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HyeJin Lee

2 accepted papers

2024

Optimizing Language Augmentation for Multilingual Large Language Models: A Case Study on Korean

COLING 2024main

Large language models (LLMs) use pretraining to predict the subsequent word; however, their expansion requires significant computing resources. Numerous big tech companies and research institutes have developed multilingual LLMs (MLLMs) to meet current demands, overlooking less-resourced languages (…

2022

Bridging the Domain Gap towards Generalization in Automatic Colorization

ECCV 2022poster

"We propose a novel automatic colorization technique that learns domain-invariance across multiple source domains and is able to leverage such invariance to colorize grayscale images in unseen target domains. This would be particularly useful for colorizing sketches, line arts, or line drawings, whi…