All Stories

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