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PePe: Personalized Post-editing Model utilizing User-generated Post-edits., , , , and . CoRR, (2022)PASTA: PArallel Spatio-Temporal Attention with spatial auto-correlation gating for fine-grained crowd flow prediction., , , , , and . CoRR, (2023)PePe: Personalized Post-editing Model utilizing User-generated Post-edits., , , , and . EACL (Findings), page 239-253. Association for Computational Linguistics, (2023)PASTA: PArallel Spatio-Temporal Attention with Spatial Auto-Correlation Gating for Fine-Grained Crowd Flow Prediction., , , , , and . PAKDD (1), volume 13280 of Lecture Notes in Computer Science, page 354-366. Springer, (2022)A Visual Analytics System for Improving Attention-based Traffic Forecasting Models., , , , , , and . IEEE Trans. Vis. Comput. Graph., 29 (1): 1102-1112 (2023)KMMLU: Measuring Massive Multitask Language Understanding in Korean., , , , , , , , and . CoRR, (2024)An Empirical Experiment on Deep Learning Models for Predicting Traffic Data., , , , , and . ICDE, page 1817-1822. IEEE, (2021)Residual Correction in Real-Time Traffic Forecasting., , , , and . CIKM, page 962-971. ACM, (2022)ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed., , , , , , , and . CIKM, page 1215-1224. ACM, (2020)VATUN: Visual Analytics for Testing and Understanding Convolutional Neural Networks., , , , , , , and . EuroVis (Short Papers), page 7-11. Eurographics Association, (2021)