SOTAVerified

Few-Shot Text Classification

Few-shot Text Classification predicts the semantic label of a given text with a handful of supporting instances 1

Papers

Showing 5160 of 100 papers

TitleStatusHype
Enhancing Black-Box Few-Shot Text Classification with Prompt-Based Data Augmentation0
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks0
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models0
Boosting Few-Shot Text Classification via Distribution Estimation0
MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer AdaptersCode0
Mask-guided BERT for Few Shot Text Classification0
Improving Few-Shot Performance of Language Models via Nearest Neighbor Calibration0
Understanding BLOOM: An empirical study on diverse NLP tasks0
ProtSi: Prototypical Siamese Network with Data Augmentation for Few-Shot Subjective Answer EvaluationCode0
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1T-FewAvg0.76Unverified
2Human (crowdsourced)Avg0.74Unverified
3GPT-3Avg0.63Unverified
4AdaBoostAvg0.51Unverified
5GPT-NeoAvg0.48Unverified
6GPT-2Avg0.46Unverified
7BART MNLI zero-shotAvg0.38Unverified
8Plurality-classAvg0.33Unverified
9GPT-3 zero-shotAvg0.29Unverified
#ModelMetricClaimedVerifiedStatus
1SetFit + OCD(5)Accuracy0.65Unverified
2SetFit + OCDAccuracy0.64Unverified
3T-few 3BAccuracy0.63Unverified
4SetFitAccuracy0.62Unverified
#ModelMetricClaimedVerifiedStatus
1SetFit + OCDAccuracy0.41Unverified
#ModelMetricClaimedVerifiedStatus
1Induction NetworksAccuracy81.64Unverified
#ModelMetricClaimedVerifiedStatus
1Induction NetworksAccuracy78.27Unverified
#ModelMetricClaimedVerifiedStatus
1Induction NetworksAccuracy88.49Unverified
#ModelMetricClaimedVerifiedStatus
1Induction NetworksAccuracy87.16Unverified
#ModelMetricClaimedVerifiedStatus
1SetFit + OCDAccuracy0.48Unverified