Cheonbok Park

According to our database, Cheonbok Park authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

KMMLU: Measuring Massive Multitask Language Understanding in Korean.

Guijin Son, Hanwool Lee, Sungdong Kim, Seungone Kim, Niklas Muennighoff, Taekyoon Choi, Cheonbok Park, Kang Min Yoo, Stella Biderman

CoRR, 2024

2023

A Visual Analytics System for Improving Attention-based Traffic Forecasting Models.

Seungmin Jin, Hyunwook Lee, Cheonbok Park, Hyeshin Chu, Yunwon Tae, Jaegul Choo, Sungahn Ko

IEEE Trans. Vis. Comput. Graph., 2023

PePe: Personalized Post-editing Model utilizing User-generated Post-edits.

Jihyeon Lee, Taehee Kim, Yunwon Tae, Cheonbok Park, Jaegul Choo

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Towards Accurate Translation via Semantically Appropriate Application of Lexical Constraints.

Yujin Baek, Koanho Lee, Dayeon Ki, Cheonbok Park, Hyoung-Gyu Lee, Jaegul Choo

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

PASTA: PArallel Spatio-Temporal Attention with Spatial Auto-Correlation Gating for Fine-Grained Crowd Flow Prediction.

Chung Park, Junui Hong, Cheonbok Park, Taesan Kim, Minsung Choi, Jaegul Choo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift.

Taesung Kim, Jinhee Kim, Yunwon Tae, Cheonbok Park, Jang-Ho Choi, Jaegul Choo

Proceedings of the Tenth International Conference on Learning Representations, 2022

Specializing Multi-domain NMT via Penalizing Low Mutual Information.

Jiyoung Lee, Hantae Kim, Hyunchang Cho, Edward Choi, Cheonbok Park

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Residual Correction in Real-Time Traffic Forecasting.

Daejin Kim, Youngin Cho, Dongmin Kim, Cheonbok Park, Jaegul Choo

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation.

Cheonbok Park, Hantae Kim, Ioan Calapodescu, Hyunchang Cho, Vassilina Nikoulina

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

VATUN: Visual Analytics for Testing and Understanding Convolutional Neural Networks.

Cheonbok Park, Soyoung Yang, Inyoup Na, Sunghyo Chung, Sungbok Shin, Bum Chul Kwon, Deokgun Park, Jaegul Choo

Proceedings of the 21st Eurographics Conference on Visualization, 2021

An Empirical Experiment on Deep Learning Models for Predicting Traffic Data.

Hyunwook Lee, Cheonbok Park, Seungmin Jin, Hyeshin Chu, Jaegul Choo, Sungahn Ko

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning.

Cheonbok Park, Yunwon Tae, Taehee Kim, Soyoung Yang, Mohammad Azam Khan, Lucy Park, Jaegul Choo

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Meta-Learning for Low-Resource Unsupervised Neural MachineTranslation.

Yunwon Tae, Cheonbok Park, Taehee Kim, Soyoung Yang, Mohammad Azam Khan, Eunjeong Park, Tao Qin, Jaegul Choo

CoRR, 2020

ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed.

Cheonbok Park, Chunggi Lee, Hyojin Bahng, Yunwon Tae, Seungmin Jin, Kihwan Kim, Sungahn Ko, Jaegul Choo

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

STGRAT: A Spatio-Temporal Graph Attention Network for Traffic Forecasting.

Cheonbok Park, Chunggi Lee, Hyojin Bahng, Taeyun won, Kihwan Kim, Seungmin Jin, Sungahn Ko, Jaegul Choo

CoRR, 2019

SANVis: Visual Analytics for Understanding Self-Attention Networks.

Cheonbok Park, Jaegul Choo, Inyoup Na, Yongjang Jo, Sungbok Shin, Jaehyo Yoo, Bum Chul Kwon, Jian Zhao, Hyungjong Noh, Yeonsoo Lee

Proceedings of the 30th IEEE Visualization Conference, 2019

A Comparison of the Effects of Data Imputation Methods on Model Performance.

Wooyoung Kim, Wonwoong Cho, Jangho Choi, Jiyong Kim, Cheonbok Park, Jaegul Choo

Proceedings of the 21st International Conference on Advanced Communication Technology, 2019

AILA: Attentive Interactive Labeling Assistant for Document Classification through Attention-Based Deep Neural Networks.

Minsuk Choi, Cheonbok Park, Soyoung Yang, Yonggyu Kim, Jaegul Choo, Sungsoo Ray Hong

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019