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Benchmarks
Commonsense Reasoning on HellaSwag (Accuracy and Pruning Analysis)
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60
Accuracy
Unpruned
20.48
30.74
41
51.26
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
60
0
SCAR-Prot
Backbone=Llama-3.1-8B,...
2026.04
37
0
Act. L2
Backbone=Llama-3.1-8B,...
2026.04
35
19.6
SCAR-LP
Backbone=Llama-3.1-8B,...
2026.04
35
0
SCAR-Conn
Backbone=Llama-3.1-8B,...
2026.04
34
0
Magnitude (channel)
Backbone=Llama-3.1-8B,...
2026.04
27
41.7
Wanda (channel)
Backbone=Llama-3.1-8B,...
2026.04
26
24.3
SparseGPT (channel)
Backbone=Llama-3.1-8B,...
2026.04
22
34.6
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