PPaperPicks

Maarten de Rijke

University of Amsterdam (UvA), Amsterdam, The Netherlands

106 papers at tracked venues · 73 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. A Parametric Memory Head for Continual Generative Retrieval
  2. AdversarialCoT: Single-Document Retrieval Poisoning for LLM Reasoning
  3. CLAX: Fast and Flexible Neural Click Models in JAX
  4. ERASE - A Real-World Aligned Benchmark for Unlearning in Recommender Systems
  5. Economic Perspectives on Fairness in Information Retrieval
  6. Following the Eye-Tracking Evidence: Established Web-Search Assumptions Fail in Carousel Interfaces
  7. Joint Modeling of Candidate and Recruiter Preferences for Fair Two-Sided Job Matching
  8. Judiciously Reducing Sub-group Comparisons for Learning Intersectional Fair Representations
  9. LiRA: A Multi-Agent Framework for Reliable and Readable Literature Review Generation
  10. LongRanker: Efficient One-Pass Document Reranking with Long-Context Large Language Models
  11. Lost in Decoding? Reproducing and Stress-Testing the Look-Ahead Prior in Generative Retrieval
  12. MANILA26: SIGIR 2026 Tutorial on Information Retrieval for Climate Change Impact
    SIGIR 2026 · Maarten de Rijke
  13. Model Editing for New Document Integration in Generative Information Retrieval
  14. Multi-Step Semantic Reasoning in Generative Retrieval
  15. OrLog: Resolving Complex Queries with LLMs and Probabilistic Reasoning
  16. Orcheo: A Modular Full-Stack Platform for Conversational Search
  17. Query Decomposition for RAG: Balancing Exploration-Exploitation
  18. Reasoning for IR & IR for Reasoning
  19. Reward Shaping for Robust Refusal in Small Language Models for Retrieval-Augmented Question Answering
    SIGIR 2026 ·
    Thilina Chaturanga Rajapakse
  20. The Attention Market: Interpreting Online Fair Re-ranking as Manifold Optimization under Walrasian Equilibrium
  21. Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning
  22. Towards a Responsible Web: Economic Perspectives on Fairness in Information Retrieval
  23. Tutorial on Reasoning for IR & IR for Reasoning
  24. Unveiling and Simulating Short-Video Addiction Behaviors via Economic Addiction Theory
  25. VulGen: Workshop on Vulnerabilities in Generative Systems for Information Retrieval
  26. Workshop on Conversational Search for Complex Information Needs
  27. A Comprehensive Taxonomy of Negation for NLP and Neural Retrievers
  28. A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition
  29. A Reproducibility Study of Product-side Fairness in Bundle Recommendation
  30. Adaptive Orchestration of Modular Generative Information Access Systems
  31. An Empirical Study of Evaluating Long-form Question Answering
  32. Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models
  33. Benchmark Granularity and Model Robustness for Image-Text Retrieval: A Reproducibility Study
  34. Boosting Retrieval-Augmented Generation with Generation-Augmented Retrieval: A Co-Training Approach
  35. Constrained Auto-Regressive Decoding Constrains Generative Retrieval
  36. Controlled Retrieval-augmented Context Evaluation for Long-form RAG
  37. DIVAgent: A Diversified Search Agent that Mimics the Human Search Process
  38. Distributional Reinforcement Learning with Dual Expectile-Quantile Regression
  39. Evaluation of Attribution Bias in Generator-Aware Retrieval-Augmented Large Language Models
  40. ExcluIR: Exclusionary Neural Information Retrieval
  41. FULTR: A Large-Scale Fusion Learning to Rank Dataset and Its Application for Satisfaction-Oriented Ranking
  42. FairDiverse: A Comprehensive Toolkit for Fairness- and Diversity-aware Information Retrieval
  43. Fairness in Information Retrieval from an Economic Perspective
  44. Generative Retrieval for Book Search
  45. Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure
  46. Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers
  47. LANCE: Exploration and Reflection for LLM-based Textual Attacks on News Recommender Systems
  48. Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval
  49. MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization
  50. MANILA25: SIGIR 2025 Workshop on Information Retrieval for Climate Impact
  51. Malevolence Attacks Against Pretrained Dialogue Models
  52. On the Robustness of Generative Information Retrieval Models: An Out-of-Distribution Perspective
  53. On the Scaling of Robustness and Effectiveness in Dense Retrieval
  54. Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval
  55. PEIR: Modeling Performance in Neural Information Retrieval
  56. RankingSHAP - Faithful Listwise Feature Attribution Explanations for Ranking Models
  57. RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces
    SIGIR 2025 ·
    Santiago de Leon-Martinez
  58. Repeat-Bias-Aware Optimization of Beyond-Accuracy Metrics for Next Basket Recommendation
  59. Replication and Exploration of Generative Retrieval over Dynamic Corpora
  60. Revisiting Language Models in Neural News Recommender Systems
  61. Robust Information Retrieval
  62. Scalable Data Debugging for Neighborhood-based Recommendation with Data Shapley Values
  63. The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems
  64. Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics
  65. What if Othello-Playing Language Models Could See?
  66. Advances in Human Event Modeling: From Graph Neural Networks to Language Models
  67. AnnoRank: A Comprehensive Web-Based Framework for Collecting Annotations and Assessing Rankings
  68. Are Large Language Models Good at Utility Judgments?
  69. Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation?
  70. Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search
  71. Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval
  72. CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems
  73. Context Does Matter: Implications for Crowdsourced Evaluation Labels in Task-Oriented Dialogue Systems
  74. Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees
  75. Etude - Evaluating the Inference Latency of Session-Based Recommendation Models at Scale
  76. GaQR: An Efficient Generation-augmented Question Rewriter
  77. Generative Retrieval Meets Multi-Graded Relevance
  78. Generative Retrieval as Multi-Vector Dense Retrieval
  79. Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems
  80. KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
  81. Large Language Models for Next Point-of-Interest Recommendation
  82. Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning
  83. MANILA24: SIGIR 2024 Workshop on Information Retrieval and Climate Impact
  84. MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning
  85. Multi-granular Adversarial Attacks against Black-box Neural Ranking Models
  86. Negative Sampling Techniques for Dense Passage Retrieval in a Multilingual Setting
    SIGIR 2024 ·
    Thilina Chaturanga Rajapakse
  87. Optimal Baseline Corrections for Off-Policy Contextual Bandits
  88. Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off
  89. Practical and Robust Safety Guarantees for Advanced Counterfactual Learning to Rank
  90. Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method
  91. QFMTS: Generating Query-Focused Summaries over Multi-Table Inputs
  92. Query Augmentation with Brain Signals
  93. Ranked List Truncation for Large Language Model-based Re-Ranking
  94. Real World Conversational Entity Linking Requires More Than Zero-Shots
  95. Recent Advances in Generative Information Retrieval
  96. Recent Advances in Generative Information Retrieval
  97. Rethinking the Evaluation of Dialogue Systems: Effects of User Feedback on Crowdworkers and LLMs
  98. Robust Information Retrieval
  99. SIGIR 2024 Workshop on eCommerce (ECOM24)
  100. Snapcase - Regain Control over Your Predictions with Low-Latency Machine Unlearning
  101. Table Question Answering for Low-resourced Indic Languages
  102. Text Matching Indexers in Taobao Search
  103. The Impact of Group Membership Bias on the Quality and Fairness of Exposure in Ranking
  104. The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models
  105. Towards Empathetic Conversational Recommender Systems
  106. Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset