All Stories

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