Dongju Park
4 papers · 2021–2024 · 3 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Bronze πΊοΈ Taxonomy Completionist (13) π£ Hot Topic Early Bird π₯ Mega-Team Β· Squad
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Research topics
Keywords
few-shot learning
(2)
large language model
(2)
natural language processing
(1)
text classification
(1)
knowledge distillation
(1)
data augmentation
(1)
in-context learning
(1)
prompt engineering
(1)
foundation model
(1)
compute efficiency
(1)
soft label
(1)
generative pre-trained transformer
(1)
personalized recommendation
(1)
low-resource setting
(1)
korean language
(1)
text augmentation
(1)
korean language modeling
(1)
seq2seq language model
(1)
heavy pre-finetuning
(1)
federated learning
(1)
Papers
General Commerce Intelligence: Glocally Federated NLP-Based Engine for Privacy-Preserving and Sustainable Personalized Services of Multi-Merchants
AAAI 2024
HyperT5: Towards Compute-Efficient Korean Language Modeling
ACL 2023
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
EMNLP 2021
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
EMNLP 2021