Publications

137 publications — alternate versions (preprint, translation) are listed under each.

2026

  1. ToMMeR - Efficient Entity Mention Detection from Large Language Models
    Victor Morand, Nadi Tomeh, Josiane Mothe, Benjamin Piwowarski
    ACL2026linkdoi

    This work provides evidence that structured entity representations exist in early transformer layers and can be efficiently recovered with minimal parameters, and reveals that diverse architectures converge on similar mention boundaries, confirming that mention detection emerges naturally from language modeling

    Other version
    • arXiv “ToMMeR -- Efficient Entity Mention Detection from Large Language Models”linkdoi
  2. The GDN-CC Dataset: Automatic Corpus Clarification for AI-enhanced Democratic Citizen Consultations
    Pierre-Antoine Lequeu, Léo Labat, Laurène Cave, Gaël Lejeune, François Yvon, Benjamin Piwowarski
    ACL 20262026linkdoi
  3. STORM: Stepwise Token Optimization with Reward-Guided Beam Search
    Arthur Satouf, Giulio D'Erasmo, Yuxuan Zong, Habiboulaye Amadou Boubacar, Pablo Piantanida, Benjamin Piwowarski
    Pre-printarXiv2026linkdoi
  4. Reproducing and Comparing Distillation Techniques for Cross-Encoders
    Victor Morand, Mathias Vast, Basile Van Cooten, Laure Soulier, Josiane Mothe, Benjamin Piwowarski
    Pre-printarXiv2026linkdoi
  5. QueStER: Query Specification for Generative Keyword-Based Retrieval
    Arthur Satouf, Yuxuan Zong, Habiboulaye Amadou Boubacar, Pablo Piantanida, Benjamin Piwowarski
    EACL Findings2026linkdoi
  6. MICE: Minimal Interaction Cross-Encoders for efficient Re-ranking
    Mathias Vast, Victor Morand, Basile van Cooten, Laure Soulier, Josiane Mothe, Benjamin Piwowarski
    Pre-printarXiv2026linkdoi
  7. IR Lens: A Tool for Interpreting Cross-Encoder Models
    Mihai Branga-Peicu, Mathias Vast, Basile Van Cooten, Laure Soulier, Jules Françoise, Benjamin Piwowarski, Baptiste Caramiaux
    SIGIR2026linkdoi
  8. Give it Space! Explicit Disentangling of Positional and Semantic Representations in Encoders
    Pierre-Antoine Lequeu, Camille Barboule, Benjamin Piwowarski
    Pre-printarXiv2026linkdoi
  9. From Tokens to Concepts: Leveraging SAE for SPLADE
    Yuxuan Zong, Mathias Vast, Basile Van Cooten, Laure Soulier, Benjamin Piwowarski
    SIGIR2026linkdoi

    SPLADE models can ditch their token-based vocabularies for a latent semantic space learned by Sparse Auto-Encoders, maintaining retrieval performance while boosting efficiency.

  10. Encodeurs croisés légers pour ré-ordonner les résultats de recherche d'information
    Mathias Vast, Victor Morand, Basile van Cooten, Laure Soulier, Josiane Mothe, Benjamin Piwowarski
    21e Conférence en Recherche d’Information et Applications2026link
  11. Are We Evaluating Knowledge or Phrasing? Mitigating MCQA Sensitivity with ParaEval
    João Maria Janeiro, Mathurin Videau, Andrea Caciolai, Benjamin Piwowarski, Patrick Gallinari, Loic Barrault
    Pre-printarXiv2026linkdoi
  12. A Voronoi Cell Formulation for Principled Token Pruning in Late-Interaction Retrieval Models
    Yash Kankanampati, Yuxuan Zong, Nadi Tomeh, Benjamin Piwowarski, Joseph Le Roux
    SIGIR2026linkdoi

