Data-Augmentation-Papers

The collection of Data Augmentation Papers

综述

• A Survey of Data Augmentation Approaches for NLP 2021 CCF A

LLM

• GA-Tag: Data Enrichment with an Automatic Tagging System Utilizing Large Language Models
• Retrieval-Augmented Multilingual Knowledge Editing 2024 CCF A ACL

关于LLM能根据训练数据推测（生成）出相关的数据的证据

• Extracting Training Data from Large Language Models 2021 CCF A
• Training Data Extraction From Pre-trained Language Models: A Survey 2023 CCF A
• LANGUAGE MODELS ARE REALISTIC TABULAR DATA GENERATORS 2023 CCF A

Zero-shot

• Finetuend Language Models Are Zero-Shot Learners 2022 ICLR

Domian Generalization

• Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap

Synthetic Data

Applications

• Low-Resource Languages
• Fixing Class Imbalance
• Few-Shot Learning
• Adversarial Examples