PPaperPicks

Se-Young Yun

Korea Advanced Institute of Science and Technology (KAIST), Graduate School of AI Korea, Daejeon, South Korea

36 papers at tracked venues · 28 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0001-6675-5113 ↗Google Scholar ↗Homepage ↗

Venues

NeurIPS ×10ICML ×6ICLR ×5ACL ×4EMNLP ×4NAACL ×2AAAI ×1AISTATS ×1CVPR ×1ICCV ×1IJCAI ×1

Frequent coauthors

Taehyeon Kim
×8
Sungnyun Kim
×8
Sangmin Bae
×6
Hojung Jung
×5
Sungwoo Cho
×5
Jongwoo Ko
×5
Junghyun Lee
×4
Yongjin Yang
×4
Yujin Kim
×4
Kangwook Jang
×3
Sangmook Kim
×3
Minchan Jeong
×3

Papers

  1. MERIT Feedback Elicits Better Bargaining in LLM Negotiators
    ACL 2026 ·
    Jihwan Oh
    ,
    Murad Aghazada
    ,
    Yooju Shin
    , Se-Young Yun,
    Taehyeon Kim
  2. Multi-Drafter Speculative Decoding with Alignment Feedback
    ACL 2026 ·
    Taehyeon Kim
    ,
    Hojung Jung
    , Se-Young Yun
  3. Two Heads Are Better Than One: Audio-Visual Speech Error Correction with Dual Hypotheses
    ACL 2026 ·
    Sungnyun Kim
    ,
    Kangwook Jang
    ,
    Sungwoo Cho
    ,
    Joon Son Chung
    ,
    Hoirin Kim
    , Se-Young Yun
  4. AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners
    NeurIPS 2025 ·
    Reiss Koh
    ,
    Wonbeen Oh
    ,
    Jaein Jang
    ,
    Minhyung Lee
    ,
    Hyeongjin Kim
    ,
    Ah Yeon Kim
    ,
    Joonkee Kim
    ,
    Junghyun Lee
    ,
    Taehyeon Kim
    , Se-Young Yun
  5. Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models
    ICLR 2025 ·
    Yongjin Yang
    ,
    Sihyeon Kim
    ,
    Hojung Jung
    ,
    Sangmin Bae
    ,
    SangMook Kim
    , Se-Young Yun,
    Kimin Lee
  6. C²: Scalable Auto-Feedback for LLM-based Chart Generation
    NAACL 2025 ·
    Woosung Koh
    ,
    Jang Han Yoon
    ,
    Minhyung Lee
    ,
    Youngjin Song
    ,
    Jaegwan Cho
    ,
    Jaehyun Kang
    ,
    Taehyeon Kim
    , Se-Young Yun,
    Youngjae Yu
    ,
    Bongshin Lee
  7. DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs
    ICML 2025 ·
    Jongwoo Ko
    ,
    Tianyi Chen
    ,
    Sungnyun Kim
    ,
    Tianyu Ding
    ,
    Luming Liang
    ,
    Ilya Zharkov
    , Se-Young Yun
  8. Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems
    NeurIPS 2025 ·
    Minchan Jeong
    ,
    Jongha Ryu
    , Se-Young Yun,
    Gregory W. Wornell
  9. Flex-Judge: Text-Only Reasoning Unleashes Zero-Shot Multimodal Evaluators
    NeurIPS 2025 ·
    Jongwoo Ko
    ,
    Sungnyun Kim
    ,
    Sungwoo Cho
    , Se-Young Yun
  10. FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement Learning
    ICLR 2025 ·
    Woosung Koh
    ,
    Wonbeen Oh
    ,
    Siyeol Kim
    ,
    Suhin Shin
    ,
    Hyeongjin Kim
    ,
    Jaein Jang
    ,
    Junghyun Lee
    , Se-Young Yun
  11. KLASS: KL-Guided Fast Inference in Masked Diffusion Models
    NeurIPS 2025 ·
    Seo Hyun Kim
    ,
    Sunwoo Hong
    ,
    Hojung Jung
    ,
    Youngrok Park
    , Se-Young Yun
  12. MA2E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder
    ICLR 2025 ·
    Sehyeok Kang
    ,
    Yongsik Lee
    ,
    Gahee Kim
    ,
    Song Chong
    , Se-Young Yun
  13. MAVFlow: Preserving Paralinguistic Elements with Conditional Flow Matching for Zero-Shot AV2AV Multilingual Translation
    ICCV 2025 ·
    Sungwoo Cho
    ,
    Jeongsoo Choi
    ,
    Sungnyun Kim
    , Se-Young Yun
  14. Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
    NeurIPS 2025 ·
    Sangmin Bae
    ,
    Yujin Kim
    ,
    Reza Bayat
    ,
    Sungnyun Kim
    ,
    Jiyoun Ha
    ,
    Tal Schuster
    ,
    Adam Fisch
    ,
    Hrayr Harutyunyan
    ,
    Ziwei Ji
    ,
    Aaron C. Courville
    , Se-Young Yun
  15. MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition
    ICML 2025 ·
    Sungnyun Kim
    ,
    Kangwook Jang
    ,
    Sangmin Bae
    ,
