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Classification on IMDB

100AccuracyRole-Aware AI
52.097664.533876.9789.4062Feb 9, 2026Feb 28, 2026Mar 20, 2026Apr 8, 2026Apr 28, 2026May 17, 2026Jun 6, 2026

Evaluation results

MethodLinks
Role-Aware AIGenerator Model=GPT-2, Generator Parameters=124 million2026.05100—100————
LogLikelihoodGenerator Model=LLaMA-3-Instruct, Generator Parameters=3 billion2026.05100—100————
LogRankGenerator Model=LLaMA-3-Instruct, Generator Parameters=3 billion2026.0599—100————
EntropyGenerator Model=LLaMA-3-Instruct, Generator Parameters=3 billion2026.0598—99————
LogRankGenerator Model=GPT-2, Generator Parameters=124 million2026.0597—100————
RoBERTaGenerator Model=LLaMA-3-Instruct, Generator Parameters=3 billion2026.0595—98————
Role-Aware AIGenerator Model=LLaMA-3-Instruct, Generator Parameters=3 billion2026.0595—99————
RoBERTaGenerator Model=GPT-2, Generator Parameters=124 million2026.0592—96————
LogLikelihoodGenerator Model=GPT-2, Generator Parameters=124 million2026.0588—95————
DIRECTORBase architecture=KEP-2/5, Ensemble=Deep Ensembles2026.0287.883.4382.9672.291.242.9117.7
DIRECTORBase architecture=KEP-1/5, Ensemble=Deep Ensembles2026.0287.853.4483.271.11.252.8917.62
KEP-2/5Backbone=KEP, GP-reparameterized blocks=2/5, Ensemble=Deep Ensembles2026.0287.773.5182.4473.142.853.0418.18
DIRECTORBase architecture=KEP-5/5, Ensemble=Deep Ensembles2026.0287.663.4382.9572.132.072.9518.05
DIRECTORBase architecture=Transformer, Ensemble=Deep Ensembles2026.0287.453.5682.8370.681.97318.25
KEP-1/5Backbone=KEP, GP-reparameterized blocks=1/5, Ensemble=Deep Ensembles2026.0287.443.6382.3472.211.563.0118.39
TransformerBackbone=Transformer, Ensemble=Deep Ensembles2026.0287.313.5582.9271.452.363.0418.44
CurvatureGenerator Model=GPT-2, Generator Parameters=124 million2026.0587—94————
KEP-5/5Backbone=KEP, GP-reparameterized blocks=5/5, Ensemble=Deep Ensembles2026.0286.494.1681.5474.072.633.2819.72
CurvatureGenerator Model=LLaMA-3-Instruct, Generator Parameters=3 billion2026.0586—91————
Transformer (Full Attn)Source=This work, Tokenization=GPT-2 BPE2026.0684.96——————
CHIAR DCT+AttnSource=This work, Tokenization=GPT-2 BPE2026.0683.72——————
EntropyGenerator Model=GPT-2, Generator Parameters=124 million2026.0583—91————
CDVM10kTraining Data Percentage=30% Data2026.0581.3——————
InfOptTraining Data Percentage=25% Data2026.0580.8——————
CDVM5kTraining Data Percentage=30% Data2026.0580.4——————
CDVM10kTraining Data Percentage=25% Data2026.0580——————
CDVM5kTraining Data Percentage=25% Data2026.0579.5——————
CDVM10kTraining Data Percentage=20% Data2026.0579.4——————
CDVM10kTraining Data Percentage=15% Data2026.0579.4——————
InfOptTraining Data Percentage=30% Data2026.0579.4——————
DataOOBTraining Data Percentage=30% Data2026.0579.4——————
CDVM10kTraining Data Percentage=10% Data2026.0579.3——————
CDVM5kTraining Data Percentage=20% Data2026.0578.9——————
DataOOBTraining Data Percentage=10% Data2026.0578.9——————
DataOOBTraining Data Percentage=25% Data2026.0578.8——————
CDVM5kTraining Data Percentage=15% Data2026.0578.7——————
CDVM5kTraining Data Percentage=10% Data2026.0578.7——————
CDVM10kTraining Data Percentage=5% Data2026.0578.3——————
CDVM5kTraining Data Percentage=5% Data2026.0578.2——————
DataOOBTraining Data Percentage=20% Data2026.0578.2——————
DataOOBTraining Data Percentage=15% Data2026.0578.2——————
RandomTraining Data Percentage=30% Data2026.0578.2——————
DataOOBTraining Data Percentage=5% Data2026.0578——————
InfOptTraining Data Percentage=20% Data2026.0577.4——————
InfOptTraining Data Percentage=15% Data2026.0577.4——————
BanzhafTraining Data Percentage=30% Data2026.0577.2——————
RandomTraining Data Percentage=25% Data2026.0577.2——————
RandomTraining Data Percentage=20% Data2026.0576.5——————
BanzhafTraining Data Percentage=25% Data2026.0575.8——————
RandomTraining Data Percentage=15% Data2026.0575.1——————
InfOptTraining Data Percentage=10% Data2026.0574.8——————
BanzhafTraining Data Percentage=20% Data2026.0574.8——————
BanzhafTraining Data Percentage=15% Data2026.0573.9——————
RandomTraining Data Percentage=10% Data2026.0572.9——————
BanzhafTraining Data Percentage=10% Data2026.0572.1——————
InfOptTraining Data Percentage=5% Data2026.0568——————
BanzhafTraining Data Percentage=5% Data2026.0567.8——————
RandomTraining Data Percentage=5% Data2026.0567.5——————
PerformerSource=Tay et al. 2021, Tokenization=Character-level2026.0665.4——————
FNetSource=Tay et al. 2021, Tokenization=Character-level2026.0665.11——————
TransformerSource=Tay et al. 2021, Tokenization=Character-level2026.0664.27——————
LinformerSource=Tay et al. 2021, Tokenization=Character-level2026.0653.94——————