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Natural Language Inference on CB

91Average AccuracyLogan IV et al. (2021)
26.10442.95259.876.648Apr 3, 2022Jun 12, 2022Aug 21, 2022Oct 30, 2022Jan 8, 2023Mar 19, 2023May 28, 2023

Evaluation results

MethodLinks
Logan IV et al. (2021)2022.049187.52.7——
PERFECTInitialization=random2022.0490.383.93.5——
PETStrategy=Best2022.049078.63.9——
bitfit+mteMode=Ablation2022.0489.682.14.3——
BERTArchitecture=BERT, Model Condition=Benign2023.0588.8———18.2
PERFECTInitialization=prototype-based2022.0487.9754.9——
PETStrategy=Average2022.0486.973.25.1——
T0-11BParams=11B2022.1078.6—18.5——
DistilBERTArchitecture=DistilBERT, Model Condition=Benign2023.0578.6———18.2
prompt+mteMode=Ablation2022.047362.56.1——
FINETUNE2022.0472.967.92.5——
PICLShot=4-shot, Model=GPT2-XL (1.5B)2023.0570————
KiC-LargeParams=0.77B2022.1067.9—22.9——
VanillaICLShot=4-shot, Model=GPT2-XL (1.5B)2023.0567.8————
MetaICLShot=4-shot, Model=GPT-Neo (2.7B)2023.0565.5————
MetaICLShot=4-shot, Model=GPT2-XL (1.5B)2023.0564.4————
PICLShot=4-shot, Model=GPT-Neo (2.7B)2023.0563.1————
T0-LargeParams=0.77B2022.1060.7—23——
VanillaICLShot=4-shot, Model=GPT-Neo (2.7B)2023.0560————
KiC-BaseParams=0.22B2022.1058.9—17.2——
T0-BaseParams=0.22B2022.1053.6—17.1——
OPTParams=30B2022.1050—16.7——
T0-3BParams=3B2022.1050—15.9——
BERTParams=0.34B2022.1048.2—11.3——
GPT-NeoParams=2.7B2022.1048.2—18.9——
KiC-SmallParams=0.06B2022.1044.6—12.1——
RoBERTaParams=0.35B2022.1042.9—4.1——
GPT-NeoXParams=20B2022.1030.4—14.6——
GPT-JParams=6B2022.1028.6—15——
NOTABLEArchitecture=BERT, Model Condition=Backdoored2023.05———87.593.9
NOTABLEArchitecture=DistilBERT, Model Condition=Backdoored2023.05———76.895.5