Juhwan Choi

38 papers A* 4Journal 20Unranked 14
YearRankTypeTitle / Venue / Authors
2026 — conf
Position Paper: How Should We Responsibly Adopt LLMs in the Peer Review Process?
EACL (Findings)
Juhwan Choi, Jungmin Yun, Changhun Kim, YoungBin Kim
2026 J jnl
SUMMPILOT: Bridging Efficiency and Customization for Interactive Summarization System.
CoRR
Jungmin Yun, Juhwan Choi, Kyohoon Jin, Soojin Jang, Jinhee Jang, YoungBin Kim
2025 — conf
Beyond Single-User Dialogue: Assessing Multi-User Dialogue State Tracking Capabilities of Large Language Models.
EMNLP (Findings)
Sangmin Song, Juhwan Choi, Jungmin Yun, YoungBin Kim
2025 J jnl
Beyond Single-User Dialogue: Assessing Multi-User Dialogue State Tracking Capabilities of Large Language Models.
CoRR
Sangmin Song, Juhwan Choi, Jungmin Yun, YoungBin Kim
2025 A* conf
CoBA: Counterbias Text Augmentation for Mitigating Various Spurious Correlations via Semantic Triples.
EMNLP
Kyohoon Jin, Juhwan Choi, Jungmin Yun, Junho Lee, Soojin Jang, YoungBin Kim
2025 J jnl
CoBA: Counterbias Text Augmentation for Mitigating Various Spurious Correlations via Semantic Triples.
CoRR
Kyohoon Jin, Juhwan Choi, Jungmin Yun, Junho Lee, Soojin Jang, YoungBin Kim
2025 — conf
Delving into Multilingual Ethical Bias: The MSQAD with Statistical Hypothesis Tests for Large Language Models.
ACL (1)
Seunguk Yu, Juhwan Choi, YoungBin Kim
2025 J jnl
Delving into Multilingual Ethical Bias: The MSQAD with Statistical Hypothesis Tests for Large Language Models.
CoRR
Seunguk Yu, Juhwan Choi, YoungBin Kim
2025 J jnl
EMR-AGENT: Automating Cohort and Feature Extraction from EMR Databases.
CoRR
Kwanhyung Lee, Sungsoo Hong, Joonhyung Park, Jeonghyeop Lim, Juhwan Choi, Donghwee Yoon, Eunho Yang
2025 J jnl
Korean football in-game conversation state tracking dataset for dialogue and turn level evaluation.
Eng. Appl. Artif. Intell.
Sangmin Song, Juhyoung Park, Juhwan Choi, Junho Lee, Kyohoon Jin, YoungBin Kim
2025 — conf
Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models.
ACL (1)
Kyeonghyun Kim, Jinhee Jang, Juhwan Choi, Yoonji Lee, Kyohoon Jin, YoungBin Kim
2025 J jnl
Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models.
CoRR
Kyeonghyun Kim, Jinhee Jang, Juhwan Choi, Yoonji Lee, Kyohoon Jin, YoungBin Kim
2025 — conf
See-Saw Modality Balance: See Gradient, and Sew Impaired Vision-Language Balance to Mitigate Dominant Modality Bias.
NAACL (Long Papers)
JuneHyoung Kwon, MiHyeon Kim, Eunju Lee, Juhwan Choi, YoungBin Kim
2025 J jnl
See-Saw Modality Balance: See Gradient, and Sew Impaired Vision-Language Balance to Mitigate Dominant Modality Bias.
CoRR
JuneHyoung Kwon, MiHyeon Kim, Eunju Lee, Juhwan Choi, YoungBin Kim
2025 A* conf
SummPilot: Bridging Efficiency and Customization for Interactive Summarization System.
AAAI
Jungmin Yun, Juhwan Choi, Kyohoon Jin, Soojin Jang, Jinhee Jang, YoungBin Kim
2025 — conf
VolDoGER: LLM-Assisted Datasets for Domain Generalization in Vision-Language Tasks.
