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SeongKu Kang

27 papers at tracked venues · 20 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. CREAM: Continual Retrieval on Dynamic Streaming Corpora with Adaptive Soft Memory
  2. Capturing User Interests from Data Streams for Continual Sequential Recommendation
  3. FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation
  4. Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders
  5. MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender
  6. PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval
  7. SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based Recommendation
  8. Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths
  9. Chain-of-Factors Paper-Reviewer Matching
  10. Continual Recommender Systems
  11. Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark
  12. Embracing Plasticity: Balancing Stability and Plasticity in Continual Recommender Systems
  13. Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation
    WSDM 2025 · SeongKu Kang
  14. Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation
  15. Scientific Paper Retrieval with LLM-Guided Semantic-Based Ranking
  16. Topic Coverage-based Demonstration Retrieval for In-Context Learning
  17. Uncertainty Quantification and Decomposition for LLM-based Recommendation
  18. Unsupervised Robust Cross-Lingual Entity Alignment via Neighbor Triple Matching with Entity and Relation Texts
  19. Continual Collaborative Distillation for Recommender System
  20. Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy
    WWW 2024 · SeongKu Kang
  21. Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection
  22. Multi-Domain Recommendation to Attract Users via Domain Preference Modeling
  23. Multi-Domain Sequential Recommendation via Domain Space Learning
  24. Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset
  25. Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy
  26. Taxonomy-guided Semantic Indexing for Academic Paper Search
    EMNLP 2024 · SeongKu Kang
  27. Top-Personalized-K Recommendation