2 citations · 2 across the 6 of their papers we have counts for
6 papers
Multi-Architecture Multi-Expert Diffusion Models
Yunsung Lee, Jin-Young Kim, Hyojun Go +3
In this paper, we address the performance degradation of efficient diffusion models by introducing Multi-architecturE Multi-Expert diffusion models (MEME). We identify the need for…
Addressing Negative Transfer in Diffusion Models
Hyojun Go, JinYoung Kim, Yunsung Lee +4
Diffusion-based generative models have achieved remarkable success in various domains. It trains a shared model on denoising tasks that encompass different noise levels simultaneou…
Cross Encoding as Augmentation: Towards Effective Educational Text Classification
Hyun Seung Lee, Seungtaek Choi, Yunsung Lee +5
Text classification in education, usually called auto-tagging, is the automated process of assigning relevant tags to educational content, such as questions and textbooks. However,…
Evaluation of Question Generation Needs More References
Shinhyeok Oh, Hyojun Go, Hyeongdon Moon +4
Question generation (QG) is the task of generating a valid and fluent question based on a given context and the target answer. According to various purposes, even given the same co…
RWEN-TTS: Relation-aware Word Encoding Network for Natural Text-to-Speech Synthesis
Shinhyeok Oh, HyeongRae Noh, Yoonseok Hong +1
With the advent of deep learning, a huge number of text-to-speech (TTS) models which produce human-like speech have emerged. Recently, by introducing syntactic and semantic informa…
Netmarble AI Center's WMT21 Automatic Post-Editing Shared Task Submission
Shinhyeok Oh, Sion Jang, Hu Xu +2
This paper describes Netmarble's submission to WMT21 Automatic Post-Editing (APE) Shared Task for the English-German language pair. First, we propose a Curriculum Training Strategy…