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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 31–40 of 100 papers

Title	Date	Tasks	Status	Hype	Score
PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data Augmentation	Aug 17, 2022	Data AugmentationDialogue Generation	CodeCode Available	0	5
Diverse Few-Shot Text Classification with Multiple Metrics	May 19, 2018	ClassificationFew-Shot Learning	CodeCode Available	0	5
ASCM: An Answer Space Clustered Prompting Method without Answer Engineering	May 1, 2022	Few-Shot Text ClassificationNatural Language Inference	CodeCode Available	0	5
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation	Jan 27, 2022	Few-Shot Text ClassificationMeta-Learning	CodeCode Available	0	5
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL	Jul 20, 2024	Few-Shot Text ClassificationQ-Learning	CodeCode Available	0	5
Few-Shot Text Classification with Pre-Trained Word Embeddings and a Human in the Loop	Apr 5, 2018	Few-Shot LearningFew-Shot Text Classification	CodeCode Available	0	5
Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference	Apr 1, 2021	Few-Shot Text ClassificationLanguage Modeling	CodeCode Available	0	5
Adaptive Meta-learner via Gradient Similarity for Few-shot Text Classification	Sep 10, 2022	Few-Shot Text ClassificationMeta-Learning	CodeCode Available	0	5
Evolutionary Verbalizer Search for Prompt-based Few Shot Text Classification	Jun 18, 2023	Few-Shot Text ClassificationLanguage Modeling	CodeCode Available	0	5
FPT: Feature Prompt Tuning for Few-shot Readability Assessment	Apr 3, 2024	16kFew-Shot Text Classification	CodeCode Available	0	5

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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