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Text Augmentation

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

Papers

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Showing 1–10 of 97 papers

TitleStatusHype
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification TasksCode2
A Survey on Data Augmentation in Large Model EraCode2
Image, Text, and Speech Data Augmentation using Multimodal LLMs for Deep Learning: A SurveyCode1
CLAP: Isolating Content from Style through Contrastive Learning with Augmented PromptsCode1
Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuningCode1
GPT3Mix: Leveraging Large-scale Language Models for Text AugmentationCode1
DoubleMix: Simple Interpolation-Based Data Augmentation for Text ClassificationCode1
BootAug: Boosting Text Augmentation via Hybrid Instance Filtering FrameworkCode1
Building a Multi-modal Spatiotemporal Expert for Zero-shot Action Recognition with CLIPCode1
PairAug: What Can Augmented Image-Text Pairs Do for Radiology?Code1
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