2025

  1. Understanding Matching Mechanisms in Cross-Encoders
    Mathias Vast, Basile van Cooten, Laure Soulier, Benjamin Piwowarski
    Workshop on Explainability in Information Retrieval2025link
    Other version
    • French “Comprendre la Nature des Signaux de Correspondance dans les Modèles Neuronaux pour la RI”Conférence en Recherche d’Information et Applications (2025)link
  2. Towards Lossless Token Pruning in Late-Interaction Retrieval Models
    Yuxuan Zong, Benjamin Piwowarski
    SIGIR2025linkdoi
    Other version
    • French “Vers un élagage de tokens sans coût dans les modèles de récupération à interaction tardive”JEP/TALN/RECITAL 2025 (2025)link
  3. Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends
    Camille Barboule, Benjamin Piwowarski, Yoan Chabot
    Pre-printarXiv2025linkdoi
  4. Structural Deep Encoding for Table Question Answering
    Raphaël Mouravieff, Benjamin Piwowarski, Sylvain Lamprier
    Findings 20252025linkdoi
  5. Rational Retrieval Acts: Leveraging Pragmatic Reasoning to Improve Sparse Retrieval
    Arthur Satouf, Gabriel Ben-Zenou, Benjamin Piwowarski, Habiboulaye Amadou-Boubacar, Pablo Piantanida
    ACM SIGIR2025linkdoi
  6. On the Representations of Entities in Auto-regressive Large Language Models
    Victor Morand, Josiane Mothe, Benjamin Piwowarski
    Proceedings of the 8th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP2025linkdoi
  7. Mixture of Languages: Improved Multilingual Encoders Through Language Grouping
    João Maria Janeiro, Belen Alastruey, Francisco Massa, Maha Elbayad, Benjamin Piwowarski, Patrick Gallinari, Loic Barrault
    EMNLP 20252025linkdoi
  8. MEXMA: Token-level objectives improve sentence representations
    João Maria Janeiro, Benjamin Piwowarski, Patrick Gallinari, Loic Barrault
    ACL2025linkdoi
    Other version
  9. Context Copying Modulation: The Role of Entropy Neurons in Managing Parametric and Contextual Knowledge Conflicts
    Zineddine Tighidet, Andrea Mogini, Hedi Ben younes, Jiali Mei, Patrick Gallinari, Benjamin Piwowarski
    Findings 20252025linkdoi
  10. Comment mesurer les biais politiques des grands modèles de langue multilingues?
    Paul Lerner, Laurène Cave, Hal Daumé, Léo Labat, Gaël Lejeune, Pierre-Antoine Lequeu, Benjamin Piwowarski, Nazanin Shafiabadi, François Yvon
    JEP/TALN/RECITAL 20252025link

2024

  1. Which Neurons Matter in IR? Applying Integrated Gradients-based Methods to Understand Cross-Encoders
    Mathias Vast, Basile Van Cooten, Laure Soulier, Benjamin Piwowarski
    ICTIR2024linkdoi
  2. What Makes Multimodal In-Context Learning Work?
    Folco Bertini Baldassini, Mustafa Shukor, Matthieu Cord, Laure Soulier, Benjamin Piwowarski
    2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)2024linkdoi
  3. Towards Effective and Efficient Sparse Neural Information Retrieval
    Thibault Formal, Carlos Lassance, Benjamin Piwowarski, Stéphane Clinchant
    ACM Transactions on Information Systems2024linkdoi

    A global view on the sparse neural IR model SPLADE, summarizing and extending our papers so far

  4. Structured representation for Information Retrieval
    Yuxuan Zong, Benjamin Piwowarski
    Conférence francophone en Recherche d’Information et Application2024linkdoi
  5. Simple Domain Adaptation for Sparse Retrievers
    Mathias Vast, Yuxuan Zong, Benjamin Piwowarski, Laure Soulier
    ECIR2024doi
    Other versions
    • French “Adaptation de Domaine Simple pour la Recherche Parcimonieuse”Conférence francophone en Recherche d’Information et Application (2024)linkdoi
    • arXiv “Simple Domain Adaptation for Sparse Retrievers”linkdoi
  6. Probing Language Models on Their Knowledge Source
    Zineddine Tighidet, Jiali Mei, Benjamin Piwowarski, Patrick Gallinari
    Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP2024linkdoi
    Other version
    • French “Sondage des Modèles de Langue sur leur Source de Connaissance”JEP/TALN/RECITAL 2025 (2025)link
  7. Learning Relational Decomposition of Queries for Question Answering from Tables
    Raphaël Mouravieff, Benjamin Piwowarski, Sylvain Lamprier
    ACL 20242024link
    Other version
    • arXiv “Training Table Question Answering via SQL Query Decomposition”linkdoi
  8. Learning Reading Order via Document Layout with Layout2Pos
    Laura Nguyen, Benjamin Piwowarski, Julio Laborde, Gilles Moyse
    Linking Theory and Practice of Digital Libraries2024doi

