SOTAVerified

Text Augmentation

You can read these blog posts to get an overview of the approaches.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 11–20 of 97 papers

TitleStatusHype
Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple TasksCode1
DoubleMix: Simple Interpolation-Based Data Augmentation for Text ClassificationCode1
Show Me What and Tell Me How: Video Synthesis via Multimodal ConditioningCode1
GPT3Mix: Leveraging Large-scale Language Models for Text AugmentationCode1
Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuningCode1
Text Augmentation for Language Models in High Error Recognition ScenarioCode1
BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard ClassificationCode0
Batch Aggregation: An Approach to Enhance Text Classification with Correlated Augmented Data—0
Toward General and Robust LLM-enhanced Text-attributed Graph Learning—0
Laser: Efficient Language-Guided Segmentation in Neural Radiance FieldsCode0
Show:102550
← PrevPage 2 of 10Next →

No leaderboard results yet.