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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

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Showing 31–40 of 100 papers

Title	Date	Tasks	Status	Hype
Label-template based Few-Shot Text Classification with Contrastive Learning	Dec 13, 2024	Contrastive LearningFew-Shot Text Classification	—Unverified	0
Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the Tasks	Oct 14, 2024	AllFew-Shot Text Classification	CodeCode Available	0
Empirical Study of Mutual Reinforcement Effect and Application in Few-shot Text Classification Tasks via Prompt	Oct 13, 2024	ClassificationFew-Shot Text Classification	—Unverified	0
Manual Verbalizer Enrichment for Few-Shot Text Classification	Oct 8, 2024	BenchmarkingClassification	—Unverified	0
Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classification	Sep 30, 2024	FairnessFew-Shot Learning	CodeCode Available	0
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL	Jul 20, 2024	Few-Shot Text ClassificationQ-Learning	CodeCode Available	0
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

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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