All Stories

  1. Pathways of Thoughts: Multi-Directional Thinking for Long-form Personalized Question Answering
  2. ProActLLM: Proactive Conversational Information Seeking with Large Language Models
  3. Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization
  4. Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models
  5. Reliable Annotations with Less Effort: Evaluating LLM-Human Collaboration in Search Clarifications
  6. Distillation and Refinement of Reasoning in Small Language Models for Document Re-ranking
  7. Bridging Personalization and Control in Scientific Personalized Search
  8. The Second Tutorial on Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
  9. Scaling Sparse and Dense Retrieval in Decoder-Only LLMs
  10. Hypencoder: Hypernetworks for Information Retrieval
  11. Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 2
  12. Accelerating Retrieval-Augmented Generation
  13. Pre-trained Models for Search and Recommendation: Introduction to the Special Issue - Part 1
  14. Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
  15. Online and Offline Evaluation in Search Clarification
  16. Special Issue on Conversational Information Seeking
  17. First Workshop on Generative AI for Recommender Systems and Personalization
  18. Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization
  19. Third Workshop on Personalization and Recommendations in Search (PaRiS)
  20. Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models
  21. The Second Workshop on Large Language Models for Individuals, Groups, and Society
  22. ProCIS: A Benchmark for Proactive Retrieval in Conversations
  23. Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous Decoding
  24. Evaluating Retrieval Quality in Retrieval-Augmented Generation
  25. Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation
  26. Scalable and Effective Generative Information Retrieval
  27. WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society
  28. The 3rd International Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom 2024)
  29. Generalized Weak Supervision for Neural Information Retrieval
  30. Large Language Model Augmented Narrative Driven Recommendations
  31. Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question Answering
  32. A Personalized Dense Retrieval Framework for Unified Information Access
  33. Editable User Profiles for Controllable Text Recommendations
  34. FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation
  35. Soft Prompt Decoding for Multilingual Dense Retrieval
  36. Multivariate Representation Learning for Information Retrieval
  37. A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering
  38. SIGIR 2023 Workshop on Retrieval Enhanced Machine Learning (REML @ SIGIR 2023)
  39. The 2nd Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom)
  40. Tutorials at The Web Conference 2023
  41. Revisiting Open Domain Query Facet Extraction and Generation
  42. Stochastic Retrieval-Conditioned Reranking
  43. Conversational Information Seeking
  44. Curriculum Learning for Dense Retrieval Distillation
  45. MIMICS-Duo
  46. Retrieval-Enhanced Machine Learning
  47. Conversational Search and Recommendation: Introduction to the Special Issue
  48. Learning Multiple Intent Representations for Search Queries
  49. Context-aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants
  50. Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence
  51. Passage Retrieval for Outside-Knowledge Visual Question Answering
  52. Current Challenges and Future Directions in Podcast Information Access
  53. Learning Robust Dense Retrieval Models from Incomplete Relevance Labels
  54. Generalizing Discriminative Retrieval Models using Generative Tasks
  55. Tip of the Tongue Known-Item Retrieval
  56. Generating Clarifying Questions for Information Retrieval
  57. Neural models for information retrieval without labeled data
  58. An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation
  59. Performance Prediction for Non-Factoid Question Answering
  60. Analyzing and Predicting News Popularity in an Instant Messaging Service
  61. Asking Clarifying Questions in Open-Domain Information-Seeking Conversations
  62. From Neural Re-Ranking to Neural Ranking
  63. In Situ and Context-Aware Target Apps Selection for Unified Mobile Search
  64. Neural Query Performance Prediction using Weak Supervision from Multiple Signals
  65. Universal Approximation Functions for Fast Learning to Rank
  66. SIGIR 2018 Workshop on Learning from Limited or Noisy Data for Information Retrieval
  67. ACM SIGIR Student Liaison Program
  68. Neural Ranking Models with Multiple Document Fields
  69. Improving Retrieval Performance for Verbose Queries via Axiomatic Analysis of Term Discrimination Heuristic
  70. Relevance-based Word Embedding
  71. Word Embedding Causes Topic Shifting; Exploit Global Context!
  72. Situational Context for Ranking in Personal Search
  73. Pseudo-Relevance Feedback Based on Matrix Factorization
  74. Axiomatic Analysis for Improving the Log-Logistic Feedback Model