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

Synthetic Data

Applications

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