README.md

mlfoundations-dev/a1_science_cqadupstack_eval_636d

Precomputed model outputs for evaluation.

Evaluation Results

Summary

Metric	AIME24	AMC23	MATH500	MMLUPro	JEEBench	GPQADiamond	LiveCodeBench	CodeElo	CodeForces
Accuracy	18.7	60.0	77.0	28.8	45.4	42.8	12.2	4.4	5.7

AIME24

• Average Accuracy: 18.67% ± 1.26%
• Number of Runs: 10

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

AMC23

• Average Accuracy: 60.00% ± 1.73%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	65.00%	26	40
2	50.00%	20	40
3	55.00%	22	40
4	62.50%	25	40
5	60.00%	24	40
6	55.00%	22	40
7	67.50%	27	40
8	60.00%	24	40
9	67.50%	27	40
10	57.50%	23	40

MATH500

• Accuracy: 77.00%

  Accuracy	Questions Solved	Total Questions
  77.00%	385	500

MMLUPro

• Average Accuracy: 28.80% ± 0.00%
• Number of Runs: 1

Run	Accuracy	Questions Solved	Total Questions
1	28.80%	144	500

JEEBench

• Average Accuracy: 45.42% ± 0.17%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	45.00%	231.75	515
2	45.63%	235.0	515
3	45.63%	235.0	515

GPQADiamond

• Average Accuracy: 42.76% ± 1.82%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	41.92%	83	198
2	46.97%	93	198
3	39.39%	78	198

LiveCodeBench

• Average Accuracy: 12.20% ± 0.43%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	12.52%	64	511
2	11.35%	58	511
3	12.72%	65	511

CodeElo

• Average Accuracy: 4.43% ± 0.60%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	5.37%	21	391
2	4.60%	18	391
3	3.32%	13	391

CodeForces

• Average Accuracy: 5.67% ± 0.57%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	4.64%	21	453
2	5.74%	26	453
3	6.62%	30	453