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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

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Venues

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

Frequent coauthors

Sungnyun Kim
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Yongjin Yang
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Jongwoo Ko
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Taehyeon Kim
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Woosung Koh
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Junghyun Lee
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Gihun Lee
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Jihwan Oh
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Reiss Koh
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Minchan Jeong
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Seo Hyun Kim
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Sehyeok Kang
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Papers

  1. MERIT Feedback Elicits Better Bargaining in LLM Negotiators
    ACL 2026 ·
    Jihwan Oh
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  2. Multi-Drafter Speculative Decoding with Alignment Feedback
    ACL 2026 ·
    Taehyeon Kim
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  3. Two Heads Are Better Than One: Audio-Visual Speech Error Correction with Dual Hypotheses
    ACL 2026 ·
    Sungnyun Kim
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  4. AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners
    NeurIPS 2025 ·
    Reiss Koh
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  5. Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models
    ICLR 2025 ·
    Yongjin Yang
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  6. C²: Scalable Auto-Feedback for LLM-based Chart Generation
    NAACL 2025 ·
    Woosung Koh
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  7. DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs
    ICML 2025 ·
    Jongwoo Ko
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  8. Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems
    NeurIPS 2025 ·
    Minchan Jeong
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  9. Flex-Judge: Text-Only Reasoning Unleashes Zero-Shot Multimodal Evaluators
    NeurIPS 2025 ·
    Jongwoo Ko
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  10. FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement Learning
    ICLR 2025 ·
    Woosung Koh
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  11. KLASS: KL-Guided Fast Inference in Masked Diffusion Models
    NeurIPS 2025 ·
    Seo Hyun Kim
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  12. MA2E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder
    ICLR 2025 ·
    Sehyeok Kang
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  13. MAVFlow: Preserving Paralinguistic Elements with Conditional Flow Matching for Zero-Shot AV2AV Multilingual Translation
    ICCV 2025 ·
    Sungwoo Cho
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  14. Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
    NeurIPS 2025 ·
    Sangmin Bae
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  15. MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition
    ICML 2025 ·
    Sungnyun Kim
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  16. Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation
    ICLR 2025 ·
    Sungnyun Kim
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  17. QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval
    ICML 2025 ·
    Jaehyun Kwak
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  18. Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model
    ICML 2025 ·
    Kaito Ariu
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  19. Self-Training Elicits Concise Reasoning in Large Language Models
    ACL 2025 ·
    Tergel Munkhbat
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  20. A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
    NeurIPS 2024 ·
    Junghyun Lee
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  21. An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints
    NeurIPS 2024 ·
    Jung-Hun Kim
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  22. BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization
    EMNLP 2024 ·
    Gihun Lee
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  23. Block Transformer: Global-to-Local Language Modeling for Fast Inference
    NeurIPS 2024 ·
    Namgyu Ho
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  24. Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models
    NAACL 2024 ·
    Yujin Kim
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  25. Conditional Synthesis of 3D Molecules with Time Correction Sampler
    NeurIPS 2024 ·
    Hojung Jung
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  26. DistiLLM: Towards Streamlined Distillation for Large Language Models
    ICML 2024 ·
    Jongwoo Ko
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  27. FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
    CVPR 2024 ·
    Gihun Lee
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  28. Fine-tuning Pre-trained Models for Robustness under Noisy Labels
    IJCAI 2024 ·
    Sumyeong Ahn
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  29. Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion
    AISTATS 2024 ·
    Junghyun Lee
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  30. Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions
    ICLR 2024 ·
    Taehyeon Kim
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  31. Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning
    AAAI 2024 ·
    Yongjin Yang
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  32. Preference Alignment with Flow Matching
    NeurIPS 2024 ·
    Minu Kim
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  33. Stable Language Model Pre-training by Reducing Embedding Variability
    EMNLP 2024 ·
    Woojin Chung
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  34. Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs
    ICML 2024 ·
    Mingyu Kim
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  35. Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models
    EMNLP 2024 ·
    Yongjin Yang
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  36. Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters
    EMNLP 2024 ·
    Euiin Yi
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