Few-Shot Text Classification

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

Papers

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Showing 51–75 of 100 papers

Title	Date	Tasks	Status	Hype
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning	May 29, 2022	Few-Shot Text ClassificationMemorization	CodeCode Available	2
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners	May 18, 2022	Data AugmentationFew-Shot Learning	CodeCode Available	0
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning	May 11, 2022	Few-Shot Text ClassificationIn-Context Learning	CodeCode Available	4
Towards Unified Prompt Tuning for Few-shot Text Classification	May 11, 2022	ClassificationFew-Shot Learning	—Unverified	0
EICO: Improving Few-Shot Text Classification via Explicit and Implicit Consistency Regularization	May 1, 2022	Few-Shot LearningFew-Shot Text Classification	—Unverified	0
ASCM: An Answer Space Clustered Prompting Method without Answer Engineering	May 1, 2022	Few-Shot Text ClassificationNatural Language Inference	CodeCode Available	0
Label Semantic Aware Pre-training for Few-shot Text Classification	Apr 14, 2022	ClassificationFew-Shot Text Classification	CodeCode Available	1
Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification	Apr 13, 2022	Few-Shot Text ClassificationLanguage Modeling	CodeCode Available	1
MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification	Apr 11, 2022	Few-Shot LearningFew-Shot Text Classification	—Unverified	0
Few-Shot Learning with Siamese Networks and Label Tuning	Mar 28, 2022	Few-Shot LearningFew-Shot Text Classification	CodeCode Available	1
LST: Lexicon-Guided Self-Training for Few-Shot Text Classification	Feb 5, 2022	ClassificationFew-Shot Text Classification	—Unverified	0
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation	Jan 27, 2022	Few-Shot Text ClassificationMeta-Learning	CodeCode Available	0
Label-guided Data Augmentation for Prompt-based Few Shot Learners	Jan 16, 2022	Data AugmentationFew-Shot Learning	—Unverified	0
ALP: Data Augmentation using Lexicalized PCFGs for Few-Shot Text Classification	Dec 16, 2021	ClassificationData Augmentation	—Unverified	0
Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification	Nov 17, 2021	Active LearningClassification	—Unverified	0
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification	Nov 16, 2021	Few-Shot Text ClassificationLanguage Modeling	—Unverified	0
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER	Nov 16, 2021	Domain AdaptationFew-Shot Text Classification	—Unverified	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
TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification	Nov 1, 2021	Few-Shot LearningFew-Shot Text Classification	CodeCode Available	1
Few-Shot Learning with Siamese Networks and Label Tuning	Oct 16, 2021	Few-Shot LearningFew-Shot Text Classification	—Unverified	0
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER	Oct 16, 2021	Domain AdaptationFew-Shot Text Classification	CodeCode Available	1
RAFT: A Real-World Few-Shot Text Classification Benchmark	Sep 28, 2021	ClassificationFew-Shot Learning	CodeCode Available	1
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection	Aug 27, 2021	Few-Shot Text Classificationintent-classification	CodeCode Available	0
Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification	Aug 17, 2021	ClassificationFew-Shot Text Classification	—Unverified	0
Noisy Channel Language Model Prompting for Few-Shot Text Classification	Aug 9, 2021	AttributeClassification	CodeCode Available	1

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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