2023

  1. XPM-IR: A Modular Library for Learning to Rank and Neural IR Experiments
    Yuxuan Zong, Benjamin Piwowarski
    SIGIR2023doi

    This paper describes an Information Retrieval framework library I have been developing since 2019. It is now a mature library, and is used by my two PhD students to run and design experiments on new IR models.

    Other version
    • French “XPMIR: Une bibliothèque modulaire pour l'apprentissage d'ordonnancement et les expériences de RI neuronale”CORIA-TALN (2023)link
  2. Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities
    Guglielmo Faggioli, Thibault Formal, Simon Lupart, Stefano Marchesin, Stephane Clinchant, Nicola Ferro, Benjamin Piwowarski
    ICTIR2023linkdoi
  3. Query Performance Prediction for Neural IR: Are We There Yet?
    Guglielmo Faggioli, Thibault Formal, Stefano Marchesin, Stéphane Clinchant, Nicola Ferro, Benjamin Piwowarski
    ECIR2023doi
  4. On the Limitations of Query Performance Prediction for Neural IR
    Guglielmo Faggioli, Thibault Formal, Stefano Marchesin, Stéphane Clinchant, Nicola Ferro, Benjamin Piwowarski
    Proceedings of the 31st Symposium of Advanced Database Systems, Galzingano Terme, Italy, July 2nd to 5th, 20232023link
  5. LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization
    Laura Nguyen, Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano
    EACL 20232023link
    Other version
  6. Les systèmes d’intelligence artificielle pour la génération d’images
    Ludovic Denoyer, Benjamin Piwowarski
    PopularizationScience et Pseudosciences2023
  7. CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval
    Nam Le Hai, Thomas Gerald, Thibault Formal, Jian-Yun Nie, Benjamin Piwowarski, Laure Soulier
    ECIR2023doi
    Other versions
    • French “CoSPLADE : Adaptation d'un Modèle Neuronal Basé sur des Représentations Parcimonieuses pour la Recherche d'Information Conversationnelle”CORIA-TALN (2023)link
    • arXiv “CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval”linkdoi

2022

  1. Which Discriminator for Cooperative Text Generation?
    Antoine Chaffin, Thomas Scialom, Sylvain Lamprier, Jacopo Staiano, Benjamin Piwowarski, Ewa Kijak, Vincent Claveau
    SIGIR2022linkdoi
    Other version
    • French “Choisir le bon co-équipier pour la génération coopérative de texte”TALN 2022 - 29e conférence sur le Traitement Automatique des Langues Naturelles (2022)link
  2. On the Study of Transformers for Query Suggestion
    Agnès Mustar, Sylvain Lamprier, Benjamin Piwowarski
    ACM Transactions on Information Systems2022linkdoi
  3. Match your words! A study of lexical matching in neural information retrieval
    Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant
    ECIR2022
    Other version
    • Conference paper “A Study of Lexical Matching in Neural Information Retrieval”CIRCLE (2022)link
  4. MLIA-DAC@TREC CAsT 2022: Sparse Contextualized Query Embedding
    Le Hai Nam, Thomas Gerald, Thibault Formal, Jian-Yun Nie, Benjamin Piwowarski, Laure Soulier
    TREC2022
  5. IRnator: A Framework for Discovering Users Needs from Sets of Suggestions
    Agnès Mustar, Sylvain Lamprier, Benjamin Piwowarski
    ICTIR2022
  6. Generative Cooperative Networks for Natural Language Generation
    Sylvain Lamprier, Thomas Scialom, Antoine Chaffin, Vincent Claveau, Ewa Kijak, Jacopo Staiano, Benjamin Piwowarski
    International Conference on Machine Learning2022link
    Other versions
    • Conference paper “To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs”Advances in Neural Information Processing Systems (2021)link
    • arXiv “To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs”link
  7. Actes de la 3ème journée : Technologies du langage humain et accès interactif à l'information (avril 2022)
    Benjamin Piwowarski, Florian Boudin, Gaël Dias, Jean-Pierre Chevallet, Jose G. Moreno, Mathieu Roche, Thierry Charnois
    2022link

