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Zero-shot Commonsense Reasoning on Commonsense Reasoning Benchmarks (LLaMA-2-13B)

80.92BoolQ Accuracy (Zero-shot)

Dense

61.4266.482571.54576.6075Dec 8, 2025
Updated 1mo ago

Evaluation Results

MethodLinks
2025.12
80.9280.5279.3671.9879.6349.154569.51
2025.12
80.3778.4577.0771.5175.8445.1443.667.43
2025.12
80.1878.6277.7872.2278.9648.044568.69
2025.12
80.0978.5677.8271.0377.5747.9544.268.17
2025.12
79.7977.1576.0771.3577.4447.354467.65
2025.12
79.7677.0474.5671.0371.7245.224265.9
2025.12
78.7877.9175.6570.6473.0644.114366.16
2025.12
77.2177.9578.0671.3276.4445.274266.89
2025.12
76.2979.5576.5368.5776.8544.574266.33
2025.12
76.2776.4472.7670.870.8341.214164.19
2025.12
75.8175.6174.7469.5973.8343.574164.88
2025.12
74.3774.4270.4568.1770.2242.2939.262.73
2025.12
74.3170.4958.3962.9661.6736.8337.257.41
2025.12
73.8278.4775.8267.7875.4242.9542.465.24
2025.12
70.376.7471.6763.6571.0839.9642.662.29
2025.12
66.0673.6161.7665.8260.4434.393857.15
2025.12
62.1769.2249.8855.0759.2629.6336.251.93