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Juhwan Choi
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2020 – today
- 2024
- [c10]Kyohoon Jin, Junho Lee, Juhwan Choi, Sangmin Song, Youngbin Kim:
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation. LREC/COLING 2024: 5930-5943 - [c9]Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, YoungBin Kim:
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes. EACL (Student Research Workshop) 2024: 1-8 - [c8]Juhwan Choi, Eunju Lee
, Kyohoon Jin, YoungBin Kim:
GPTs Are Multilingual Annotators for Sequence Generation Tasks. EACL (Findings) 2024: 17-40 - [c7]Juhwan Choi, Yeonghwa Kim, Seunguk Yu, Jungmin Yun, Youngbin Kim:
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation. EMNLP 2024: 1-14 - [c6]Juhwan Choi, Jungmin Yun, Kyohoon Jin, Youngbin Kim:
Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation. EMNLP 2024: 15-29 - [c5]Juhwan Choi, YoungBin Kim:
Colorful Cutout: Enhancing Image Data Augmentation with Curriculum Learning. Tiny Papers @ ICLR 2024 - [c4]Juhwan Choi, YoungBin Kim:
Adverb Is the Key: Simple Text Data Augmentation with Adverb Deletion. Tiny Papers @ ICLR 2024 - [c3]Seunguk Yu, Juhwan Choi, YoungBin Kim:
Don't be a Fool: Pooling Strategies in Offensive Language Detection from User-Intended Adversarial Attacks. NAACL-HLT (Findings) 2024: 3456-3467 - [i12]Juhwan Choi, Eunju Lee, Kyohoon Jin, YoungBin Kim:
GPTs Are Multilingual Annotators for Sequence Generation Tasks. CoRR abs/2402.05512 (2024) - [i11]Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, Youngbin Kim:
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes. CoRR abs/2402.05584 (2024) - [i10]Juhwan Choi, Kyohoon Jin
SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels. CoRR abs/2402.05591 (2024) - [i9]Seunguk Yu, Juhwan Choi, Youngbin Kim:
Don't be a Fool: Pooling Strategies in Offensive Language Detection from User-Intended Adversarial Attacks. CoRR abs/2403.15467 (2024) - [i8]Kyohoon Jin, Junho Lee, Juhwan Choi, Sangmin Song, Youngbin Kim:
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation. CoRR abs/2403.15512 (2024) - [i7]Juhwan Choi, YoungBin Kim:
Colorful Cutout: Enhancing Image Data Augmentation with Curriculum Learning. CoRR abs/2403.20012 (2024) - [i6]Juhwan Choi, YoungBin Kim:
Adverb Is the Key: Simple Text Data Augmentation with Adverb Deletion. CoRR abs/2403.20015 (2024) - [i5]Juhwan Choi, Jungmin Yun, Kyohoon Jin, YoungBin Kim:
Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation. CoRR abs/2404.09682 (2024) - [i4]Juhwan Choi, Yeonghwa Kim, Seunguk Yu, Jungmin Yun, YoungBin Kim:
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation. CoRR abs/2405.01022 (2024) - [i3]Juhwan Choi, Junehyoung Kwon, Jungmin Yun, Seunguk Yu, YoungBin Kim:
VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks. CoRR abs/2407.19795 (2024) - [i2]Juhwan Choi, YoungBin Kim:
Questioning Internal Knowledge Structure of Large Language Models Through the Lens of the Olympic Games. CoRR abs/2409.06518 (2024) - 2023
- [c2]Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, YoungBin Kim:
SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels. Tiny Papers @ ICLR 2023 - 2022
- [c1]Kyohoon Jin, Junho Lee, Juhwan Choi, Soojin Jang, Youngbin Kim:
Generative Data Augmentation via Wasserstein Autoencoder for Text Classification. ICTC 2022: 603-607
2010 – 2019
- 2019
- [i1]Hee-Sun Choi, Junmo An, Jin-Gyun Kim, Jae-Yoon Jung, Juhwan Choi, Grzegorz Orzechowski, Aki Mikkola, Jin-Hwan Choi:
Data-driven simulation for general purpose multibody dynamics using deep neural networks. CoRR abs/1909.02391 (2019)
Coauthor Index
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