2021

  1. Skim-Attention: Learning to Focus via Document Layout
    Laura Nguyen, Thomas Scialom, Jacopo Staiano, Benjamin Piwowarski
    EMNLP Findings2021linkdoi
    Other version
  2. SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking
    Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant
    SIGIR2021linkdoi
    Other versions
    • Conference paper “From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective”Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022)linkdoi
    • arXiv link
    • arXiv “SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval”link
  3. QuestEval: Summarization Asks for Fact-based Evaluation
    Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano, Alex Wang, Patrick Gallinari
    EMNLP 20212021linkdoi
    Other versions
    • arXiv “SAFEval: Summarization Asks for Fact-based Evaluation”link
    • arXiv link
  4. Naver Labs Europe (SPLADE) @ TREC Deep Learning 2021
    Carlos Lassance, Arnaud Sors, Stéphane Clinchant, Thibault Formal, Benjamin Piwowarski
    TREC2021link
  5. Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation
    Clement Rebuffel, Thomas Scialom, Laure Soulier, Benjamin Piwowarski, Sylvain Lamprier, Jacopo Staiano, Geoffrey Scoutheeten, Patrick Gallinari
    EMNLP2021linkdoi
    Other version
    • arXiv “Data-QuestEval: A Referenceless Metric for Data to Text Semantic Evaluation”link
  6. A White Box Analysis of ColBERT
    Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant
    ECIR2021doi
    Other version
    • Conference paper “Une Analyse du Modèle ColBERT”Conférence francophone en Recherche d’Information et Application (2021)linkdoi

2020

  1. Using BERT and BART for Query Suggestion
    Agnès Mustar, Sylvain Lamprier, Benjamin Piwowarski
    Joint Conference of the Information Retrieval Communities in Europe2020
  2. Transductive Zero-Shot Learning using Cross-Modal CycleGAN
    Patrick Bordes, Eloi Zablocki, Benjamin Piwowarski, Patrick Gallinari
    Pre-printarXiv2020linkdoi
  3. MLSUM: The Multilingual Summarization Corpus
    Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano
    Pre-printarXiv2020link
  4. Learning Representation for Information Access
    Benjamin Piwowarski
    2020link
  5. Experimaestro and Datamaestro: Experiment and Dataset Managers (for IR)
    Benjamin Piwowarski
    SIGIR2020doi
  6. Discriminative Adversarial Search for Abstractive Summarization
    Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano
    International Conference on Machine Learning2020
    Other version
    • arXiv arXiv:2002.10375 [cs] (2020)link
  7. ColdGANs: Taming Language GANs with Cautious Sampling Strategies
    Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano
    NeurIPS2020link
    Other version

2019

  1. Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses
    Étienne Simon, Vincent Guigue, Benjamin Piwowarski
    Proceedings of the Association for Computational Linguistics2019doi
  2. Un modèle multimodal d’apprentissage de représentations de phrases qui préserve la sémantique visuelle
    Patrick Bordes, Éloi Zablocki, Laure Soulier, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari
    conférence francophone en Recherche d'Information et Application2019
  3. Self-Attention Architectures for Answer-Agnostic Neural Question Generation
    Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano
    ACL 20192019link
    Other version
    • French “Architecture basée sur les mécanismes d'attention: le cas de la génération de questions neuronales”linkdoi
  4. Incorporating Visual Semantics into Sentence Representations within a Grounded Space
    Éloi Zablocki, Patrick Bordes, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari
    EMNLP2019doi
  5. Context-Aware Zero-Shot Learning for Object Recognition
    Éloi Zablocki, Patrick Bordes, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari
    International Conference on Machine Learning2019link
  6. Answers Unite! Unsupervised Metrics for Reinforced Summarization Models
    Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano
    EMNLP2019doi

