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Mathematical Reasoning on GSM8K (Accuracy, Spread)

84AccuracyDense
-1.59220.62942.8565.071Jun 1, 2026

Evaluation results

MethodLinks
DenseBackbone=Qwen3-4B-Instruct, Sparsity=Dense2026.0684—
DenseBackbone=Qwen2.5-7B-Instruct, Sparsity=Dense2026.0681.2—
DenseBackbone=Llama-3.1-8B-Instruct, Sparsity=Dense2026.0679.2—
DenseBackbone=Llama-3.2-3B-Instruct, Sparsity=Dense2026.0667.7—
RM-LSBackbone=Llama-3.1-8B-Instruct, Sparsity=12.5%2026.0665.59.2
RM-Cos.Backbone=Llama-3.1-8B-Instruct, Sparsity=12.5%2026.0665.39.2
SL-LayerBackbone=Llama-3.1-8B-Instruct, Sparsity=12.5%2026.0662.39.2
SL-FFNBackbone=Llama-3.1-8B-Instruct, Sparsity=12.5%2026.0662.19.2
SUBFITBackbone=Qwen3-4B-Instruct, Sparsity=12.5%2026.0660.748
SUBFITBackbone=Llama-3.1-8B-Instruct, Sparsity=12.5%2026.0656.39.2
RM-Cos.Backbone=Llama-3.1-8B-Instruct, Sparsity=20%2026.0652.822.2
DenseBackbone=DeepSeek-7B-chat, Sparsity=Dense2026.0651—
SL-LayerBackbone=Llama-3.2-3B-Instruct, Sparsity=12.5%2026.0647.545.3
RM-Cos.Backbone=Llama-3.2-3B-Instruct, Sparsity=12.5%2026.0640.945.3
RM-LSBackbone=Llama-3.2-3B-Instruct, Sparsity=12.5%2026.0640.845.3
RM-LSBackbone=Llama-3.1-8B-Instruct, Sparsity=20%2026.0640.622.2
RM-Cos.Backbone=Qwen3-4B-Instruct, Sparsity=12.5%2026.0639.748
SL-FFNBackbone=Llama-3.1-8B-Instruct, Sparsity=20%2026.0639.722.2
SL-FFNBackbone=Qwen3-4B-Instruct, Sparsity=12.5%2026.0638.548
SL-FFNBackbone=Llama-3.2-3B-Instruct, Sparsity=12.5%2026.0632.145.3
RM-LSBackbone=Qwen2.5-7B-Instruct, Sparsity=12.5%2026.0631.924.6
SL-LayerBackbone=Qwen3-4B-Instruct, Sparsity=12.5%2026.0631.748
SL-LayerBackbone=Llama-3.1-8B-Instruct, Sparsity=20%2026.0631.622.2
SUBFITBackbone=Llama-3.1-8B-Instruct, Sparsity=20%2026.0630.622.2
RM-Cos.Backbone=Qwen2.5-7B-Instruct, Sparsity=12.5%2026.063024.6
SUBFITBackbone=DeepSeek-7B-chat, Sparsity=12.5%2026.0625.43.4
SL-FFNBackbone=DeepSeek-7B-chat, Sparsity=12.5%2026.0624.63.4
RM-LSBackbone=DeepSeek-7B-chat, Sparsity=12.5%2026.0624.23.4
SUBFITBackbone=Qwen2.5-7B-Instruct, Sparsity=12.5%2026.0624.124.6
SL-LayerBackbone=DeepSeek-7B-chat, Sparsity=12.5%2026.0623.13.4
SUBFITBackbone=Qwen3-4B-Instruct, Sparsity=20%2026.062219.7
RM-Cos.Backbone=DeepSeek-7B-chat, Sparsity=12.5%2026.06223.4
RM-Cos.Backbone=Llama-3.1-8B-Instruct, Sparsity=25%2026.0616.713.1
SL-LayerBackbone=Qwen2.5-7B-Instruct, Sparsity=12.5%2026.0616.124.6
SUBFITBackbone=DeepSeek-7B-chat, Sparsity=20%2026.0612.89.5
RM-LSBackbone=Qwen3-4B-Instruct, Sparsity=12.5%2026.0612.748
SL-LayerBackbone=Llama-3.2-3B-Instruct, Sparsity=20%2026.0611.69
RM-LSBackbone=Llama-3.1-8B-Instruct, Sparsity=25%2026.0610.513.1
RM-LSBackbone=DeepSeek-7B-chat, Sparsity=20%2026.069.79.5
SL-LayerBackbone=DeepSeek-7B-chat, Sparsity=20%2026.069.59.5
RM-LSBackbone=Llama-3.2-3B-Instruct, Sparsity=20%2026.069.19
RM-Cos.Backbone=Llama-3.2-3B-Instruct, Sparsity=20%2026.068.59
SUBFITBackbone=Llama-3.1-8B-Instruct, Sparsity=25%2026.068.313.1
SL-FFNBackbone=Qwen2.5-7B-Instruct, Sparsity=12.5%2026.067.324.6
SUBFITBackbone=Qwen2.5-7B-Instruct, Sparsity=20%2026.067.15.1
RM-LSBackbone=Qwen2.5-7B-Instruct, Sparsity=20%2026.066.35.1
RM-Cos.Backbone=Qwen3-4B-Instruct, Sparsity=20%2026.065.619.7
RM-Cos.Backbone=DeepSeek-7B-chat, Sparsity=20%2026.065.29.5
