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Language Modeling on AG News (val)

18.19PerplexityBlock Diffusion + Gumbel Distillation
14.988836.596958.20579.8131Jun 2, 2025Jul 31, 2025Sep 29, 2025Nov 27, 2025Jan 26, 2026Mar 26, 2026May 25, 2026

Evaluation results

MethodLinks
Block Diffusion + Gumbel DistillationTraining Dataset=OWT, Evaluation Protocol=Zero-shot2026.0318.19
MDLM + Gumbel DistillationTraining Dataset=OWT, Evaluation Protocol=Zero-shot2026.0320.03
MDM-Prime-v2zero-shot=true, ℓ=16, variant=*2026.0327.79
MDM-Prime-v2zero-shot=true, ℓ=162026.0333.72
ARMzero-shot=true, variant=*2026.0339.35
MDM-Primezero-shot=true, ℓ=6, variant=*2026.0348.09
MDMzero-shot=true, variant=*2026.0351.44
ARMzero-shot=true2026.0352.09
ARParam=0.1B, Evaluation Protocol=Zero-shot2026.0552.11
AR TransformerTraining steps=250K, Training Dataset=OWT, Zero-shot=true2025.0655.53
LoopMDMS (inference-time loop count)=12, Zero-shot protocol=true, Model parameters=170M2026.0556.6
EDLM-coARzero-shot=true2026.0357.94
LoopMDMS (inference-time loop count)=6, Zero-shot protocol=true, Model parameters=170M2026.0559.2
MDM-Primezero-shot=true, ℓ=42026.0359.44
DCDMParam=0.1B, Training Tokens=128B, Evaluation Protocol=Zero-shot2026.0559.85
EDLM-NCEzero-shot=true2026.0360.02
MDM-Primezero-shot=true, ℓ=62026.0360.16
MDMzero-shot=true2026.0361.15
BD3-LMzero-shot=true2026.0361.67
BDLMParam=0.1B, Training Tokens=256B, Evaluation Protocol=Zero-shot2026.0561.67
BD3-LMTraining steps=250K, Training Dataset=OWT, Zero-shot=true, L'=162025.0661.68
SEDDzero-shot=true2026.0362.09
MDLMParam=0.1B, Training Tokens=256B, Evaluation Protocol=Zero-shot2026.0562.78
Block DiffusionTraining Dataset=OWT, Evaluation Protocol=Zero-shot2026.0363.09
MDM-Primezero-shot=true, ℓ=22026.0363.21
MDM-Primezero-shot=true, ℓ=82026.0364.89
Eso-LMsTraining steps=250K, Training Dataset=OWT, Zero-shot=true, alpha_0=0.1252025.0665.26
MDLMTraining Dataset=OWT, Evaluation Protocol=Zero-shot2026.0365.32
Duozero-shot=true2026.0367.81
MDMZero-shot protocol=true, Model parameters=170M2026.0569.3
MDLMTraining steps=250K, Training Dataset=OWT, Zero-shot=true2025.0671.37
SEDD AbsorbTraining steps=250K, Training Dataset=OWT, Zero-shot=true2025.0672.62
Eso-LMsTraining steps=250K, Training Dataset=OWT, Zero-shot=true, alpha_0=0.252025.0675.74
Eso-LMsTraining steps=250K, Training Dataset=OWT, Zero-shot=true, alpha_0=0.52025.0686.65
LoopMDMS (inference-time loop count)=1, Zero-shot protocol=true, Model parameters=170M2026.0587.8
Eso-LMsTraining steps=250K, Training Dataset=OWT, Zero-shot=true, alpha_0=12025.0698.22