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ORCIDCheonbok Park
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2020 – today
- 2024
[c16]Hyuhng Joon Kim, Youna Kim, Cheonbok Park, Junyeob Kim, Choonghyun Park, Kang Min Yoo, Sang-goo Lee, Taeuk Kim:
Aligning Language Models to Explicitly Handle Ambiguity. EMNLP 2024: 1989-2007- [c15]Youna Kim, Hyuhng Joon Kim, Cheonbok Park, Choonghyun Park, Hyunsoo Cho, Junyeob Kim, Kang Min Yoo, Sang-goo Lee, Taeuk Kim:
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts. EMNLP (Findings) 2024: 2421-2431 - [i16]Guijin Son, Hanwool Lee, Sungdong Kim, Seungone Kim, Niklas Muennighoff, Taekyoon Choi, Cheonbok Park, Kang Min Yoo, Stella Biderman:
KMMLU: Measuring Massive Multitask Language Understanding in Korean. CoRR abs/2402.11548 (2024) - [i15]Hyuhng Joon Kim, Youna Kim, Cheonbok Park, Junyeob Kim, Choonghyun Park, Kang Min Yoo, Sang-goo Lee, Taeuk Kim:
Aligning Language Models to Explicitly Handle Ambiguity. CoRR abs/2404.11972 (2024) - [i14]Youna Kim, Hyuhng Joon Kim, Cheonbok Park, Choonghyun Park, Hyunsoo Cho, Junyeob Kim, Kang Min Yoo, Sang-goo Lee, Taeuk Kim:
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts. CoRR abs/2408.01084 (2024) - [i13]Dayeon Ki, Cheonbok Park, Hyunjoong Kim:
Mitigating Semantic Leakage in Cross-lingual Embeddings via Orthogonality Constraint. CoRR abs/2409.15664 (2024) - [i12]Haneul Yoo, Cheonbok Park, Sangdoo Yun, Alice Oh, Hwaran Lee:
Code-Switching Curriculum Learning for Multilingual Transfer in LLMs. CoRR abs/2411.02460 (2024) - 2023
- [j1]Seungmin Jin, Hyunwook Lee
, Cheonbok Park, Hyeshin Chu, Yunwon Tae, Jaegul Choo, Sungahn Ko:
A Visual Analytics System for Improving Attention-based Traffic Forecasting Models. IEEE Trans. Vis. Comput. Graph. 29(1): 1102-1112 (2023) - [c14]Yujin Baek, Koanho Lee, Dayeon Ki, Cheonbok Park, Hyoung-Gyu Lee, Jaegul Choo:
Towards Accurate Translation via Semantically Appropriate Application of Lexical Constraints. ACL (Findings) 2023: 4839-4855 - [c13]Jihyeon Lee, Taehee Kim, Yunwon Tae, Cheonbok Park, Jaegul Choo:
PePe: Personalized Post-editing Model utilizing User-generated Post-edits. EACL (Findings) 2023: 239-253 - [i11]Yujin Baek, Koanho Lee, Dayeon Ki, Hyoung-Gyu Lee, Cheonbok Park, Jaegul Choo:
Towards Accurate Translation via Semantically Appropriate Application of Lexical Constraints. CoRR abs/2306.12089 (2023) - [i10]Chung Park, Junui Hong, Cheonbok Park, Taesan Kim, Minsung Choi, Jaegul Choo:
PASTA: PArallel Spatio-Temporal Attention with spatial auto-correlation gating for fine-grained crowd flow prediction. CoRR abs/2310.02284 (2023) - 2022
- [c12]Cheonbok Park, Hantae Kim, Ioan Calapodescu, Hyunchang Cho, Vassilina Nikoulina:
DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation. ACL (Findings) 2022: 1789-1807 - [c11]Daejin Kim, Youngin Cho, Dongmin Kim, Cheonbok Park, Jaegul Choo:
Residual Correction in Real-Time Traffic Forecasting. CIKM 2022: 962-971 - [c10]Jiyoung Lee, Hantae Kim, Hyunchang Cho, Edward Choi, Cheonbok Park:
Specializing Multi-domain NMT via Penalizing Low Mutual Information. EMNLP 2022: 10015-10026 - [c9]Taesung Kim, Jinhee Kim, Yunwon Tae, Cheonbok Park, Jang-Ho Choi, Jaegul Choo:
Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift. ICLR 2022 - [c8]Chung Park, Junui Hong, Cheonbok Park, Taesan Kim, Minsung Choi, Jaegul Choo:
