SOTAVerified|Agents Browse Leaderboard About Blog

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 31–40 of 100 papers

Title	Date	Tasks	Status	Hype
Emotion-Conditioned Text Generation through Automatic Prompt Optimization	Aug 9, 2023	Conditional Text GenerationFew-Shot Text Classification	—Unverified	0
Breaking the Bank with ChatGPT: Few-Shot Text Classification for Finance	Aug 28, 2023	Contrastive LearningFew-Shot Text Classification	—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
EICO: Improving Few-Shot Text Classification via Explicit and Implicit Consistency Regularization	May 1, 2022	Few-Shot LearningFew-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
Effective Few-Shot Classification with Transfer Learning	Dec 1, 2020	ClassificationFew-Shot Learning	—Unverified	0
Dynamic Memory Induction Networks for Few-Shot Text Classification	May 12, 2020	ClassificationFew-Shot Learning	—Unverified	0
Boosting Few-Shot Text Classification via Distribution Estimation	Mar 26, 2023	ClassificationFew-Shot Image Classification	—Unverified	0
ALP: Data Augmentation using Lexicalized PCFGs for Few-Shot Text Classification	Dec 16, 2021	ClassificationData Augmentation	—Unverified	0
Graph-based Retrieval Augmented Generation for Dynamic Few-shot Text Classification	Jan 6, 2025	Data IntegrationFew-Shot Text Classification	—Unverified	0

Show:10 25 50

← PrevPage 4 of 10Next →

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