2018

  1. Representation Learning for Classification in Heterogeneous Graphs with Application to Social Networks
    Ludovic Dos Santos, Benjamin Piwowarski, Ludovic Denoyer, Patrick Gallinari
    ACM Transactions on Knowledge Discovery from Data2018linkdoi
  2. Learning Multi-Modal Word Representation Grounded in Visual Context
    Éloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari
    Association for the Advancement of Artificial Intelligence2018link
    Other version
    • French “Apprentissage multimodal de représentation de mots à l'aide de contexte visuel”Conference sur l'APprentissage Automatique (2018)
  3. Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification
    Alejandro Lopez-Rincon, Alberto Tonda, Mohamed Elati, Olivier Schwander, Benjamin Piwowarski, Patrick Gallinari
    Applied Soft Computing2018linkdoi

2017

  1. LIP6@CLEF2017: Multi-Modal Spatial Role Labeling using Word Embeddings Working notes
    Éloi Zablocki, Patrick Bordes, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari
    CLEF2017link
  2. Gaussian Embeddings for Collaborative Filtering
    Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari
    SIGIR2017linkdoi
    Other version
    • French “Représentations Gaussiennes pour le Filtrage Collaboratif”Conférence en Recherche d’Information et Applications (2018)

2016

  1. Représentation temporelle des mots : application au clustering de micro-blogs.
    Zeljko Kraljevic, Nicolas Baskiotis, Benjamin Piwowarski, Patrick Gallinari
    CORIA2016link
  2. Multilabel Classification on Heterogeneous Graphs with Gaussian Embeddings
    Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari
    European Conference on Machine Learning2016linkdoi
  3. Modeling Relational Time Series using Gaussian Embeddings
    Ali Ziat, Ludovic Denoyer, Benjamin Piwowarski, Patrick Gallinari, Ali Ziat
    NIPS Time Series Workshop2016
  4. Learning Term Weights for Ad-hoc Retrieval
    Benjamin Piwowarski
    Pre-printarXiv2016link
  5. Efficient Document Indexing Using Pivot Tree
    Gaurav Singh, Benjamin Piwowarski
    Pre-printarXivarXiv2016link
  6. Apprentissage de Modèles de Langue Neuronaux pour la Recherche d'Information
    Nicolas Despres, Sylvain Lamprier, Benjamin Piwowarski
    CORIA2016link
    Other version
    • arXiv “Parameterized Neural Network Language Models for Information Retrieval”arXiv (2015)link

2015

  1. Polarité des jugements et des interactions pour le filtrage collaboratif et la prédiction de liens sociaux.
    Luc-Aurélien Gauthier, Benjamin Piwowarski, Patrick Gallinari
    Conférence en Recherche d'Informations et Applications2015doi
  2. Leveraging rating behavior to predict negative social ties
    Luc Aurélien Gauthier, Benjamin Piwowarski, Patrick Gallinari
    International Conference on Advances in Social Networks Analysis and Mining2015doi
  3. Inférence de liens signés dans les réseaux sociaux, par apprentissage à partir d'interactions utilisateur
    Luc-Aurélien Gauthier, Benjamin Piwowarski, Patrick Gallinari
    CORIA2015link
  4. Graph Based Method Approach to the ImageCLEF2015 Task1 - Image Annotation
    Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari
    CLEF2015 Task1 - Image Annotation CEUR Workshop Proceedings2015link

2014

  1. Filtrage collaboratif et intégration de la polarité des notes
    Luc-Aurélien Gauthier, Benjamin Piwowarski, Patrick Gallinari
    CORIA2014

2013

  1. Model Based Comparison of Discounted Cumulative Gain and Average Precision
    Georges Dupret, Benjamin Piwowarski
    Journal of Discrete Algorithms2013linkdoi
  2. Diversification Based Static Index Pruning - Application to Temporal Collections
    Zeynep Pehlivan, Benjamin Piwowarski, Stéphane Gançarski
    Pre-printarXiv2013link
  3. A comparison of static index pruning methods with temporal queries
    Zeynep Pehlivan, Benjamin Piwowarski, Stéphane Gançarski
    SIGIR2013

