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Benchmarks
Physical Commonsense Reasoning on PIQA (Accuracy and Supernodes Pruned)
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84
Accuracy
Unpruned
49.68
58.59
67.5
76.41
Apr 26, 2026
Accuracy
Supernodes Pruned (%)
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
Supernodes Pruned (%)
Unpruned
Backbone=Llama-3.1-8B
2026.04
84
0
SCAR-LP
Backbone=Llama-3.1-8B,...
2026.04
64
0
SCAR-Conn
Backbone=Llama-3.1-8B,...
2026.04
64
0
SCAR-Prot
Backbone=Llama-3.1-8B,...
2026.04
63
0
Act. L2
Backbone=Llama-3.1-8B,...
2026.04
61
19.6
Wanda (channel)
Backbone=Llama-3.1-8B,...
2026.04
56
24.3
SparseGPT (channel)
Backbone=Llama-3.1-8B,...
2026.04
56
34.6
Magnitude (channel)
Backbone=Llama-3.1-8B,...
2026.04
51
41.7
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