PASTA: PArallel Spatio-Temporal Attention with Spatial Auto-Correlation Gating for Fine-Grained Crowd Flow Prediction. PAKDD (1) 2022: 354-366 - [i9]Cheonbok Park, Hantae Kim, Ioan Calapodescu, Hyunchang Cho, Vassilina Nikoulina:
DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation. CoRR abs/2204.09259 (2022) - [i8]Seungmin Jin, Hyunwook Lee, Cheonbok Park, Hyeshin Chu, Yunwon Tae, Jaegul Choo, Sungahn Ko:
A Visual Analytics System for Improving Attention-based Traffic Forecasting Models. CoRR abs/2208.04350 (2022) - [i7]Daejin Kim, Youngin Cho, Dongmin Kim, Cheonbok Park, Jaegul Choo:
Residual Correction in Real-Time Traffic Forecasting. CoRR abs/2209.05406 (2022) - [i6]Jihyeon Lee, Taehee Kim, Yunwon Tae, Cheonbok Park, Jaegul Choo:
PePe: Personalized Post-editing Model utilizing User-generated Post-edits. CoRR abs/2209.10139 (2022) - [i5]Jiyoung Lee, Hantae Kim, Hyunchang Cho, Edward Choi, Cheonbok Park:
Specializing Multi-domain NMT via Penalizing Low Mutual Information. CoRR abs/2210.12910 (2022) - 2021
- [c7]Cheonbok Park, Yunwon Tae, Taehee Kim, Soyoung Yang, Mohammad Azam Khan, Lucy Park, Jaegul Choo:
Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning. ACL/IJCNLP (1) 2021: 2888-2901 - [c6]Hyunwook Lee, Cheonbok Park, Seungmin Jin, Hyeshin Chu, Jaegul Choo, Sungahn Ko:
An Empirical Experiment on Deep Learning Models for Predicting Traffic Data. ICDE 2021: 1817-1822 - [c5]Cheonbok Park, Soyoung Yang, Inyoup Na, Sunghyo Chung, Sungbok Shin, Bum Chul Kwon, Deokgun Park, Jaegul Choo:
VATUN: Visual Analytics for Testing and Understanding Convolutional Neural Networks. EuroVis (Short Papers) 2021: 7-11 - [i4]Hyunwook Lee, Cheonbok Park, Seungmin Jin, Hyeshin Chu, Jaegul Choo, Sungahn Ko:
An Empirical Experiment on Deep Learning Models for Predicting Traffic Data. CoRR abs/2105.05504 (2021) - 2020
- [c4]Cheonbok Park, Chunggi Lee, Hyojin Bahng, Yunwon Tae, Seungmin Jin, Kihwan Kim, Sungahn Ko, Jaegul Choo:
ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed. CIKM 2020: 1215-1224 - [i3]Yunwon Tae, Cheonbok Park, Taehee Kim, Soyoung Yang, Mohammad Azam Khan, Eunjeong Park, Tao Qin, Jaegul Choo:
Meta-Learning for Low-Resource Unsupervised Neural MachineTranslation. CoRR abs/2010.09046 (2020)
2010 – 2019
- 2019
- [c3]Minsuk Choi, Cheonbok Park, Soyoung Yang, Yonggyu Kim, Jaegul Choo, Sungsoo Ray Hong:
AILA: Attentive Interactive Labeling Assistant for Document Classification through Attention-Based Deep Neural Networks. CHI 2019: 230 - [c2]Wooyoung Kim, Wonwoong Cho, Jangho Choi, Jiyong Kim, Cheonbok Park, Jaegul Choo:
A Comparison of the Effects of Data Imputation Methods on Model Performance. ICACT 2019: 592-599 - [c1]Cheonbok Park, Jaegul Choo, Inyoup Na, Yongjang Jo, Sungbok Shin, Jaehyo Yoo, Bum Chul Kwon, Jian Zhao, Hyungjong Noh, Yeonsoo Lee:
SANVis: Visual Analytics for Understanding Self-Attention Networks. IEEE VIS (Short Papers) 2019: 146-150 - [i2]Cheonbok Park, Inyoup Na, Yongjang Jo, Sungbok Shin, Jaehyo Yoo, Bum Chul Kwon, Jian Zhao, Hyungjong Noh, Yeonsoo Lee, Jaegul Choo:
SANVis: Visual Analytics for Understanding Self-Attention Networks. CoRR abs/1909.09595 (2019) - [i1]Cheonbok Park, Chunggi Lee, Hyojin Bahng, Taeyun won, Kihwan Kim, Seungmin Jin, Sungahn Ko, Jaegul Choo:
STGRAT: A Spatio-Temporal Graph Attention Network for Traffic Forecasting. CoRR abs/1911.13181 (2019)
Coauthor Index
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