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Sentence Classification on MPQA (test)

90.8AccuracyEFL
48.36859.38470.481.416Sep 14, 2017Feb 26, 2019Aug 9, 2020Jan 21, 2022Jul 5, 2023Dec 16, 2024May 31, 2026

Evaluation results

MethodLinks
EFLTraining setup=Full training dataset, Backbone=RoBERTa-large2021.0490.8
AdaSentevaluation=10-fold cross validation2017.0990.4
DiSANevaluation=10-fold cross validation2017.0990.1
SRUevaluation=10-fold cross validation2017.0989.7
Fine-tuningTraining setup=Full training dataset, Backbone=RoBERTa-large2021.0489.4
Wide CNNsevaluation=10-fold cross validation2017.0988.8
Skip-thoughtevaluation=10-fold cross validation2017.0987.5
EFLTraining setup=Few-shot, K (samples per class)=8, Backbone=RoBERTa-large2021.0487
cBoWevaluation=10-fold cross validation2017.0986.4
KNN-Promptingprivacy budget (ε)=Non-private, number of hyperplanes=24, number of hash tables=42026.0585.4
DP SimHash Bucketingprivacy budget (ε)=1, number of hyperplanes=24, number of hash tables=42026.0584.5
DP SimHash Bucketingprivacy budget (ε)=3, number of hyperplanes=24, number of hash tables=42026.0584.5
DP SimHash Bucketingprivacy budget (ε)=7, number of hyperplanes=24, number of hash tables=42026.0584.5
DP SimHash Bucketingprivacy budget (ε)=8, number of hyperplanes=24, number of hash tables=42026.0584.5
DP SimHash Bucketingprivacy budget (ε)=5, number of hyperplanes=24, number of hash tables=42026.0584.4
DP SimHash Bucketingprivacy budget (ε)=0.1, number of hyperplanes=24, number of hash tables=42026.0583.7
Stilts-CloseTraining setup=Few-shot, K (samples per class)=8, Backbone=RoBERTa-large2021.0476.6
LM-BFFTraining setup=Few-shot, K (samples per class)=8, Backbone=RoBERTa-large2021.0474.2
Stilts-NLITraining setup=Few-shot, K (samples per class)=8, Backbone=RoBERTa-large2021.0467.7
EFL wo PTTraining setup=Few-shot, K (samples per class)=8, Backbone=RoBERTa-large2021.0460.4
Fine-tuningTraining setup=Few-shot, K (samples per class)=8, Backbone=RoBERTa-large2021.0459
MajorityTraining setup=Full training dataset2021.0450