2012

  1. The Kernel Quantum Probabilities (KQP) Library
    Benjamin Piwowarski
    Pre-printarXiv2012link
  2. On using a quantum physics formalism for multidocument summarization
    Benjamin Piwowarski, Massih-Reza Amini, Mounia Lalmas
    Journal of the American Society for Information Science and Technology2012linkdoi
  3. Beyond Cumulated Gain and Average Precision: Including Willingness and Expectation in the User Model
    Benjamin Piwowarski, Georges Dupret, Mounia Lalmas
    Pre-printarXiv2012link

2011

  1. Towards a science of user engagement (Position Paper)
    S Attfield, G Kazai, M Lalmas, Benjamin Piwowarski
    WSDM2011link
  2. Processing Queries in Session in a Quantum-inspired IR Framework
    Ingo Frommholz, Benjamin Piwowarski, Mounia Lalmas, Keith Rijsbergen
    ECIR2011
  3. On the use of Complex Numbers in Quantum Models for Information Retrieval.
    Guido Zuccon, Benjamin Piwowarski, Leif Azzopardi
    ECIR2011linkdoi
  4. Introducción a la recuperación de información
    Benjamin Piwowarski, Roi Blanco
    RA-MA2011
  5. Handling Data Sparsity in Collaborative Filtering using Emotion and Semantic Based Features
    Yashar Moshfeghi, Benjamin Piwowarski, Joemon Jose
    ACM SIGIR Conference on Research and Development in Information Retrieval2011link
  6. A Query Algebra for Quantum Information Retrieval
    Annalina Caputo, Benjamin Piwowarski, Mounia Lalmas
    Proceedings of the 2nd Italian Information Retrieval Workshop2011

2010

  1. What can Quantum Theory bring to IR?
    Benjamin Piwowarski, Ingo Frommholz, Mounia Lalmas, Keith Rijsbergen
    Conference on information and knowledge management2010doi
  2. Supporting Polyrepresentation in a Quantum-inspired Geometrical Retrieval Framework
    Ingo Frommholz, Birger Larsen, Benjamin Piwowarski, Mounia Lalmas, Peter Ingwersen, Keith Rijsbergen
    Proceedings of the third symposium on Information interaction in context2010linkdoi
  3. Filtering documents with subspaces
    Benjamin Piwowarski, Ingo Frommholz, Yashar Moshfeghi, Mounia Lalmas, Keith Rijsbergen
    ECIR2010link
  4. Exploring a Multidimensional Representation of Documents and Queries (extended version)
    Benjamin Piwowarski, Ingo Frommholz, Mounia Lalmas, Keith Rijsbergen
    Pre-printarXiv2010link
  5. Exploring a Multidimensional Representation of Documents and Queries
    Benjamin Piwowarski, Ingo Frommholz, Mounia Lalmas, Keith Rijsbergen
    Recherche d'Information Assistée par Ordinateur (RIAO)2010
    Other version
    • French “Méthodologie pour une représentation multi-dimensionnelle des documents”Conférence en Recherche d'Infomations et Applications (2013)link
  6. Dynamics of Genre and Domain Intents
    Shanu Sushmita, Benjamin Piwowarski, Mounia Lalmas
    Asia Information Retrieval Symposium2010link
  7. A User Behavior Model for Average Precision and its Generalization to Graded Judgments
    Georges Dupret, Benjamin Piwowarski
    ACM SIGIR Conference on Research and Development in Information Retrieval2010link

