All Stories

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