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  1. Which Neurons Matter in IR? Applying Integrated Gradients-based Methods to Understand Cross-Encoders

    Article • August 2024, ACM (Association for Computing Machinery)

    Benjamin Piwowarski

  2. Towards Effective and Efficient Sparse Neural Information Retrieval

    Article • ACM Transactions on Information Systems, April 2024, ACM (Association for Computing Machinery)

    Benjamin Piwowarski

  3. Simple Domain Adaptation for Sparse Retrievers

    Article • January 2024, Springer Science + Business Media

    Benjamin Piwowarski

  4. Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities

    Article • August 2023, ACM (Association for Computing Machinery)

    Benjamin Piwowarski, Guglielmo Faggioli

  5. XpmIR: A Modular Library for Learning to Rank and Neural IR Experiments

    Article • July 2023, ACM (Association for Computing Machinery)

    Benjamin Piwowarski

  6. CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval

    Article • January 2023, Springer Science + Business Media

    Benjamin Piwowarski

  7. From Distillation to Hard Negative Sampling

    Article • July 2022, ACM (Association for Computing Machinery)

    Benjamin Piwowarski

  8. Which Discriminator for Cooperative Text Generation?

    Article • July 2022, ACM (Association for Computing Machinery)

    Benjamin Piwowarski

  9. On the Study of Transformers for Query Suggestion

    Article • ACM Transactions on Information Systems, January 2022, ACM (Association for Computing Machinery)

    Benjamin Piwowarski

  10. SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking

    Article • July 2021, ACM (Association for Computing Machinery)

    Benjamin Piwowarski

  11. Experimaestro and Datamaestro

    Article • July 2020, ACM (Association for Computing Machinery)

    Benjamin Piwowarski

  12. Incorporating Visual Semantics into Sentence Representations within a Grounded Space

    Article • January 2019, Association for Computational Linguistics (ACL)

    Benjamin Piwowarski

  13. Answers Unite! Unsupervised Metrics for Reinforced Summarization Models

    Article • January 2019, Association for Computational Linguistics (ACL)

    Benjamin Piwowarski

  14. Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses

    Article • January 2019, Association for Computational Linguistics (ACL)

    Benjamin Piwowarski

  15. Self-Attention Architectures for Answer-Agnostic Neural Question Generation

    Article • January 2019, Association for Computational Linguistics (ACL)

    Benjamin Piwowarski

  16. Representation Learning for Classification in Heterogeneous Graphs with Application to Social Networks

    Article • ACM Transactions on Knowledge Discovery from Data, October 2018, ACM (Association for Computing Machinery)

    Benjamin Piwowarski

  17. Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification

    Article • Applied Soft Computing, April 2018, Elsevier

    Benjamin Piwowarski

  18. Advances in Information Retrieval

    Article • January 2018, Springer Science + Business Media

    Benjamin Piwowarski

  19. Gaussian Embeddings for Collaborative Filtering

    Article • August 2017, ACM (Association for Computing Machinery)

    Benjamin Piwowarski

  20. Leveraging Rating Behavior to Predict Negative Social Ties

    Article • August 2015, ACM (Association for Computing Machinery)

    Benjamin Piwowarski

  21. Model Based Comparison of Discounted Cumulative Gain and Average Precision

    Article • Journal of Discrete Algorithms, January 2013, Elsevier

    Benjamin Piwowarski

  22. On using a quantum physics formalism for multidocument summarization

    Article • Journal of the American Society for Information Science and Technology, February 2012, Wiley

    Benjamin Piwowarski

  23. Precision recall with user modeling (PRUM)

    Article • ACM Transactions on Information Systems, February 2007, ACM (Association for Computing Machinery)

    Benjamin Piwowarski

  24. A Bayesian Framework for XML Information Retrieval: Searching and Learning with the INEX Collection

    Article • Information Retrieval, December 2005, Springer Science + Business Media

    Benjamin Piwowarski

  25. An Algebra for Structured Queries in Bayesian Networks

    Article • January 2005, Springer Science + Business Media

    Benjamin Piwowarski

  26. A Machine Learning Model for Information Retrieval with Structured Documents

    Article • Springer Science + Business Media

    Benjamin Piwowarski