22 citations · 22 across the 2 of their papers we have counts for
7 papers
Do Language Models Understand Measurements?
Sungjin Park, Seungwoo Ryu, Edward Choi
Recent success of pre-trained language models (PLMs) has stimulated interest in their ability to understand and work with numbers. Yet, the numerical reasoning over measurements ha…
Real-time Denoising and Dereverberation with Tiny Recurrent U-Net
Hyeong-Seok Choi, Sungjin Park, Jie Hwan Lee +3
Modern deep learning-based models have seen outstanding performance improvement with speech enhancement tasks. The number of parameters of state-of-the-art models, however, is ofte…
Off-centered Pb interstitials in PbTe
Sungjin Park, Jongho Park, Byungki Ryu +1
In this work, we calculate the defect properties of low-symmetry Pb interstitials in PbTe using first-principles density-functional theory calculations. We break the symmetry impos…
Multi-View Attention Network for Visual Dialog
Sungjin Park, Taesun Whang, Yeochan Yoon +1
Visual dialog is a challenging vision-language task in which a series of questions visually grounded by a given image are answered. To resolve the visual dialog task, a high-level…
Semi-supervised Disentanglement with Independent Vector Variational Autoencoders
Bo-Kyeong Kim, Sungjin Park, Geonmin Kim +1
We aim to separate the generative factors of data into two latent vectors in a variational autoencoder. One vector captures class factors relevant to target classification tasks, w…
Native point defects and low -doping efficiency in solid solutions: A hybrid-density functional study
Byungki Ryu, Eun-Ae Choi, Sungjin Park +5
We perform hybrid-density functional calculations to investigate the charged defect formation energy of native point defects in , , and their solid solutions. The…