CRUXEval-input-T0.2: by models

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SE predicted by accuracy

The typical standard errors between pairs of models on this dataset as a function of the absolute accuracy.

SE vs accuracy difference

The standard error of each model pair against their observed accuracy difference. Pairs below a reference line differ by more than the corresponding number of standard errors, i.e. they are statistically distinguishable at that level.

CDF of question level accuracy

Results table by model

model pass1 pass@count win_rate count SE(A) SE_x(A) SE_pred(A)
gpt-4-turbo-2024-04-09+cot 75.7 85.5 36.1 2.7 1.5 NaN NaN
gpt-4o+cot 75.6 83.6 35.5 2.7 1.5 NaN NaN
gpt-4-0613+cot 75.5 91.6 35.4 10 1.5 1.2 0.93
claude-3-opus-20240229+cot 73.4 73.4 34.4 1 1.6 NaN NaN
gpt-4-0613 69.8 74.2 30.7 10 1.6 1.6 0.45
gpt-4-turbo-2024-04-09 68.5 71.9 29.5 3 1.6 1.6 0.53
gpt-4o 65.1 68.1 27.4 3 1.7 1.6 0.52
claude-3-opus-20240229 64.2 64.2 27.6 1 1.7 NaN NaN
gpt-3.5-turbo-0613+cot 50.3 77.8 19.7 10 1.8 1.3 1.2
codellama-34b+cot 50.1 70.5 18.8 10 1.8 1.5 0.98
codetulu-2-34b 49.2 60.5 16.5 10 1.8 1.6 0.73
gpt-3.5-turbo-0613 49 57 17.4 10 1.8 1.7 0.58
codellama-13b+cot 47.4 65.8 16.9 10 1.8 1.5 0.89
codellama-34b 47.2 59.2 15.3 10 1.8 1.6 0.74
phind 47.2 56.1 16 10 1.8 1.6 0.65
deepseek-base-33b 46.5 58 14.9 10 1.8 1.6 0.75
deepseek-instruct-33b 46.5 57 15.5 10 1.8 1.6 0.69
codellama-python-34b 43.9 56.4 13.9 10 1.8 1.6 0.74
wizard-34b 42.7 51.5 13.7 10 1.7 1.6 0.63
codellama-13b 42.5 54.9 12.9 10 1.7 1.6 0.8
deepseek-base-6.7b 41.9 54.4 12.8 10 1.7 1.6 0.74
magicoder-ds-7b 41.7 51.1 12.6 10 1.7 1.6 0.66
codellama-7b+cot 40.4 62 14.1 10 1.7 1.4 1
codellama-python-13b 39.7 53.1 11.6 10 1.7 1.5 0.79
mixtral-8x7b 39.3 53.1 12 10 1.7 1.5 0.79
deepseek-instruct-6.7b 37.4 46 10.8 10 1.7 1.6 0.64
codellama-python-7b 37.3 48.4 10.9 10 1.7 1.6 0.69
wizard-13b 36.5 45.9 10.4 10 1.7 1.6 0.63
codellama-7b 36 47.5 10.1 10 1.7 1.5 0.72
mistral-7b 35 46.9 9.81 10 1.7 1.5 0.73
phi-2 31.6 44.4 9.38 10 1.6 1.5 0.74
starcoderbase-16b 31.3 44 8.28 10 1.6 1.5 0.74
starcoderbase-7b 29.7 40.6 7.63 10 1.6 1.5 0.69
deepseek-base-1.3b 27.8 37.2 7.34 10 1.6 1.5 0.63
deepseek-instruct-1.3b 27.2 35 7.74 10 1.6 1.5 0.58
phi-1.5 23.2 36 7.8 10 1.5 1.3 0.74
phi-1 13.1 17.6 3.66 10 1.2 1.1 0.44