Juhwan Choi

According to our database, Juhwan Choi authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks.

Juhwan Choi, Junehyoung Kwon, Jungmin Yun, Seunguk Yu, YoungBin Kim

CoRR, 2024

UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation.

Juhwan Choi, Yeonghwa Kim, Seunguk Yu, Jungmin Yun, YoungBin Kim

CoRR, 2024

Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation.

Juhwan Choi, Jungmin Yun, Kyohoon Jin, YoungBin Kim

CoRR, 2024

Don't be a Fool: Pooling Strategies in Offensive Language Detection from User-Intended Adversarial Attacks.

Seunguk Yu, Juhwan Choi, Youngbin Kim

CoRR, 2024

Adverb Is the Key: Simple Text Data Augmentation with Adverb Deletion.

Juhwan Choi, YoungBin Kim

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Colorful Cutout: Enhancing Image Data Augmentation with Curriculum Learning.

Juhwan Choi, YoungBin Kim

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

GPTs Are Multilingual Annotators for Sequence Generation Tasks.

Juhwan Choi, Eunju Lee, Kyohoon Jin, YoungBin Kim

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes.

Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, YoungBin Kim

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation.

Kyohoon Jin, Junho Lee, Juhwan Choi, Sangmin Song, Youngbin Kim

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels.

Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, YoungBin Kim

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

Generative Data Augmentation via Wasserstein Autoencoder for Text Classification.

Kyohoon Jin, Junho Lee, Juhwan Choi, Soojin Jang, Youngbin Kim

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

2019

Data-driven simulation for general purpose multibody dynamics using deep neural networks.

Hee-Sun Choi, Junmo An, Jin-Gyun Kim, Jae-Yoon Jung, Juhwan Choi, Grzegorz Orzechowski, Aki Mikkola, Jin-Hwan Choi

CoRR, 2019