Seminar > Paper Reviews

논문 제목

Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks 

NoiseTune: A Little Noise Can Help You Finetune Pretrained Language Models Better

Learn to Adpat for Generalized Zero-Shot Text Classification

Evaluation Metrics for DST

Investigating person-specific errors in chat-oriented dialogue systems

Buy Tesla, Sell Ford: Assessing implict Stock Market Preference in Pre-trained Language Models

VLP-MABSA

Prompt design

bert2BERT

AMR-DA: Data Augmentation by Abstract Meaning Representation

Noisy Channel Language Model Prompting for Few-Shot Text Classification

Data Contamination : From Memorization to Exploitation

Efficient Classifiaction of Long Documents Using Transformers

XDBERT: Distilling Visual Information to BERT from Cross-Modal Systems to Improve Language Understanding 

Prototypical Verbalizer for Prompt-based Few-show Tuning

Contrastive Learning-Enhanced Nearset Neighbor Mechanism for Multi-Label Text Classification