2009

  1. Structured Information Retrieval and Quantum Theory
    Benjamin Piwowarski, Mounia Lalmas
    Quantum Information Symposium2009
  2. Specificity
    Jovan Pehcevski, Benjamin Piwowarski
    Springer US2009link
  3. Sound and Complete Relevance Assessments for XML Retrieval
    Benjamin Piwowarski, Andrew Trotman, Mounia Lalmas
    Transactions On Information Systems2009link
  4. Movie Recommender: Semantically Enriched Unified Relevance Model for Rating Prediction in Collaborative Filtering Lecture Notes in Computer Science
    Yashar Moshfeghi, Deepak Agarwal, Benjamin Piwowarski, Joemon Jose
    European Conference on Information Retrieval2009linkdoi
  5. Mining User Web Search Activity with Layered Bayesian Networks or How to Capture a Click in its Context
    Benjamin Piwowarski, Georges Dupret, Rosie Jones
    ACM International Conference on Web Search and Data Mining2009linkdoi
  6. Introduction to the special issue on Graphical Models and Information Retrieval
    Juan Fernández-Luna, Juan Huete, Benjamin Piwowarski
    International Journal of Approximate Reasoning2009
  7. Evaluation Metrics for Structured Text Retrieval
    Jovan Pehcevski, Benjamin Piwowarski
    Springer US2009linkdoi
  8. A Quantum-based Model for Interactive Information Retrieval (extended version)
    Benjamin Piwowarski, Mounia Lalmas
    Pre-printarXivarXiv.org2009link
  9. A Quantum-based Model for Interactive Information Retrieval
    Benjamin Piwowarski, Mounia Lalmas
    International Conference on the Theory of Information Retrieval2009

2008

  1. A user browsing model to predict search engine click data from past observations
    Georges Dupret, Benjamin Piwowarski
    ACM SIGIR conference on Research and development in information retrieval2008link

2007

  1. Web Search Engine Evaluation using Clickthrough Data and a User Model
    Georges Dupret, Vanessa Murdock, Benjamin Piwowarski
    Query Log Analysis: Social and Technological Challenges2007
  2. Taking advantage of the semantics of a lesson graph based on learning objects
    Olivier Motelet, Nelson Baloian, Benjamin Piwowarski, Jose Pino
    International Conference on Artificial Intelligence in Education2007
  3. Predictive User Click Models Based on Click-through History
    Benjamin Piwowarski, Hugo Zaragoza
    ACM International Conference on Information and Knowledge Management2007
  4. Enhancing Educational-Material Retrieval using Authored-Lesson Metadata
    Olivier Motelet, Benjamin Piwowarski, Georges Dupret, Jose Pino, Nelson Baloian
    Fourteenth String Processing and Information Retrieval Symposium2007
  5. Effort Precision and Gain-recall based on a probabilistic navigation model
    Gabriella Kazai, Benjamin Piwowarski, Stephen E. Robertson
    International Conference on the Theory of Information Retrieval2007
  6. An Extension of Precision-Recall with User Modelling (PRUM): Application to XML Retrieval
    Benjamin Piwowarski, Patrick Gallinari, Georges Dupret
    ACM Transactions On Information Systems2007linkdoi

2006

  1. Principal Components for Automatic Term Hierarchy Building
    Georges Dupret, Benjamin Piwowarski
    Proceedings of the 13th International Symposium on String Processing and Information Retrieval2006
  2. Evaluation in (XML) Information Retrieval: Expected Precision-Recall with User Modelling (EPRUM)
    Benjamin Piwowarski, Georges Dupret
    SIGIR2006linkdoi
  3. Discovering a Term Taxonomy from Term Similarities Using Principal Component Analysis
    Holger Bast, Georges Dupret, Debapriyo Majumdar, Benjamin Piwowarski
    Semantics, Web and Mining, Joint International Workshops, EWMF 2005 and KDO 20052006
  4. A Statistical Model of Query Log Generation
    Georges Dupret, Benjamin Piwowarski, C. Hurtado, M. Mendoza
    International Symposium on String Processing and Information Retrieval2006

2005

  1. A Bayesian Network for XML Information Retrieval: Searching and Learning with the INEX Collection
    Benjamin Piwowarski, Patrick Gallinari
    Initiative for the Evaluation of XML Retrieval2005doi

