Text Augmentation

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Most implemented papers archive 2025-07-28

30 shown of 41 papers with code (97 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
  31 Jan 2019 16 repositories listed Syntology ran 2 of 13 samples · 11 unverified · 1 pointer-only (licence)
  We present EDA: easy data augmentation techniques for boosting performance on text classification tasks.
• Data Augmentation via Dependency Tree Morphing for Low-Resource Languages
  22 Mar 2019 2 repositories listed
  Neural NLP systems achieve high scores in the presence of sizable training dataset.
• Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations
  16 May 2018 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  We stochastically replace words with other words that are predicted by a bi-directional language model at the word positions.
• BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification
  29 Apr 2025 1 repository listed
  None of the three augmentation techniques consistently improved overall performance for classifying hazards and products.
• Words or Vision: Do Vision-Language Models Have Blind Faith in Text?
  4 Mar 2025 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  Vision-Language Models (VLMs) excel in integrating visual and textual information for vision-centric tasks, but their handling of inconsistencies between modalities is underexplored.
• Laser: Efficient Language-Guided Segmentation in Neural Radiance Fields
  31 Jan 2025 1 repository listed
  To achieve this, we introduce an adapter module and mitigate the noise issue in the dense CLIP feature distillation process through a self-cross-training strategy.
• Image, Text, and Speech Data Augmentation using Multimodal LLMs for Deep Learning: A Survey
  29 Jan 2025 1 repository listed
  Additionally, we identified potential solutions to these limitations from the literature to enhance the efficacy of data augmentation practices using multimodal LLMs.
• Building a Multi-modal Spatiotemporal Expert for Zero-shot Action Recognition with CLIP
  13 Dec 2024 1 repository listed
  Zero-shot action recognition (ZSAR) requires collaborative multi-modal spatiotemporal understanding.
• Use Random Selection for Now: Investigation of Few-Shot Selection Strategies in LLM-based Text Augmentation for Classification
  14 Oct 2024 1 repository listed
  We evaluate this on in-distribution and out-of-distribution classifier performance.
• PairAug: What Can Augmented Image-Text Pairs Do for Radiology?
  7 Apr 2024 1 repository listed Syntology ran 4 of 9 samples · 5 unverified · 9 pointer-only (licence)
  Acknowledging this limitation, our objective is to devise a framework capable of concurrently augmenting medical image and text data.
• EDDA: A Encoder-Decoder Data Augmentation Framework for Zero-Shot Stance Detection
  23 Mar 2024 1 repository listed
  To address these issues, we propose an encoder-decoder data augmentation (EDDA) framework.
• Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap
  6 Feb 2024 1 repository listed
  However, most DG methods assume access to abundant source data in the target label space, a requirement that proves overly stringent for numerous real-world applications, where acquiring the same label space as the…
• A Survey on Data Augmentation in Large Model Era
  27 Jan 2024 1 repository listed
  Leveraging large models, these data augmentation techniques have outperformed traditional approaches.
• Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation
  12 Jan 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  The latest generative large language models (LLMs) have found their application in data augmentation tasks, where small numbers of text samples are LLM-paraphrased and then used to fine-tune downstream models.
• From Big to Small Without Losing It All: Text Augmentation with ChatGPT for Efficient Sentiment Analysis
  7 Dec 2023 1 repository listed
  In the era of artificial intelligence, data is gold but costly to annotate.
• Teaching Specific Scientific Knowledge into Large Language Models through Additional Training
  6 Dec 2023 1 repository listed
  Through additional training, we explore embedding specialized scientific knowledge into the Llama 2 Large Language Model (LLM).
• COVID-19 Vaccine Misinformation in Middle Income Countries
  30 Nov 2023 1 repository listed
  This paper introduces a multilingual dataset of COVID-19 vaccine misinformation, consisting of annotated tweets from three middle-income countries: Brazil, Indonesia, and Nigeria.
• CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts
  28 Nov 2023 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  To address this limitation, we adopt a causal generative perspective for multimodal data and propose contrastive learning with data augmentation to disentangle content features from the original representations.
• Pretraining Language Models with Text-Attributed Heterogeneous Graphs
  19 Oct 2023 1 repository listed
  In many real-world scenarios (e.
• Distributional Data Augmentation Methods for Low Resource Language
  9 Sep 2023 1 repository listed
  One of the current state-of-the-art text augmentation techniques is easy data augmentation (EDA), which augments the training data by injecting and replacing synonyms and randomly permuting sentences.
• Story Visualization by Online Text Augmentation with Context Memory
  15 Aug 2023 1 repository listed
  Story visualization (SV) is a challenging text-to-image generation task for the difficulty of not only rendering visual details from the text descriptions but also encoding a long-term context across multiple sentences.
• STA: Self-controlled Text Augmentation for Improving Text Classifications
  24 Feb 2023 1 repository listed
  Despite recent advancements in Machine Learning, many tasks still involve working in low-data regimes which can make solving natural language problems difficult.
• RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language Understanding
  12 Dec 2022 1 repository listed
  However, existing data augmentation techniques in natural language understanding (NLU) may not fully capture the complexity of natural language variations, and they can be challenging to apply to large datasets.
• BootAug: Boosting Text Augmentation via Hybrid Instance Filtering Framework
  6 Oct 2022 1 repository listed
  Our experimental results on three classification tasks and nine public datasets show that BootAug addresses the performance drop problem and outperforms state-of-the-art text augmentation methods.
• Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks
  1 Oct 2022 1 repository listed
  Notably, our proposed Zemi_(LARGE) outperforms T0-3B by 16% on all seven evaluation tasks while being 3.
• Adaptation of domain-specific transformer models with text oversampling for sentiment analysis of social media posts on Covid-19 vaccines
  22 Sep 2022 1 repository listed
  Covid-19 has spread across the world and several vaccines have been developed to counter its surge.
• DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification
  12 Sep 2022 1 repository listed
  This paper proposes a simple yet effective interpolation-based data augmentation approach termed DoubleMix, to improve the robustness of models in text classification.
• Selective Text Augmentation with Word Roles for Low-Resource Text Classification
  4 Sep 2022 1 repository listed
  Different words may play different roles in text classification, which inspires us to strategically select the proper roles for text augmentation.
• BAN-Cap: A Multi-Purpose English-Bangla Image Descriptions Dataset
  28 May 2022 1 repository listed
  As computers have become efficient at understanding visual information and transforming it into a written representation, research interest in tasks like automatic image captioning has seen a significant leap over the…
• Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning
  4 Mar 2022 1 repository listed
  In addition, our model can extract visual information as suggested by the text prompt, e.

Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.