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Benchmarks
Language Modeling on LAMBADA Epoch 2 (Accuracy, Perplexity)
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27.9
LAM Accuracy
NC-FFN + decay (learned γ, λ)
26.34
26.745
27.15
27.555
Jun 30, 2026
LAM Accuracy
LAM Perplexity
Updated 24d ago
Evaluation Results
Method
Method
Links
LAM Accuracy
LAM Perplexity
NC-FFN + decay (learned γ, λ)
Layers=12L, Parameter...
2026.06
27.9
87.6
GELU baseline
Layers=12L, Parameter...
2026.06
27.5
78.1
NC-FFN ({∩, \})
Layers=12L, Parameter...
2026.06
27.3
85.5
NC-FFN + quant (no forgetting)
Layers=12L, Parameter...
2026.06
27.1
94
NC-FFN + decay + gate
Layers=12L, Parameter...
2026.06
26.4
96.3
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