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Text Classification on IMDB (test) (Accuracy)

95.38AccuracyMoLAM
72.468878.416984.36590.3131Apr 3, 2025Jun 4, 2025Aug 6, 2025Oct 8, 2025Dec 9, 2025Feb 10, 2026Apr 14, 2026

Evaluation results

MethodLinks
MoLAMMethod Category=Others2026.0195.38
MoLMethod Category=Others2026.0195.34
YIMethod Category=Single LLM2026.0195.03
FixMatchMethod Category=Others2026.0194.9
SNAILMethod Category=Others2026.0194.89
NoiseALNoise Type=Asymmetric, Noise Ratio=20%2025.0494.6
NoiseALNoise Type=Symmetric, Noise Ratio=20%2025.0494.56
NoiseALBackbone=BERT, Noise Type=real-noisy2025.0494.52
NoiseALNoise Type=Instance-dependent, Noise Ratio=20%2025.0494.28
Logits-basedMethod Category=LLM Ensem.2026.0194.21
Vote-basedMethod Category=LLM Ensem.2026.0194.18
DyGenBackbone=BERT, Noise Type=real-noisy2025.0494.05
QWENMethod Category=Single LLM2026.0194.03
Co-TeachingBackbone=BERT, Noise Type=real-noisy2025.0493.94
SelfMixNoise Type=Symmetric, Noise Ratio=20%2025.0493.78
NoiseALNoise Type=Asymmetric, Noise Ratio=40%2025.0493.76
SCEBackbone=BERT, Noise Type=real-noisy2025.0493.74
GEMMAMethod Category=Single LLM2026.0193.73
NoiseALNoise Type=Symmetric, Noise Ratio=40%2025.0493.72
SelfMixBackbone=BERT, Noise Type=real-noisy2025.0493.62
CLBackbone=BERT, Noise Type=real-noisy2025.0493.56
ELRBackbone=BERT, Noise Type=real-noisy2025.0493.52
CLNoise Type=Asymmetric, Noise Ratio=20%2025.0493.49
BERTBackbone=BERT, Noise Type=real-noisy2025.0493.24
PAGMethod Category=Others2026.0193.22
CLNoise Type=Symmetric, Noise Ratio=20%2025.0493.15
ELRNoise Type=Asymmetric, Noise Ratio=20%2025.0492.95
ELRNoise Type=Symmetric, Noise Ratio=20%2025.0492.86
Co-TeachingNoise Type=Symmetric, Noise Ratio=20%2025.0492.66
Co-TeachingNoise Type=Asymmetric, Noise Ratio=20%2025.0492.62
SelfMixNoise Type=Asymmetric, Noise Ratio=40%2025.0492.34
BERT-base w/ NS-LFBackbone=BERT-base, NS-LF strategy=true2026.0492.2
SelfMixNoise Type=Asymmetric, Noise Ratio=20%2025.0492.08
DAMethod Category=Others2026.0192.06
SelfMixNoise Type=Symmetric, Noise Ratio=40%2025.0491.94
RoBERTaNoise Type=Symmetric, Noise Ratio=20%2025.0491.9
BERT-baseBackbone=BERT-base, NS-LF strategy=false2026.0491.8
LLAMAMethod Category=Single LLM2026.0191.72
SCENoise Type=Symmetric, Noise Ratio=20%2025.0491.2
RoBERTaNoise Type=Asymmetric, Noise Ratio=20%2025.0491.02
DyGenNoise Type=Symmetric, Noise Ratio=20%2025.0490.46
DyGenNoise Type=Asymmetric, Noise Ratio=20%2025.0490.4
CLNoise Type=Instance-dependent, Noise Ratio=20%2025.0490.28
NoiseALNoise Type=Instance-dependent, Noise Ratio=40%2025.0490.25
Co-TeachingNoise Type=Instance-dependent, Noise Ratio=20%2025.0490.11
Co-TeachingNoise Type=Asymmetric, Noise Ratio=40%2025.0490.03
SCPLArchitecture=LSTM2026.0189.84
BPArchitecture=LSTM2026.0189.68
DyGenNoise Type=Instance-dependent, Noise Ratio=20%2025.0489.53
Co-TeachingNoise Type=Symmetric, Noise Ratio=40%2025.0489.32
ELRNoise Type=Instance-dependent, Noise Ratio=20%2025.0489.29
CLNoise Type=Asymmetric, Noise Ratio=40%2025.0489.24
SCPLArchitecture=Transformer2026.0189.03
ELRNoise Type=Asymmetric, Noise Ratio=40%2025.0488.83
MISTRALMethod Category=Single LLM2026.0188.35
SCENoise Type=Asymmetric, Noise Ratio=40%2025.0488
CLNoise Type=Symmetric, Noise Ratio=40%2025.0487.97
ELRNoise Type=Symmetric, Noise Ratio=40%2025.0487.85
BPArchitecture=Transformer2026.0187.54
SCENoise Type=Symmetric, Noise Ratio=40%2025.0487.4
ALArchitecture=LSTM2026.0186.41
RoBERTaNoise Type=Instance-dependent, Noise Ratio=20%2025.0486.37
SCENoise Type=Instance-dependent, Noise Ratio=20%2025.0486.21
SCENoise Type=Asymmetric, Noise Ratio=20%2025.0486.2
ALArchitecture=Transformer2026.0185.65
SelfMixNoise Type=Instance-dependent, Noise Ratio=20%2025.0485.61
DyGenNoise Type=Symmetric, Noise Ratio=40%2025.0484.53
Early ExitArchitecture=LSTM2026.0184.34
DyGenNoise Type=Asymmetric, Noise Ratio=40%2025.0484.31
RoBERTaNoise Type=Symmetric, Noise Ratio=40%2025.0482.69
SelfMixNoise Type=Instance-dependent, Noise Ratio=40%2025.0480.94
RoBERTaNoise Type=Asymmetric, Noise Ratio=40%2025.0480.78
Co-TeachingNoise Type=Instance-dependent, Noise Ratio=40%2025.0480.65
DyGenNoise Type=Instance-dependent, Noise Ratio=40%2025.0480.28
Early ExitArchitecture=Transformer2026.0180.24
CLNoise Type=Instance-dependent, Noise Ratio=40%2025.0478.84
ELRNoise Type=Instance-dependent, Noise Ratio=40%2025.0477.37
TextCNN w/ NS-LFBackbone=TextCNN, NS-LF strategy=true2026.0476.6
SCENoise Type=Instance-dependent, Noise Ratio=40%2025.0476.22
TextCNNBackbone=TextCNN, NS-LF strategy=false2026.0475.6
RoBERTaNoise Type=Instance-dependent, Noise Ratio=40%2025.0473.35