All Stories

  1. ShieldVLM: Safeguarding the Multimodal Implicit Toxicity via Deliberative Reasoning with LVLMs: ShieldVLM
  2. JPS: Jailbreak Multimodal Large Language Models with Collaborative Visual Perturbation and Textual Steering
  3. Knowledge-to-Jailbreak: Investigating Knowledge-driven Jailbreaking Attacks for Large Language Models
  4. Parametric Retrieval Augmented Generation
  5. Decoupling Knowledge and Context: An Efficient and Effective Retrieval Augmented Generation Framework via Cross Attention
  6. User Welfare Optimization in Recommender Systems with Competing Content Creators
  7. Third Workshop on Personalization and Recommendations in Search (PaRiS)
  8. The Second Workshop on Large Language Models for Individuals, Groups, and Society
  9. Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems
  10. Retention Depolarization in Recommender System
  11. WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society
  12. An End-to-End Solution for Spatial Inference in Smart Buildings
  13. Incentivizing Exploration in Linear Contextual Bandits under Information Gap
  14. Not Just Skipping: Understanding the Effect of Sponsored Content on Users' Decision-Making in Online Health Search
  15. Personalization and Recommendations in Search
  16. Meta Policy Learning for Cold-Start Conversational Recommendation
  17. Disentangled Representation for Diversified Recommendations
  18. Dynamic Global Sensitivity for Differentially Private Contextual Bandits
  19. Graph Structural Attack by Perturbing Spectral Distance
  20. Scalable Exploration for Neural Online Learning to Rank with Perturbed Feedback
  21. Emotion Recognition Robust to Indoor Environmental Distortions and Non-targeted Emotions Using Out-of-distribution Detection
  22. Learning Neural Ranking Models Online from Implicit User Feedback
  23. Comparative Explanations of Recommendations
  24. Graph-based Extractive Explainer for Recommendations
  25. Unbiased Graph Embedding with Biased Graph Observations
  26. Graph Embedding with Hierarchical Attentive Membership
  27. Towards semantic search in building sensor data
  28. Improve Learning from Crowds via Generative Augmentation
  29. Category-aware Collaborative Sequential Recommendation
  30. When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution
  31. Interactive Information Retrieval with Bandit Feedback
  32. Understanding and Mitigating Bias in Online Health Search
  33. PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer
  34. Explanation as a Defense of Recommendation
  35. Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction
  36. A monitoring, modeling, and interactive recommendation system for in-home caregivers
  37. Global and Local Differential Privacy for Collaborative Bandits
  38. Directional Multivariate Ranking
  39. Graph Attention Networks over Edge Content-Based Channels
  40. Learning by Exploration
  41. Accounting for Temporal Dynamics in Document Streams
  42. Active Collaborative Sensing for Energy Breakdown
  43. Factorization Bandits for Online Influence Maximization
  44. The FacT
  45. Context Attentive Document Ranking and Query Suggestion
  46. Variance Reduction in Gradient Exploration for Online Learning to Rank
  47. Dynamic Ensemble of Contextual Bandits to Satisfy Users' Changing Interests
  48. A Tree-Structured Neural Network Model for Household Energy Breakdown
  49. Learning Personalized Topical Compositions with Item Response Theory
  50. Modeling Sequential Online Interactive Behaviors with Temporal Point Process
  51. A Scalable Solution for Rule-Based Part-of-Speech Tagging on Novel Hardware Accelerators
  52. Efficient Exploration of Gradient Space for Online Learning to Rank
  53. Hide-n-Seek
  54. Intent-aware Query Obfuscation for Privacy Protection in Personalized Web Search
  55. Learning Contextual Bandits in a Non-stationary Environment
  56. Returning is Believing
  57. Modeling Student Learning Styles in MOOCs
  58. Search, Mining, and Their Applications on Mobile Devices
  59. Accounting for the Correspondence in Commented Data
  60. Clustered Model Adaption for Personalized Sentiment Analysis
  61. Learning Hidden Features for Contextual Bandits
  62. Contextual Bandits in a Collaborative Environment
  63. Topic Model based Privacy Protection in Personalized Web Search
  64. The Building Adapter
  65. Clustering-based Active Learning on Sensor Type Classification in Buildings