All Stories

  1. VeriCite: Towards Reliable Citations in Retrieval-Augmented Generation via Rigorous Verification
  2. Robust Neural Information Retrieval: An Adversarial and Out-of-Distribution Perspective
  3. CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks
  4. Generative Retrieval for Book Search
  5. On the Scaling of Robustness and Effectiveness in Dense Retrieval
  6. Boosting Retrieval-Augmented Generation with Generation-Augmented Retrieval: A Co-Training Approach
  7. Robust-IR @ SIGIR 2025: The First Workshop on Robust Information Retrieval
  8. An Empirical Study of Evaluating Long-form Question Answering
  9. Robust Information Retrieval
  10. CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval
  11. GaQR: An Efficient Generation-augmented Question Rewriter
  12. Text Matching Indexers in Taobao Search
  13. Recent Advances in Generative Information Retrieval
  14. Robust Information Retrieval
  15. Gen-IR @ SIGIR 2024: The Second Workshop on Generative Information Retrieval
  16. Multi-granular Adversarial Attacks against Black-box Neural Ranking Models
  17. Are Large Language Models Good at Utility Judgments?
  18. Recent Advances in Generative Information Retrieval
  19. This is the first listwise optimization work for generative retrieval.
  20. Report on the 1st Workshop on Generative Information Retrieval (Gen-IR 2023) at SIGIR 2023
  21. Recent Advances in Generative Information Retrieval
  22. Continual Learning for Generative Retrieval over Dynamic Corpora
  23. Inducing Causal Structure for Abstractive Text Summarization
  24. Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method
  25. Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models
  26. A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning
  27. Gen-IR@SIGIR 2023: The First Workshop on Generative Information Retrieval
  28. PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models
  29. Are Neural Ranking Models Robust?
  30. Semantic Models for the First-Stage Retrieval: A Comprehensive Review
  31. A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense Retrieval
  32. GERE: Generative Evidence Retrieval for Fact Verification
  33. Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction
  34. FedMatch
  35. A Review on Question Generation from Natural Language Text
  36. B-PROP
  37. A Discriminative Semantic Ranker for Question Retrieval
  38. A Linguistic Study on Relevance Modeling in Information Retrieval
  39. PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval
  40. Beyond Relevance: Trustworthy Answer Selection via Consensus Verification
  41. Query Understanding via Intent Description Generation
  42. Continual Domain Adaptation for Machine Reading Comprehension
  43. Dual-factor Generation Model for Conversation
  44. Match²
  45. Outline Generation