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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 11–20 of 100 papers

Title	Date	Tasks	Status	Hype
LLM-Generated Natural Language Meets Scaling Laws: New Explorations and Data Augmentation Methods	Jun 29, 2024	Data AugmentationFew-Shot Text Classification	—Unverified	0
FPT: Feature Prompt Tuning for Few-shot Readability Assessment	Apr 3, 2024	16kFew-Shot Text Classification	CodeCode Available	0
Shortcuts Arising from Contrast: Effective and Covert Clean-Label Attacks in Prompt-Based Learning	Mar 30, 2024	Data AugmentationFew-Shot Text Classification	—Unverified	0
CrossTune: Black-Box Few-Shot Classification with Label Enhancement	Mar 19, 2024	Few-Shot Text ClassificationIn-Context Learning	—Unverified	0
RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models	Mar 4, 2024	Few-Shot Text Classificationparameter-efficient fine-tuning	CodeCode Available	0
A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis	Dec 16, 2023	ClassificationContrastive Learning	—Unverified	0
Boosting Prompt-Based Self-Training With Mapping-Free Automatic Verbalizer for Multi-Class Classification	Dec 8, 2023	ClassificationFew-Shot Text Classification	CodeCode Available	0
Label-Aware Automatic Verbalizer for Few-Shot Text Classification	Oct 19, 2023	Few-Shot Text ClassificationLanguage Modeling	—Unverified	0
BYOC: Personalized Few-Shot Classification with Co-Authored Class Descriptions	Oct 9, 2023	Few-Shot Text Classificationtext-classification	—Unverified	0
TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification	Aug 29, 2023	Few-Shot LearningFew-Shot Text Classification	—Unverified	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