30 citations · 71 across the 7 of their papers we have counts for
10 papers
FactKG: Fact Verification via Reasoning on Knowledge Graphs
Jiho Kim, Sungjin Park, Yeonsu Kwon +3
In real world applications, knowledge graphs (KG) are widely used in various domains (e.g. medical applications and dialogue agents). However, for fact verification, KGs have not b…
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…
Unconditional Image-Text Pair Generation with Multimodal Cross Quantizer
Hyungyung Lee, Sungjin Park, Joonseok Lee +1
Although deep generative models have gained a lot of attention, most of the existing works are designed for unimodal generation. In this paper, we explore a new method for uncondit…
FreeTalky: Don't Be Afraid! Conversations Made Easier by a Humanoid Robot using Persona-based Dialogue
Chanjun Park, Yoonna Jang, Seolhwa Lee +2
We propose a deep learning-based foreign language learning platform, named FreeTalky, for people who experience anxiety dealing with foreign languages, by employing a humanoid robo…
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…
Hybrid-functional and quasi-particle calculations of band structures of Mg2Si, Mg2Ge, and Mg2Sn
Byungki Ryu, Sungjin Park, Eun-Ae Choi +4
We perform hybrid functional and quasi-particle band structure calculations with spin-orbit interaction to investigate the band structures of Mg2Si, Mg2Ge, and Mg2Sn. For all Mg2X…