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CIKM 2025

A

ACM International Conference on Information and Knowledge Management

Official site ↗
853
accepted papers
822
authors
November 10-14, 2025
dates
Korea
location

853 / 853 papers

  1. 1
    +VeriRel: Verification Feedback to Enhance Document Retrieval for Scientific Fact Checking
    Xingyu Deng
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  2. 2
    A Comparative Analysis of Linguistic and Retrieval Diversity in LLM-Generated Search Queries
    Oleg Zendel
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  3. 3
    A Comprehensive Toolkit for Generalized Robust Vision
    Zhao Li
    DBLP profile ↗ORCID 0000-0002-5056-0351 ↗
  4. 4
    A Content-Driven Micro-Video Recommendation Dataset at Scale
    Yongxin Ni
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  5. 5
    A Cost-Aware Approach for Collaborating Large Language Models and Small Language Models
    Zheng Li
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  6. 6
    A Cost-Effective Framework to Evaluate LLM-Generated Relevance Judgements
    Simone Merlo
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  7. 7
    A Demonstration of PKGem: Secure Enrichment of Personal Knowledge Graphs
    Junzhou Su
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  8. 8
    A Hierarchical Structure-Enhanced Personalized Recommendation Model for Traditional Chinese Medicine Formulas Based on KG Diffusion Guidance
    Chaobo Zhang
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  9. 9
    A Large-Scale Dataset of Interactions Between Weibo Users and Platform-Empowered LLM Agent
    Shaokui Gu
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  10. 10
    A Large-Scale Web Search Dataset for Federated Online Learning to Rank
    Marcel Gregoriadis
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  11. 11
    A Node-Aware Dynamic Quantization Approach for Graph Collaborative Filtering
    Lin Li
    DBLP profile ↗ORCID 0000-0001-7553-6916 ↗
  12. 12
    A Pivot-Enhanced Question Answering Framework: Using Iterative Sub-Question Decomposition and Answer-to-Question Verification
    Seyeon Park
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  13. 13
    A Privacy-preserving Spatial Dataset Joinable Search in Cloud
    Zhengkai Zhang
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  14. 14
    A Robust and High-Efficiency Active Clustering Framework with Multi-User Collaboration
    Wen-Bo Xie
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  15. 15
    A Robust Clustered Federated Learning Approach for Non-IID Data with Quantity Skew
    Michael Ben Ali
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  16. 16
    A Self-Supervised Mixture-of-Experts Framework for Multi-behavior Recommendation
    Kyungho Kim
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  17. 17
    A Soft-partitioned Semi-supervised Collaborative Transfer Learning Approach for Multi-Domain Recommendation
    Xiaoyu Liu
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  18. 18
    A Tutorial on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide
    Sunwoo Kim
    DBLP profile ↗ORCID 0009-0006-6002-169X ↗
  19. 19
    A Universal Framework for Offline Serendipity Evaluation in Recommender Systems via Large Language Models
    Yu Tokutake
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  20. 20
    A Use-Case Specific Dataset for Measuring Dimensions of Responsible Performance in LLM-generated Text
    Alicia Sagae
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  21. 21
    Achoio: A Skill-Aware Evaluation Management System for Text-To-Speech Research
    Haowei Lou
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  22. 22
    ACMCG: A Cost-effective Active Clustering with Minimal Constraint Graph
    Qiu-Yu Wang
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  23. 23
    Active Recommendation for Email Outreach Dynamics
    Cenek Zid
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  24. 24
    ActiViz: Understanding Sample Selection in Active Learning through Boundary Visualization
    Jie Chen
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  25. 25
    AdaHet-MKD: An Adaptive Heterogeneous Multi-teacher Knowledge Distillation for Medical Image Analysis
    Helin Wang
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  26. 26
    AdaPatch: Adaptive Patch-Level Modeling for Non-Stationary Time Series Forecasting
    Kun Liu
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  27. 27
    Adapting Large Language Models to Log Analysis with Interpretable Domain Knowledge
    Yuhe Ji
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  28. 28
    Adapting LLMs for Personalized Evaluation of Explanations for Recommendations: A Meta-Learning Approach based on MAML
    Yurou Zhao
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  29. 29
    Adaptive Bidirectional State Space Model for High-frequency Portfolio Management
    Wei Ding
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  30. 30
    Adaptive Context-Infused Performance Evaluator for Iterative Feature Space Optimization
    Yanping Wu
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  31. 31
    Adaptive Heterogeneous Graph Neural Networks: Bridging Heterophily and Heterogeneity
    Qin Chen
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  32. 32
    Adaptive Spike Neural Networks for Natural Language Inference Tasks with Dynamic Spike Predictor
    Seung-Kyu Hong
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  33. 33
    Adaptive Spline Networks in the Kolmogorov-Arnold Framework: Knot Analysis and Stability Enhancement
    Liangwei Nathan Zheng
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  34. 34
    Addressing Personalized Bias for Unbiased Learning to Rank
    Zechun Niu
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  35. 35
    Addressing the Distortion of Community Representations in Anomaly Detection on Attributed Networks
    Enbo He
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  36. 36
    ADMP-GNN: Adaptive Depth Message Passing GNN
    Yassine Abbahaddou
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  37. 37
    Advanced News Event Clustering via Topic Enhanced Modeling with Multi-Aspect Contrastive Learning
    Hang Yang
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  38. 38
    Advanced Privacy Protection in Federated Learning using Server-initiated Homomorphic Encryption
    Cameron Lee
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  39. 39
    Advances in Financial AI: Innovations, Risk, and Responsibility in the Era of LLMs
    Yongjae Lee
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  40. 40
    Advances in Medical Knowledge Systems: LLMs, RAG and Foundation Models
    Giulia Di Teodoro
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  41. 41
    Advancing Graph Isomorphism Tests with Metric Space Indicators: A Tool for Improving Graph Learning Tasks
    Shenghui Zhang
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  42. 42
    Advancing Temporal Sensitive Question Answering through Progressive Multi-Step Reflection
    Ziyang Chen
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  43. 43
    Adversarially Attacking Graph Properties and Sparsification in Graph Learning
    Chunjiang Zhu
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  44. 44
    AGENTiGraph: A Multi-Agent Knowledge Graph Framework for Interactive, Domain-Specific LLM Chatbots
    Xinjie Zhao
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  45. 45
    Aggregated Gradients-based Adaptive Learning Rate Design in Federated Learning
    Wenhao Yuan
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  46. 46
    AI on the Pulse: Real-Time Health Anomaly Detection with Wearable and Ambient Intelligence
    Davide Gabrielli
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  47. 47
    AI Planning for Data Exploration
    Sihem Amer-Yahia
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  48. 48
    AMBER: Adaptive Meta Balanced Paradigm for Heterogeneous Graph-Based Knowledge Tracing
    Lifan Sun
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  49. 49
    Amortized Baseline Selection via Rank-Revealing QR for Efficient Model Explanation
    Chanwoo Lee
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  50. 50
    An Efficient PIM-Based Graph Engine on a Single Machine
    Myung-Hwan Jang
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