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 (CHI, 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 (ICACT, 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 010; Hyungjong Noh; Yeonsoo Lee (IEEE VIS (Short Papers), 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)

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 (CIKM, 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)

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 (ACL/IJCNLP (1), 2021)

An Empirical Experiment on Deep Learning Models for Predicting Traffic Data. - Hyunwook Lee; Cheonbok Park; Seungmin Jin; Hyeshin Chu; Jaegul Choo; Sungahn Ko (ICDE, 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 001; Jaegul Choo (EuroVis (Short Papers), 2021)

DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation. - Cheonbok Park; Hantae Kim; Ioan Calapodescu; Hyunchang Cho; Vassilina Nikoulina (ACL (Findings), 2022)

Residual Correction in Real-Time Traffic Forecasting. - Daejin Kim; Youngin Cho; Dongmin Kim; Cheonbok Park; Jaegul Choo (CIKM, 2022)

Specializing Multi-domain NMT via Penalizing Low Mutual Information. - Jiyoung Lee; Hantae Kim; Hyunchang Cho; Edward Choi; Cheonbok Park (EMNLP, 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 (ICLR, 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 (PAKDD (1), 2022)

Towards Accurate Translation via Semantically Appropriate Application of Lexical Constraints. - Yujin Baek; Koanho Lee; Dayeon Ki; Cheonbok Park; Hyoung-Gyu Lee; Jaegul Choo (ACL (Findings), 2023)

PePe: Personalized Post-editing Model utilizing User-generated Post-edits. - Jihyeon Lee; Taehee Kim; Yunwon Tae; Cheonbok Park; Jaegul Choo (EACL (Findings), 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)

Aligning Language Models to Explicitly Handle Ambiguity. - Hyuhng Joon Kim; Youna Kim; Cheonbok Park; Junyeob Kim; Choonghyun Park; Kang Min Yoo; Sang-goo Lee; Taeuk Kim (EMNLP, 2024)

Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts. - Youna Kim; Hyuhng Joon Kim; Cheonbok Park; Choonghyun Park; Hyunsoo Cho; Junyeob Kim; Kang Min Yoo; Sang-goo Lee; Taeuk Kim (EMNLP (Findings), 2024)

Mitigating Semantic Leakage in Cross-lingual Embeddings via Orthogonality Constraint. - Dayeon Ki; Cheonbok Park; Hyunjoong Kim (CoRR, 2024)

Code-Switching Curriculum Learning for Multilingual Transfer in LLMs. - Haneul Yoo; Cheonbok Park; Sangdoo Yun; Alice Oh; Hwaran Lee (ACL (Findings), 2025)

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 (NAACL (Long Papers), 2025)

Peri-LN: Revisiting Layer Normalization in the Transformer Architecture. - Jeonghoon Kim; Byeongchan Lee 001; Cheonbok Park; Yeontaek Oh; Beomjun Kim; Taehwan Yoo; Seongjin Shin; Dongyoon Han; Jinwoo Shin; Kang Min Yoo (CoRR, 2025)

ReGUIDE: Data Efficient GUI Grounding via Spatial Reasoning and Search. - Hyunseok Lee; Jeonghoon Kim; Beomjun Kim; Jihoon Tack; Chansong Jo; Jaehong Lee; Cheonbok Park; Sookyo In; Jinwoo Shin; Kang Min Yoo (CoRR, 2025)

Cross-lingual Collapse: How Language-Centric Foundation Models Shape Reasoning in Large Language Models. - Cheonbok Park; Jeonghoon Kim; Joosung Lee; Sanghwan Bae; Jaegul Choo; Kang Min Yoo (CoRR, 2025)

Enhancing Hallucination Detection via Future Context. - Joosung Lee; Cheonbok Park; Hwiyeol Jo; Jeonghoon Kim; Joonsuk Park; Kang Min Yoo (CoRR, 2025)