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Hee Suk Yoon

8 papers at tracked venues · 6 at CORE A* · active 2024–2025

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Venues

ICLR ×2AAAI ×1ACL ×1ECCV ×1ICML ×1InterSpeech ×1NeurIPS ×1

Frequent coauthors

Eunseop Yoon
×8
Chang Dong Yoo
×8
Mark Hasegawa-Johnson
×5
Joshua Tian Jin Tee
×3
Sungwoong Kim
×2
Abu Hanif Muhammad Syarubany
×1
Kang Zhang
×1
Yu-Jung Heo
×1
Du-Seong Chang
×1
Yingzhen Li
×1
John B. Harvill
×1
Hyun Ryu
×1

Papers

  1. A Gradient Guidance Perspective on Stepwise Preference Optimization for Diffusion Models
    NeurIPS 2025 ·
    Joshua Tian Jin Tee
    , Hee Suk Yoon,
    Abu Hanif Muhammad Syarubany
    ,
    Eunseop Yoon
    ,
    Chang D. Yoo
  2. Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models
    ICLR 2025 ·
    Eunseop Yoon
    , Hee Suk Yoon,
    Mark A. Hasegawa-Johnson
    ,
    Chang D. Yoo
  3. ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization
    ICML 2025 · Hee Suk Yoon,
    Eunseop Yoon
    ,
    Mark A. Hasegawa-Johnson
    ,
    Sungwoong Kim
    ,
    Chang D. Yoo
  4. BI-MDRG: Bridging Image History in Multimodal Dialogue Response Generation
    ECCV 2024 · Hee Suk Yoon,
    Eunseop Yoon
    ,
    Joshua Tian Jin Tee
    ,
    Kang Zhang
    ,
    Yu-Jung Heo
    ,
    Du-Seong Chang
    ,
    Chang D. Yoo
  5. C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion
    ICLR 2024 · Hee Suk Yoon,
    Eunseop Yoon
    ,
    Joshua Tian Jin Tee
    ,
    Mark A. Hasegawa-Johnson
    ,
    Yingzhen Li
    ,
    Chang D. Yoo
  6. LI-TTA: Language Informed Test-Time Adaptation for Automatic Speech Recognition
    InterSpeech 2024 ·
    Eunseop Yoon
    , Hee Suk Yoon,
    John B. Harvill
    ,
    Mark Hasegawa-Johnson
    ,
    Chang D. Yoo
  7. SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation
    AAAI 2024 ·
    Hyun Ryu
    ,
    Sunjae Yoon
    , Hee Suk Yoon,
    Eunseop Yoon
    ,
    Chang D. Yoo
  8. TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback
    ACL 2024 ·
    Eunseop Yoon
    , Hee Suk Yoon,
    SooHwan Eom
    ,
    Gunsoo Han
    ,
    Daniel Wontae Nam
    ,
    Daejin Jo
    ,
    Kyoung-Woon On
    ,
    Mark Hasegawa-Johnson
    ,
    Sungwoong Kim
    ,
    Chang Dong Yoo