Text Classification on IMDB (test) (Accuracy) benchmark leaderboard · SOTA2 Research

Text Classification on IMDB (test) (Accuracy)

95.38AccuracyMoLAM

Evaluation Results

Method	Links
MoLAM2026.01		95.38
MoL2026.01		95.34
YI2026.01		95.03
FixMatch2026.01		94.9
SNAIL2026.01		94.89
NoiseAL2025.04		94.6
NoiseAL2025.04		94.56
NoiseAL2025.04		94.52
NoiseAL2025.04		94.28
Logits-based2026.01		94.21
Vote-based2026.01		94.18
DyGen2025.04		94.05
QWEN2026.01		94.03
Co-Teaching2025.04		93.94
SelfMix2025.04		93.78
NoiseAL2025.04		93.76
SCE2025.04		93.74
GEMMA2026.01		93.73
NoiseAL2025.04		93.72
SelfMix2025.04		93.62
CL2025.04		93.56
ELR2025.04		93.52
CL2025.04		93.49
BERT2025.04		93.24
PAG2026.01		93.22
CL2025.04		93.15
ELR2025.04		92.95
ELR2025.04		92.86
Co-Teaching2025.04		92.66
Co-Teaching2025.04		92.62
SelfMix2025.04		92.34
BERT-base w/ NS-LF2026.04		92.2
SelfMix2025.04		92.08
DA2026.01		92.06
SelfMix2025.04		91.94
RoBERTa2025.04		91.9
BERT-base2026.04		91.8
LLAMA2026.01		91.72
SCE2025.04		91.2
RoBERTa2025.04		91.02
DyGen2025.04		90.46
DyGen2025.04		90.4
CL2025.04		90.28
NoiseAL2025.04		90.25
Co-Teaching2025.04		90.11
Co-Teaching2025.04		90.03
SCPL2026.01		89.84
BP2026.01		89.68
DyGen2025.04		89.53
Co-Teaching2025.04		89.32
ELR2025.04		89.29
CL2025.04		89.24
SCPL2026.01		89.03
ELR2025.04		88.83
MISTRAL2026.01		88.35
SCE2025.04		88
CL2025.04		87.97
ELR2025.04		87.85
BP2026.01		87.54
SCE2025.04		87.4
AL2026.01		86.41
RoBERTa2025.04		86.37
SCE2025.04		86.21
SCE2025.04		86.2
AL2026.01		85.65
SelfMix2025.04		85.61
DyGen2025.04		84.53
Early Exit2026.01		84.34
DyGen2025.04		84.31
RoBERTa2025.04		82.69
SelfMix2025.04		80.94
RoBERTa2025.04		80.78
Co-Teaching2025.04		80.65
DyGen2025.04		80.28
Early Exit2026.01		80.24
CL2025.04		78.84
ELR2025.04		77.37
TextCNN w/ NS-LF2026.04		76.6
SCE2025.04		76.22
TextCNN2026.04		75.6
RoBERTa2025.04		73.35