2004

  1. Providing Consistent and Exhaustive Relevance Assessments for XML Retrieval Evaluation
    Benjamin Piwowarski, Mounia Lalmas
    Conference on Information and Knowledge Management2004doi
  2. Interface pour l'évaluation de systèmes de recherche sur des documents XML
    Benjamin Piwowarski, Mounia Lalmas
    COnference en Recherche d'Information et Applications2004
  3. Filtering in XML Retrieval: a Prospective Analysis
    Huyen-Trang Vu, Benjamin Piwowarski, Patrick Gallinari
    2004
  4. An algebra for probabilistic XML Retrieval
    Benjamin Piwowarski, Patrick Gallinari
    Twente Data Management Workshop on XML Databases and Information Retrieval2004

2003

  1. Working group report: the Assessment Tool
    Benjamin Piwowarski
    INEX proceedings2003
  2. Techniques d'apprentissage pour le traitement d'informations structurées : application à la recherche d'information
    Benjamin Piwowarski
    2003
  3. Structure, recherche d'information et apprentissage
    Benjamin Piwowarski, Patrick Gallinari
    Extraction et Gestion des Connaissances2003
  4. INEX Guidelines for Topic Development
    Gabriella Kazai, Mounia Lalmas, Benjamin Piwowarski
    2003
  5. Expected Ratio of Relevant Units: A Measure for Structured Information Retrieval
    Benjamin Piwowarski, Patrick Gallinari
    INitiative for the Evaluation of XML Retrieval2003
  6. Bayesian Networks and INEX'03
    Benjamin Piwowarski, Huyen-Trang Vu, Patrick Gallinari
    2003
  7. A Machine Learning Model for Information Retrieval with Structured Documents
    Benjamin Piwowarski, Patrick Gallinari
    Machine Learning and Data Mining in Pattern Recognition2003
    Other version
    • French “Un modèle pour la recherche d'information sur des documents structurés”JADT (2002)

2002

  1. Bayesian networks and INEX
    Benjamin Piwowarski, Georges-Etienne Faure, Patrick Gallinari
    Initiative for the Evaluation of XML retrieval2002
  2. A Bayesian Network Model for Page Retrieval in a Hierarchically Structured Collection
    Benjamin Piwowarski, Patrick Gallinari
    SIGIR2002

2000

  1. Learning in Information Retrieval: a Probabilistic Differential Approach
    Benjamin Piwowarski
    BCS - Information Retrieval Research2000
  2. Apprentissage et Recherche Documentaire : une Approche Probabiliste Différentielle
    Benjamin Piwowarski
    Colloque Francophone sur l'Apprentissage Automatique2000

Other

  1. System and method for deducing user interaction patterns based on limited activities
    Benjamin Piwowarski, Georges Dupret
  2. System and Method for Creating and Applying Predictive User Click Models to Predict a Target Page Associated with a Search Query
    Benjamin Piwowarski, Hugo Zaragoza
  3. Neural ranking model for generating sparse representations for information retrieval
    Stéphane Clinchant, Thibault Formal, Carlos Lassance, Benjamin Piwowarski
    link

Edited volumes

  1. Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval, ICTIR 2025, Padua, Italy, 18 July 2025
    Hamed Zamani, Laura Dietz, Benjamin Piwowarski, Sebastian Bruch (ed.)
    ACM2025doi
  2. Linking Theory and Practice of Digital Libraries: 28th International Conference on Theory and Practice of Digital Libraries, TPDL 2024, Ljubljana, Slovenia, September 24–27, 2024, Proceedings, Part II
    Apostolos Antonacopoulos, Annika Hinze, Benjamin Piwowarski, Mickaël Coustaty, Giorgio Maria Di Nunzio, Francesco Gelati, Nicholas Vanderschantz (ed.)
    Springer Nature Switzerland2024linkdoi
  3. Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019
    Benjamin Piwowarski, Max Chevalier, Éric Gaussier, Yoelle Maarek, Jian-Yun Nie, Falk Scholer (ed.)
    ACM2019doi
  4. Advances in Information Retrieval: 40th European Conference on IR Research, ECIR 2018, Grenoble, France, March 26-29, 2018, Proceedings
    Gabriella Pasi, Benjamin Piwowarski, Leif Azzopardi, Allan Hanbury (ed.)
    Springer International Publishing2018linkdoi