    Sungwoo Cho
    , Se-Young Yun
  16. Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation
    ICLR 2025 ·
    Sungnyun Kim
    ,
    Sungwoo Cho
    ,
    Sangmin Bae
    ,
    Kangwook Jang
    , Se-Young Yun
  17. QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval
    ICML 2025 ·
    Jaehyun Kwak
    ,
    Ramahdani Muhammad Izaaz Inhar
    , Se-Young Yun,
    Sung-Ju Lee
  18. Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model
    ICML 2025 ·
    Kaito Ariu
    ,
    Alexandre Proutière
    , Se-Young Yun
  19. Self-Training Elicits Concise Reasoning in Large Language Models
    ACL 2025 ·
    Tergel Munkhbat
    ,
    Namgyu Ho
    ,
    Seo Hyun Kim
    ,
    Yongjin Yang
    ,
    Yujin Kim
    , Se-Young Yun
  20. A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
    NeurIPS 2024 ·
    Junghyun Lee
    , Se-Young Yun,
    Kwang-Sung Jun
  21. An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints
    NeurIPS 2024 ·
    Jung-Hun Kim
    ,
    Milan Vojnovic
    , Se-Young Yun
  22. BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization
    EMNLP 2024 ·
    Gihun Lee
    ,
    Minchan Jeong
    ,
    Yujin Kim
    ,
    Hojung Jung
    ,
    Jaehoon Oh
    ,
    SangMook Kim
    , Se-Young Yun
  23. Block Transformer: Global-to-Local Language Modeling for Fast Inference
    NeurIPS 2024 ·
    Namgyu Ho
    ,
    Sangmin Bae
    ,
    Taehyeon Kim
    ,
    Hyunjik Jo
    ,
    Yireun Kim
    ,
    Tal Schuster
    ,
    Adam Fisch
    ,
    James Thorne
    , Se-Young Yun
  24. Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models
    NAACL 2024 ·
    Yujin Kim
    ,
    Jaehong Yoon
    ,
    Seonghyeon Ye
    ,
    Sangmin Bae
    ,
    Namgyu Ho
    ,
    Sung Ju Hwang
    , Se-Young Yun
  25. Conditional Synthesis of 3D Molecules with Time Correction Sampler
    NeurIPS 2024 ·
    Hojung Jung
    ,
    Youngrok Park
    ,
    Laura Schmid
    ,
    Jaehyeong Jo
    ,
    Dongkyu Lee
    ,
    Bongsang Kim
    , Se-Young Yun,
    Jinwoo Shin
  26. DistiLLM: Towards Streamlined Distillation for Large Language Models
    ICML 2024 ·
    Jongwoo Ko
    ,
    Sungnyun Kim
    ,
    Tianyi Chen
    , Se-Young Yun
  27. FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
    CVPR 2024 ·
    Gihun Lee
    ,
    Minchan Jeong
    ,
    Sangmook Kim
    ,
    Jaehoon Oh
    , Se-Young Yun
  28. Fine-tuning Pre-trained Models for Robustness under Noisy Labels
    IJCAI 2024 ·
    Sumyeong Ahn
    ,
    Sihyeon Kim
    ,
    Jongwoo Ko
    , Se-Young Yun
  29. Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion
    AISTATS 2024 ·
    Junghyun Lee
    , Se-Young Yun,
    Kwang-Sung Jun
  30. Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions
    ICLR 2024 ·
    Taehyeon Kim
    ,
    Joonkee Kim
    ,
    Gihun Lee
    , Se-Young Yun
  31. Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning
    AAAI 2024 ·
    Yongjin Yang
    ,
    Taehyeon Kim
    , Se-Young Yun
  32. Preference Alignment with Flow Matching
    NeurIPS 2024 ·
    Minu Kim
    ,
    Yongsik Lee
    ,
    Sehyeok Kang
    ,
    Jihwan Oh
    ,
    Song Chong
    , Se-Young Yun
  33. Stable Language Model Pre-training by Reducing Embedding Variability
    EMNLP 2024 ·
    Woojin Chung
    ,
    Jiwoo Hong
    ,
    Na Min An
    ,
    James Thorne
    , Se-Young Yun
  34. Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs
    ICML 2024 ·
    Mingyu Kim
    ,
    Jun-Seong Kim
    , Se-Young Yun,
    Jin-Hwa Kim
  35. Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models
    EMNLP 2024 ·
    Yongjin Yang
    ,
    Jongwoo Ko
    , Se-Young Yun
  36. Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters
    EMNLP 2024 ·
    Euiin Yi
    ,
    Taehyeon Kim
    ,
    Hongseok Jeung
    ,
    Du-Seong Chang
    , Se-Young Yun