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Long-context language modeling on InfiniteBench (Accuracy and Sparsity)

46.19Code Debug Accuracy

Fast-dLLM v2

-1.847610.623723.09535.5663Feb 26, 2026Mar 15, 2026Apr 1, 2026Apr 18, 2026May 5, 2026May 22, 2026Jun 9, 2026
Updated 1mo ago

Evaluation Results

MethodLinks
2026.06
46.19-----------24.29-27.12-27.12-30.32-057.21
2026.02
24.41791.7816.692.227.192.251291.51191.0690.9634.391.5498.693.999.893.8237.992.11--
2026.02
24.116.7018.7027.1013.5013.20033.1099.3099.3038.30--
2026.02
23.41871.0616.571.3222.371.2813.572.47868.3173.0332.970.7599.868.9299.568.5637.170.63--
2026.02
22.817.975.3919.275.7824.575.711.577.0912.772.9277.6632.975.1383.174.1599.273.763675.29--
2026.02
21.816.785.9117.885.2324.585.3412.584.1611.384.883.7632.886.8210087.698.885.137.485.41--
2026.02
2016.466.311.967.0141.566.9716.569.143.766.6971.4730.661.8910062.298162.1234.665.99--
2026.02
2017.590.85290.8944.589.82886.693.886.6387.4532.387.3610085.5499.790.3338.688.39--
2026.02
18.51802.2048.9027.503.80031.70100096.9038.60--
2026.06
18.02-----------24.57-95.42-70-43.62-053.71
2026.02
17.21877.31.974.6847.674.7330.576.493.874.2478.0633.770.9810071.7510072.0939.275.04--
2026.02
1714.982.51.982.664584.941683.293.983.2885.813481.6499.881.819982.3736.883.14--
2026.06
8.38-----------3.43-0.17-3.05-3.96-08.73
2026.06
7.87-----------3.43-0-0-2.9-06.11
2026.06
3.81-----------3.43-39.32-25.59-12.24-01.31
2026.06
3.05-----------4-0.51-0-2.21-05.68
2026.06
1.52-----------7.43-8.14-2.37-4.12-05.24
2026.06
1.52-----------26-13.22-30-14.19-014.41
2026.06
0.85-----------19.15-10.81-1.72-7.1-010.09
2026.06
0.25-----------14.29-16.1-6.61-7.52-07.86
2026.06
0.25-----------16-5.59-7.12-6.21-08.3
2026.06
0-----------34.57-1.69-2.54-12.44-035.81