Hwanjo Yu

Venues

Frequent coauthors

Papers

1. COMPASS: A Framework for Evaluating Organization-Specific Policy Alignment in LLMs
   ACL 2026 ·

   Dasol Choi

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2. Capturing User Interests from Data Streams for Continual Sequential Recommendation
   WSDM 2026 ·

   Gyuseok Lee

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3. Dynamic Multi-period Experts for Online Time Series Forecasting
   WWW 2026 ·

   Seungha Hong

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4. Exploring Iterative Controllable Summarization with Large Language Models
   EACL 2026 ·

   Sangwon Ryu

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5. FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation
   SIGIR 2026 ·

   WooJoo Kim

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6. Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders
   SIGIR 2026 ·

   Jaehyun Lee

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7. Harmonic Dataset Distillation for Time Series Forecasting
   AAAI 2026 ·

   Seungha Hong

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8. PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval
   WWW 2026 ·

   Wonbin Kweon

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9. Valid Necessary: Diagnosing Latent Inefficiency in Chain-of-Thought
   ACL 2026 ·

   DaeYeop Lee

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10. Are Vision-Language Models Safe in the Wild? A Meme-Based Benchmark Study
    EMNLP 2025 ·

    DongGeon Lee

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11. Collaborative Diffusion Model for Recommender System
    WWW 2025 ·

    Gyuseok Lee

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12. Controlling Diversity at Inference: Guiding Diffusion Recommender Models with Targeted Category Preferences
    SIGKDD 2025 ·

    Gwangseok Han

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13. Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark
    SIGKDD 2025 ·

    Suyeon Kim

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14. Federated Continual Recommendation
    CIKM 2025 ·

    Jaehyung Lim

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15. How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code
    EMNLP 2025 ·

    Seonghyeon Lee

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16. Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation
    WSDM 2025 ·

    SeongKu Kang

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17. StepER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models
    EMNLP 2025 ·

    Kyumin Lee

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18. Topic Coverage-based Demonstration Retrieval for In-Context Learning
    EMNLP 2025 ·

    Wonbin Kweon

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19. Uncertainty Quantification and Decomposition for LLM-based Recommendation
    WWW 2025 ·

    Wonbin Kweon

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20. Verbosity-Aware Rationale Reduction: Sentence-Level Rationale Reduction for Efficient and Effective Reasoning
    ACL 2025 ·

    Joonwon Jang

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21. Continual Collaborative Distillation for Recommender System
    SIGKDD 2024 ·

    Gyuseok Lee

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22. Doubly Calibrated Estimator for Recommendation on Data Missing Not at Random
    WWW 2024 ·

    Wonbin Kweon

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23. Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation
    EMNLP 2024 ·

    Seonghyeon Lee

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24. Exploring Language Model's Code Generation Ability with Auxiliary Functions
    NAACL 2024 ·

    Seonghyeon Lee

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25. Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy
    WWW 2024 ·

    SeongKu Kang

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26. Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection
    CVPR 2024 ·

    Suyeon Kim

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27. Multi-Domain Recommendation to Attract Users via Domain Preference Modeling
    AAAI 2024 ·

    Hyunjun Ju

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28. Multi-Domain Sequential Recommendation via Domain Space Learning
    SIGIR 2024 ·

    Junyoung Hwang

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29. Rectifying Demonstration Shortcut in In-Context Learning
    NAACL 2024 ·

    Joonwon Jang

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30. Taxonomy-guided Semantic Indexing for Academic Paper Search
    EMNLP 2024 ·

    SeongKu Kang

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31. Top-Personalized-K Recommendation
    WWW 2024 ·

    Wonbin Kweon

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