Juhwan Choi

According to our database, Juhwan Choi authored at least 19 papers between 2019 and 2025.

Collaborative distances:

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

2025

Beyond Single-User Dialogue: Assessing Multi-User Dialogue State Tracking Capabilities of Large Language Models.

Sangmin Song, Juhwan Choi, JungMin Yun, YoungBin Kim

CoRR, June, 2025

Korean football in-game conversation state tracking dataset for dialogue and turn level evaluation.

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

Eng. Appl. Artif. Intell., 2025

See-Saw Modality Balance: See Gradient, and Sew Impaired Vision-Language Balance to Mitigate Dominant Modality Bias.

Junehyoung Kwon, Mihyeon Kim, Eunju Lee, Juhwan Choi, YoungBin Kim

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Delving into Multilingual Ethical Bias: The MSQAD with Statistical Hypothesis Tests for Large Language Models.

Seunguk Yu, Juhwan Choi, YoungBin Kim

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models.

Kyeonghyun Kim, Jinhee Jang, Juhwan Choi, Yoonji Lee, Kyohoon Jin, YoungBin Kim

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

SummPilot: Bridging Efficiency and Customization for Interactive Summarization System.

Jungmin Yun, Juhwan Choi, Kyohoon Jin, Soojin Jang, Jinhee Jang, YoungBin Kim

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Questioning Internal Knowledge Structure of Large Language Models Through the Lens of the Olympic Games.

Juhwan Choi, YoungBin Kim

CoRR, 2024

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

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

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

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

Juhwan Choi, Jungmin Yun, Kyohoon Jin, Youngbin Kim

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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