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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
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
Words or Vision: Do Vision-Language Models Have Blind Faith in Text?Code1
Laser: Efficient Language-Guided Segmentation in Neural Radiance FieldsCode0
Image, Text, and Speech Data Augmentation using Multimodal LLMs for Deep Learning: A SurveyCode1
Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral—0
TARDiS : Text Augmentation for Refining Diversity and Separability—0
Building a Multi-modal Spatiotemporal Expert for Zero-shot Action Recognition with CLIPCode1
An Experimental Study on Data Augmentation Techniques for Named Entity Recognition on Low-Resource Domains—0
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