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 2130 of 100 papers

TitleStatusHype
Breaking the Bank with ChatGPT: Few-Shot Text Classification for Finance0
Emotion-Conditioned Text Generation through Automatic Prompt Optimization0
Evolutionary Verbalizer Search for Prompt-based Few Shot Text ClassificationCode0
MetricPrompt: Prompting Model as a Relevance Metric for Few-shot Text ClassificationCode1
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference TransformationCode0
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
ContrastNet: A Contrastive Learning Framework for Few-Shot Text ClassificationCode1
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models0
Boosting Few-Shot Text Classification via Distribution Estimation0
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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