5 papers
A Single Model Ensemble Framework for Neural Machine Translation using Pivot Translation
Seokjin Oh, Keonwoong Noh, Woohwan Jung
Despite the recent remarkable advances in neural machine translation, translation quality for low-resource language pairs remains subpar. Ensembling multiple systems is a widely ad…
Automatic Transmission for LLM Tiers: Optimizing Cost and Accuracy in Large Language Models
Injae Na, Keonwoong Noh, Woohwan Jung
LLM providers typically offer multiple LLM tiers, varying in performance and price. As NLP tasks become more complex and modularized, selecting the suitable LLM tier for each subta…
Exploring the Impact of Corpus Diversity on Financial Pretrained Language Models
Jaeyoung Choe, Keonwoong Noh, Nayeon Kim +2
Over the past few years, various domain-specific pretrained language models (PLMs) have been proposed and have outperformed general-domain PLMs in specialized areas such as biomedi…
Improving Detail in Pluralistic Image Inpainting with Feature Dequantization
Kyungri Park, Woohwan Jung
Pluralistic Image Inpainting (PII) offers multiple plausible solutions for restoring missing parts of images and has been successfully applied to various applications including ima…
Improving Domain-Specific ASR with LLM-Generated Contextual Descriptions
Jiwon Suh, Injae Na, Woohwan Jung
End-to-end automatic speech recognition (E2E ASR) systems have significantly improved speech recognition through training on extensive datasets. Despite these advancements, they st…