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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 11–20 of 97 papers

TitleStatusHype
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
An efficient text augmentation approach for contextualized Mandarin speech recognition—0
ExplainableDetector: Exploring Transformer-based Language Modeling Approach for SMS Spam Detection with Explainability Analysis—0
Context-Aware Clustering using Large Language Models—0
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