All Stories

  1. Towards Lossless Token Pruning in Late-Interaction Retrieval Models
  2. Rational Retrieval Acts: Leveraging Pragmatic Reasoning to Improve Sparse Retrieval
  3. Which Neurons Matter in IR? Applying Integrated Gradients-based Methods to Understand Cross-Encoders
  4. Towards Effective and Efficient Sparse Neural Information Retrieval
  5. Simple Domain Adaptation for Sparse Retrievers
  6. Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities
  7. XpmIR: A Modular Library for Learning to Rank and Neural IR Experiments
  8. CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval
  9. From Distillation to Hard Negative Sampling
  10. Which Discriminator for Cooperative Text Generation?
  11. On the Study of Transformers for Query Suggestion
  12. SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking
  13. Experimaestro and Datamaestro
  14. Incorporating Visual Semantics into Sentence Representations within a Grounded Space
  15. Answers Unite! Unsupervised Metrics for Reinforced Summarization Models
  16. Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses
  17. Self-Attention Architectures for Answer-Agnostic Neural Question Generation
  18. Representation Learning for Classification in Heterogeneous Graphs with Application to Social Networks
  19. Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification
  20. Advances in Information Retrieval
  21. Gaussian Embeddings for Collaborative Filtering
  22. Leveraging Rating Behavior to Predict Negative Social Ties
  23. Model Based Comparison of Discounted Cumulative Gain and Average Precision
  24. On using a quantum physics formalism for multidocument summarization
  25. Precision recall with user modeling (PRUM)
  26. A Bayesian Framework for XML Information Retrieval: Searching and Learning with the INEX Collection
  27. An Algebra for Structured Queries in Bayesian Networks
  28. A Machine Learning Model for Information Retrieval with Structured Documents