Dongju Park

                                                                                                                                                   [BLOG](https://toriving.github.io/)

Data Augmentation using Pre-trained Transformer Models

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

EDA : Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

CTRL: A CONDITIONAL TRANSFORMER LANGUAGE MODEL FOR CONTROLLABLE GENERATION

Do Not Have Enough Data? Deep Learning to the Rescue!

Blank Language Models

SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness

Self-training Improves Pre-training for Natural Language Understanding

COCON: A SELF-SUPERVISED APPROACH FOR CONTROLLED TEXT GENERATION

How Can We Know What Language Models Know?

How Many Data Points is a Prompt Worth?

CTRLsum: TOWARDS GENERIC CONTROLLABLE TEXT SUMMARIZATION

Meta-tuning Language Models to Answer Prompts Better