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Zero-shot Prediction on Winogrande

69.06AccuracyDense
60.68862.861565.03567.2085Oct 2, 2025

Evaluation results

MethodLinks
DenseSparsity=0%, Backbone=LLaMA-2-7B, Zero-shot=true2025.1069.06
SparseGPTSparsity=4:8, Backbone=LLaMA-2-7B, Zero-shot=true2025.1068.11
ALPSSparsity=2:4, Backbone=LLaMA-2-7B, Zero-shot=true2025.1067.25
L-ADMMSparsity=4:8, Backbone=LLaMA-2-7B, Zero-shot=true2025.1067.17
WandaSparsity=4:8, Backbone=LLaMA-2-7B, Zero-shot=true2025.1066.93
SparseLLMSparsity=4:8, Backbone=LLaMA-2-7B, Zero-shot=true2025.1066.46
SparseGPTSparsity=2:4, Backbone=LLaMA-2-7B, Zero-shot=true2025.1066.38
L-ADMMSparsity=2:4, Backbone=LLaMA-2-7B, Zero-shot=true2025.1066.38
ALPSSparsity=4:8, Backbone=LLaMA-2-7B, Zero-shot=true2025.1065.98
SparseLLMSparsity=2:4, Backbone=LLaMA-2-7B, Zero-shot=true2025.1065.82
SAFESparsity=4:8, Backbone=LLaMA-2-7B, Zero-shot=true2025.1065.04
ELSASparsity=2:4, Backbone=LLaMA-2-7B, Zero-shot=true2025.1063.85
ELSASparsity=4:8, Backbone=LLaMA-2-7B, Zero-shot=true2025.1063.22
WandaSparsity=2:4, Backbone=LLaMA-2-7B, Zero-shot=true2025.1062.51
MagnitudeSparsity=4:8, Backbone=LLaMA-2-7B, Zero-shot=true2025.1062.19
SAFESparsity=2:4, Backbone=LLaMA-2-7B, Zero-shot=true2025.1061.8
MagnitudeSparsity=2:4, Backbone=LLaMA-2-7B, Zero-shot=true2025.1061.01