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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 1–25 of 97 papers

TitleStatusHype
A Survey on Data Augmentation in Large Model EraCode2
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification TasksCode2
Words or Vision: Do Vision-Language Models Have Blind Faith in Text?Code1
Image, Text, and Speech Data Augmentation using Multimodal LLMs for Deep Learning: A SurveyCode1
Building a Multi-modal Spatiotemporal Expert for Zero-shot Action Recognition with CLIPCode1
PairAug: What Can Augmented Image-Text Pairs Do for Radiology?Code1
CLAP: Isolating Content from Style through Contrastive Learning with Augmented PromptsCode1
Pretraining Language Models with Text-Attributed Heterogeneous GraphsCode1
Story Visualization by Online Text Augmentation with Context MemoryCode1
BootAug: Boosting Text Augmentation via Hybrid Instance Filtering FrameworkCode1
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
Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral—0
TARDiS : Text Augmentation for Refining Diversity and Separability—0
An Experimental Study on Data Augmentation Techniques for Named Entity Recognition on Low-Resource Domains—0
Use Random Selection for Now: Investigation of Few-Shot Selection Strategies in LLM-based Text Augmentation for ClassificationCode0
CleanerCLIP: Fine-grained Counterfactual Semantic Augmentation for Backdoor Defense in Contrastive Learning—0
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