ICCVW
Juhwan Choi, JuneHyoung Kwon, Jungmin Yun, Seunguk Yu, YoungBin Kim
2024 — conf
Adverb Is the Key: Simple Text Data Augmentation with Adverb Deletion.
Tiny Papers @ ICLR
Juhwan Choi, YoungBin Kim
2024 J jnl
Adverb Is the Key: Simple Text Data Augmentation with Adverb Deletion.
CoRR
Juhwan Choi, YoungBin Kim
2024 — conf
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes.
EACL (Student Research Workshop)
Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, YoungBin Kim
2024 J jnl
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes.
CoRR
Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, YoungBin Kim
2024 — conf
Colorful Cutout: Enhancing Image Data Augmentation with Curriculum Learning.
Tiny Papers @ ICLR
Juhwan Choi, YoungBin Kim
2024 J jnl
Colorful Cutout: Enhancing Image Data Augmentation with Curriculum Learning.
CoRR
Juhwan Choi, YoungBin Kim
2024 — conf
Don't be a Fool: Pooling Strategies in Offensive Language Detection from User-Intended Adversarial Attacks.
NAACL-HLT (Findings)
Seunguk Yu, Juhwan Choi, YoungBin Kim
2024 J jnl
Don't be a Fool: Pooling Strategies in Offensive Language Detection from User-Intended Adversarial Attacks.
CoRR
Seunguk Yu, Juhwan Choi, YoungBin Kim
2024 — conf
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation.
LREC/COLING
Kyohoon Jin, Junho Lee, Juhwan Choi, Sangmin Song, YoungBin Kim
2024 J jnl
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation.
CoRR
Kyohoon Jin, Junho Lee, Juhwan Choi, Sangmin Song, YoungBin Kim
2024 — conf
GPTs Are Multilingual Annotators for Sequence Generation Tasks.
EACL (Findings)
Juhwan Choi, Eunju Lee, Kyohoon Jin, YoungBin Kim
2024 J jnl
GPTs Are Multilingual Annotators for Sequence Generation Tasks.
CoRR
Juhwan Choi, Eunju Lee, Kyohoon Jin, YoungBin Kim
2024 A* conf
Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation.
EMNLP
Juhwan Choi, Jungmin Yun, Kyohoon Jin, YoungBin Kim
2024 J jnl
Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation.
CoRR
Juhwan Choi, Jungmin Yun, Kyohoon Jin, YoungBin Kim
2024 J jnl
Questioning Internal Knowledge Structure of Large Language Models Through the Lens of the Olympic Games.
CoRR
Juhwan Choi, YoungBin Kim
2024 J jnl
SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels.
CoRR
Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, YoungBin Kim
2024 A* conf
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation.
EMNLP
Juhwan Choi, Yeonghwa Kim, Seunguk Yu, Jungmin Yun, YoungBin Kim
2024 J jnl
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation.
CoRR
Juhwan Choi, Yeonghwa Kim, Seunguk Yu, Jungmin Yun, YoungBin Kim
2024 J jnl
VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks.
CoRR
Juhwan Choi, JuneHyoung Kwon, Jungmin Yun, Seunguk Yu, YoungBin Kim
2023 — conf
SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels.
Tiny Papers @ ICLR
Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, YoungBin Kim
2022 — conf
Generative Data Augmentation via Wasserstein Autoencoder for Text Classification.
ICTC
Kyohoon Jin, Junho Lee, Juhwan Choi, Soojin Jang, YoungBin Kim
2019 J jnl
Data-driven simulation for general purpose multibody dynamics using deep neural networks.
CoRR
Heesun Choi, Junmo An, Jin-Gyun Kim, Jae-Yoon Jung, Juhwan Choi, Grzegorz Orzechowski, Aki Mikkola, Jin-Hwan Choi