Bayesian Networks and INEX. - Benjamin Piwowarski; Georges-Etienne Faure; Patrick Gallinari (INEX Workshop, 2002)

Working Group Report: the Assessment Tool. - Benjamin Piwowarski (INEX, 2003)

Expected Ratio of Relevant Units: A Measure for Structured Information Retrieval. - Benjamin Piwowarski; Patrick Gallinari (INEX, 2003)

Bayesian Networks and INEX'03. - Benjamin Piwowarski; Huyen-Trang Vu; Patrick Gallinari (INEX, 2003)

A Machine Learning Model for Information Retrieval with Structured Documents. - Benjamin Piwowarski; Patrick Gallinari (MLDM, 2003)

Providing consistent and exhaustive relevance assessments for XML retrieval evaluation. - Benjamin Piwowarski; Mounia Lalmas (CIKM, 2004)

Interface pour l'évaluation de systèmes de recherche sur des documents XML. - Benjamin Piwowarski; Mounia Lalmas (CORIA, 2004)

An Algebra for Structured Queries in Bayesian Networks. - Jean-Noël Vittaut; Benjamin Piwowarski; Patrick Gallinari (INEX, 2004)

An Algebra for Probabilistic XML Retrieval. - Benjamin Piwowarski; Patrick Gallinari (TDM, 2004)

Discovering a Term Taxonomy from Term Similarities Using Principal Component Analysis. - Hannah Bast; Georges Dupret; Debapriyo Majumdar; Benjamin Piwowarski (EWMF/KDO, 2005)

EPRUM Metrics and INEX 2005. - Benjamin Piwowarski (INEX, 2005)

A Bayesian Framework for XML Information Retrieval: Searching and Learning with the INEX Collection. - Benjamin Piwowarski; Patrick Gallinari (Inf. Retr., 2005)

INEX 2006 Evaluation Measures. - Mounia Lalmas; Gabriella Kazai; Jaap Kamps; Jovan Pehcevski; Benjamin Piwowarski; Stephen Robertson (INEX, 2006)

Evaluation in (XML) information retrieval: expected precision-recall with user modelling (EPRUM). - Benjamin Piwowarski; Georges Dupret (SIGIR, 2006)

Principal Components for Automatic Term Hierarchy Building. - Georges Dupret; Benjamin Piwowarski (SPIRE, 2006)

A Statistical Model of Query Log Generation. - Georges Dupret; Benjamin Piwowarski; Carlos A. Hurtado; Marcelo Mendoza (SPIRE, 2006)

Taking advantage of the Semantics of a Lesson Graph based on Learning Objects. - Olivier Motelet; Nelson Baloian; Benjamin Piwowarski; José A. Pino (AIED, 2007)

Predictive user click models based on click-through history. - Benjamin Piwowarski; Hugo Zaragoza (CIKM, 2007)

Enhancing Educational-Material Retrieval Using Authored-Lesson Metadata. - Olivier Motelet; Benjamin Piwowarski; Georges Dupret; José A. Pino; Nelson Baloian (SPIRE, 2007)

Information retrieval and applications of graphical models (IRGM 2007). - Juan M. Fernández-Luna; Benjamin Piwowarski; Juan F. Huete (SIGIR Forum, 2007)

Precision recall with user modeling (PRUM): Application to structured information retrieval. - Benjamin Piwowarski; Patrick Gallinari; Georges Dupret (ACM Trans. Inf. Syst., 2007)

A user browsing model to predict search engine click data from past observations. - Georges Dupret; Benjamin Piwowarski (SIGIR, 2008)

Sound and complete relevance assessment for XML retrieval. - Benjamin Piwowarski; Andrew Trotman; Mounia Lalmas (ACM Trans. Inf. Syst., 2008)

Movie Recommender: Semantically Enriched Unified Relevance Model for Rating Prediction in Collaborative Filtering. - Yashar Moshfeghi; Deepak Agarwal; Benjamin Piwowarski; Joemon M. Jose (ECIR, 2009)

A Quantum-Based Model for Interactive Information Retrieval. - Benjamin Piwowarski; Mounia Lalmas (ICTIR, 2009)

