70.6	41.4	36.4	27.8	34.8	7.8

AIME24

• Average Accuracy: 13.33% ± 1.15%
• Number of Runs: 10

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

AMC23

• Average Accuracy: 55.25% ± 2.08%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	65.00%	26	40
2	47.50%	19	40
3	52.50%	21	40
4	42.50%	17	40
5	60.00%	24	40
6	60.00%	24	40
7	57.50%	23	40
8	50.00%	20	40
9	57.50%	23	40
10	60.00%	24	40

MATH500

• Accuracy: 70.60%

  Accuracy	Questions Solved	Total Questions
  70.60%	353	500

GPQADiamond

• Average Accuracy: 41.41% ± 1.43%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	44.44%	88	198
2	41.41%	82	198
3	38.38%	76	198

JEEBench

• Average Accuracy: 36.41% ± 0.40%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	36.99%	190.5	515
2	35.44%	182.5	515
3	36.80%	189.5	515

MMLUPro

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

Run	Accuracy	Questions Solved	Total Questions
1	27.80%	139	500

LiveCodeBench

• Average Accuracy: 34.77% ± 0.96%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	36.40%	186	511
2	34.83%	178	511
3	33.07%	169	511

CodeElo

• Average Accuracy: 7.76% ± 0.89%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	7.93%	31	391
2	6.14%	24	391
3	9.21%	36	391