All Stories

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