RM-LSBackbone=Llama-3.2-3B-Instruct, Sparsity=25%2026.0653.9
RM-Cos.Backbone=Qwen2.5-7B-Instruct, Sparsity=20%2026.064.55.1
SL-LayerBackbone=Qwen2.5-7B-Instruct, Sparsity=20%2026.064.15.1
SL-FFNBackbone=Qwen3-4B-Instruct, Sparsity=20%2026.06419.7
SL-FFNBackbone=Llama-3.1-8B-Instruct, Sparsity=25%2026.06413.1
SL-LayerBackbone=Llama-3.2-3B-Instruct, Sparsity=25%2026.063.83.9
SUBFITBackbone=Qwen2.5-7B-Instruct, Sparsity=25%2026.063.61.8
SUBFITBackbone=DeepSeek-7B-chat, Sparsity=25%2026.063.62
SL-LayerBackbone=Llama-3.1-8B-Instruct, Sparsity=25%2026.063.613.1
SL-FFNBackbone=Llama-3.2-3B-Instruct, Sparsity=25%2026.063.53.9
SL-FFNBackbone=DeepSeek-7B-chat, Sparsity=20%2026.063.39.5
SUBFITBackbone=DeepSeek-7B-chat, Sparsity=30%2026.063.33.1
RM-Cos.Backbone=Llama-3.2-3B-Instruct, Sparsity=25%2026.063.23.9
RM-LSBackbone=Llama-3.2-3B-Instruct, Sparsity=30%2026.062.91.1
SUBFITBackbone=Qwen3-4B-Instruct, Sparsity=25%2026.062.92.4
SUBFITBackbone=Llama-3.2-3B-Instruct, Sparsity=20%2026.062.79
RM-LSBackbone=Llama-3.1-8B-Instruct, Sparsity=30%2026.062.71.2
SL-FFNBackbone=Llama-3.2-3B-Instruct, Sparsity=20%2026.062.69
RM-Cos.Backbone=Qwen2.5-7B-Instruct, Sparsity=25%2026.062.61.8
RM-Cos.Backbone=Qwen2.5-7B-Instruct, Sparsity=30%2026.062.61.2
RM-Cos.Backbone=Llama-3.1-8B-Instruct, Sparsity=30%2026.062.61.2
SL-LayerBackbone=Qwen3-4B-Instruct, Sparsity=20%2026.062.519.7
RM-LSBackbone=Qwen2.5-7B-Instruct, Sparsity=30%2026.062.51.2
SL-LayerBackbone=Llama-3.2-3B-Instruct, Sparsity=30%2026.062.41.1
RM-Cos.Backbone=Llama-3.2-3B-Instruct, Sparsity=37.5%2026.062.40.6
RM-LSBackbone=Qwen2.5-7B-Instruct, Sparsity=25%2026.062.41.8
SUBFITBackbone=Llama-3.2-3B-Instruct, Sparsity=12.5%2026.062.345.3
RM-LSBackbone=Qwen3-4B-Instruct, Sparsity=20%2026.062.319.7
RM-Cos.Backbone=Qwen3-4B-Instruct, Sparsity=30%2026.062.32.3
RM-Cos.Backbone=DeepSeek-7B-chat, Sparsity=25%2026.062.32
SUBFITBackbone=Qwen3-4B-Instruct, Sparsity=30%2026.062.22.3
RM-Cos.Backbone=Qwen2.5-7B-Instruct, Sparsity=37.5%2026.062.20.9
RM-Cos.Backbone=DeepSeek-7B-chat, Sparsity=37.5%2026.062.22.2
RM-Cos.Backbone=Llama-3.2-3B-Instruct, Sparsity=30%2026.062.11.1
SUBFITBackbone=Llama-3.2-3B-Instruct, Sparsity=37.5%2026.062.10.6
SL-FFNBackbone=Llama-3.2-3B-Instruct, Sparsity=30%2026.0621.1
RM-LSBackbone=Llama-3.2-3B-Instruct, Sparsity=37.5%2026.0620.6
SL-FFNBackbone=Qwen3-4B-Instruct, Sparsity=25%2026.0622.4
RM-LSBackbone=Qwen3-4B-Instruct, Sparsity=25%2026.0622.4
SL-FFNBackbone=Qwen2.5-7B-Instruct, Sparsity=20%2026.0625.1
SL-LayerBackbone=DeepSeek-7B-chat, Sparsity=25%2026.0622
RM-LSBackbone=DeepSeek-7B-chat, Sparsity=25%2026.0622
RM-Cos.Backbone=Llama-3.1-8B-Instruct, Sparsity=37.5%2026.0620.5
SUBFITBackbone=Llama-3.1-8B-Instruct, Sparsity=37.5%2026.0620.5
SL-LayerBackbone=Llama-3.2-3B-Instruct, Sparsity=37.5%2026.061.90.6
SUBFITBackbone=Llama-3.2-3B-Instruct, Sparsity=30%2026.061.81.1
RM-LSBackbone=Qwen3-4B-Instruct, Sparsity=30%2026.061.82.3
SL-FFNBackbone=Qwen2.5-7B-Instruct, Sparsity=25%2026.061.81.8
SL-FFNBackbone=Qwen2.5-7B-Instruct, Sparsity=37.5%2026.061.80.9
SUBFITBackbone=Llama-3.1-8B-Instruct, Sparsity=30%2026.061.81.2
SL-FFNBackbone=Llama-3.2-3B-Instruct, Sparsity=37.5%2026.061.70.6
RM-Cos.Backbone=Qwen3-4B-Instruct, Sparsity=25%2026.061.72.4