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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 21–30 of 97 papers

TitleStatusHype
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
Augment, Drop & Swap: Improving Diversity in LLM Captions for Efficient Music-Text Representation Learning—0
LLMs vs Established Text Augmentation Techniques for Classification: When do the Benefits Outweight the Costs?—0
QAEA-DR: A Unified Text Augmentation Framework for Dense Retrieval—0
Mitigating Data Imbalance for Software Vulnerability Assessment: Does Data Augmentation Help?—0
Performance Improvement of Language-Queried Audio Source Separation Based on Caption Augmentation From Large Language Models for DCASE Challenge 2024 Task 9—0
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