README.md

mlfoundations-dev/a1_code_apps_eval_636d

Precomputed model outputs for evaluation.

Evaluation Results

Summary

Metric	AIME24	AMC23	MATH500	MMLUPro	JEEBench	GPQADiamond	LiveCodeBench	CodeElo	CodeForces
Accuracy	19.0	58.5	71.8	28.6	36.6	35.0	29.4	7.1	10.3

AIME24

• Average Accuracy: 19.00% ± 1.16%
• Number of Runs: 10

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

AMC23

• Average Accuracy: 58.50% ± 1.33%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	65.00%	26	40
2	55.00%	22	40
3	57.50%	23	40
4	60.00%	24	40
5	65.00%	26	40
6	60.00%	24	40
7	57.50%	23	40
8	52.50%	21	40
9	60.00%	24	40
10	52.50%	21	40

MATH500

• Accuracy: 71.80%

  Accuracy	Questions Solved	Total Questions
  71.80%	359	500

MMLUPro

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

Run	Accuracy	Questions Solved	Total Questions
1	28.60%	143	500

JEEBench

• Average Accuracy: 36.57% ± 0.18%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	36.99%	190.5	515
2	36.26%	186.75	515
3	36.46%	187.75	515

GPQADiamond

• Average Accuracy: 35.02% ± 1.55%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	31.82%	63	198
2	38.38%	76	198
3	34.85%	69	198

LiveCodeBench

• Average Accuracy: 29.42% ± 1.19%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	29.35%	150	511
2	27.40%	140	511
3	31.51%	161	511

CodeElo

• Average Accuracy: 7.08% ± 0.70%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	6.14%	24	391
2	8.44%	33	391
3	6.65%	26	391

CodeForces

• Average Accuracy: 10.30% ± 1.08%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	12.14%	55	453
2	8.39%	38	453
3	10.38%	47	453