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Few-Shot Text Classification

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

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 51–60 of 100 papers

Title	Date	Tasks	Status	Hype	Score
Understanding BLOOM: An empirical study on diverse NLP tasks	Nov 27, 2022	DecoderFew-Shot Text Classification	—Unverified	0	0
Variance-reduced First-order Meta-learning for Natural Language Processing Tasks	Jun 1, 2021	dialog state trackingFew-Shot Text Classification	—Unverified	0	0
Visual Prompt Tuning for Few-Shot Text Classification	Oct 1, 2022	ClassificationFew-Shot Learning	—Unverified	0	0
When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications	May 24, 2020	Few-Shot Text ClassificationLanguage Modeling	—Unverified	0	0
A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning	Feb 13, 2025	Few-Shot LearningFew-Shot Text Classification	—Unverified	0	0
ALP: Data Augmentation using Lexicalized PCFGs for Few-Shot Text Classification	Dec 16, 2021	ClassificationData Augmentation	—Unverified	0	0
A Self-Adaptive Learning Rate and Curriculum Learning Based Framework for Few-Shot Text Classification	Nov 16, 2021	Few-Shot LearningFew-Shot Text Classification	—Unverified	0	0
A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis	Dec 16, 2023	ClassificationContrastive Learning	—Unverified	0	0
Attentive Task-Agnostic Meta-Learning for Few-Shot Text Classification	May 1, 2019	ClassificationFew-Shot Text Classification	—Unverified	0	0
Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification	Aug 17, 2021	ClassificationFew-Shot Text Classification	—Unverified	0	0

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All datasets RAFT Average on NLP datasets Amazon Counterfeit ODIC 10-way (10-shot)ODIC 10-way (5-shot)ODIC 5-way (10-shot)ODIC 5-way (5-shot)SST-5

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	T-Few	Avg	0.76	—	Unverified
2	Human (crowdsourced)	Avg	0.74	—	Unverified
3	GPT-3	Avg	0.63	—	Unverified
4	AdaBoost	Avg	0.51	—	Unverified
5	GPT-Neo	Avg	0.48	—	Unverified
6	GPT-2	Avg	0.46	—	Unverified
7	BART MNLI zero-shot	Avg	0.38	—	Unverified
8	Plurality-class	Avg	0.33	—	Unverified
9	GPT-3 zero-shot	Avg	0.29	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SetFit + OCD(5)	Accuracy	0.65	—	Unverified
2	SetFit + OCD	Accuracy	0.64	—	Unverified
3	T-few 3B	Accuracy	0.63	—	Unverified
4	SetFit	Accuracy	0.62	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SetFit + OCD	Accuracy	0.41	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Induction Networks	Accuracy	81.64	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Induction Networks	Accuracy	78.27	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Induction Networks	Accuracy	88.49	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Induction Networks	Accuracy	87.16	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SetFit + OCD	Accuracy	0.48	—	Unverified