Structured Information Retrieval and Quantum Theory. - Benjamin Piwowarski; Mounia Lalmas (QI, 2009)

Mining user web search activity with layered bayesian networks or how to capture a click in its context. - Benjamin Piwowarski; Georges Dupret; Rosie Jones (WSDM, 2009)

A Quantum-based Model for Interactive Information Retrieval (extended version) - Benjamin Piwowarski; Mounia Lalmas (CoRR, 2009)

Introduction to the special issue on Graphical Models and Information Retrieval. - Juan M. Fernández-Luna; Juan F. Huete; Benjamin Piwowarski (Int. J. Approx. Reason., 2009)

Evaluation Metrics for Structured Text Retrieval. - Jovan Pehcevski; Benjamin Piwowarski (Encyclopedia of Database Systems, 2009)

Specificity. - Jovan Pehcevski; Benjamin Piwowarski (Encyclopedia of Database Systems, 2009)

How Quantum Theory Is Developing the Field of Information Retrieval. - Dawei Song 001; Mounia Lalmas; Keith van Rijsbergen; Ingo Frommholz; Benjamin Piwowarski; Jun Wang 012; Peng Zhang 002; Guido Zuccon; Peter Bruza; Sachi Arafat; Leif Azzopardi; Emanuele Di Buccio; et al. (AAAI Fall Symposium: Quantum Informatics for Cognitive, Social, and Semantic Processes, 2010)

Dynamics of Genre and Domain Intents. - Shanu Sushmita; Benjamin Piwowarski; Mounia Lalmas (AIRS, 2010)

What can quantum theory bring to information retrieval. - Benjamin Piwowarski; Ingo Frommholz; Mounia Lalmas; Keith van Rijsbergen (CIKM, 2010)

Filtering Documents with Subspaces. - Benjamin Piwowarski; Ingo Frommholz; Yashar Moshfeghi; Mounia Lalmas; Keith van Rijsbergen (ECIR, 2010)

Supporting polyrepresentation in a quantum-inspired geometrical retrieval framework. - Ingo Frommholz; Birger Larsen; Benjamin Piwowarski; Mounia Lalmas; Peter Ingwersen; Keith van Rijsbergen (IIiX, 2010)

Exploring a multidimensional representation of documents and queries. - Benjamin Piwowarski; Mounia Lalmas; Ingo Frommholz; Keith van Rijsbergen (RIAO, 2010)

A user behavior model for average precision and its generalization to graded judgments. - Georges Dupret; Benjamin Piwowarski (SIGIR, 2010)

Exploring a Multidimensional Representation of Documents and Queries (extended version) - Benjamin Piwowarski; Ingo Frommholz; Mounia Lalmas; Keith van Rijsbergen (CoRR, 2010)

Processing Queries in Session in a Quantum-Inspired IR Framework. - Ingo Frommholz; Benjamin Piwowarski; Mounia Lalmas; Keith van Rijsbergen (ECIR, 2011)

On the use of Complex Numbers in Quantum Models for Information Retrieval. - Guido Zuccon; Benjamin Piwowarski; Leif Azzopardi (ICTIR, 2011)

A Query Algebra for Quantum Information Retrieval. - Annalina Caputo; Benjamin Piwowarski; Mounia Lalmas (IIR, 2011)

Handling data sparsity in collaborative filtering using emotion and semantic based features. - Yashar Moshfeghi; Benjamin Piwowarski; Joemon M. Jose (SIGIR, 2011)

The Kernel Quantum Probabilities (KQP) Library - Benjamin Piwowarski (CoRR, 2012)

Beyond Cumulated Gain and Average Precision: Including Willingness and Expectation in the User Model - Benjamin Piwowarski; Georges Dupret; Mounia Lalmas (CoRR, 2012)

On using a quantum physics formalism for multidocument summarization. - Benjamin Piwowarski; Massih-Reza Amini; Mounia Lalmas (J. Assoc. Inf. Sci. Technol., 2012)

Méthodologie pour une représentation multi-dimensionnelle des documents. - Benjamin Piwowarski (CORIA, 2013)

Quantum Mechanics and Information Retrieval: From Theory to Application. - Massimo Melucci; Benjamin Piwowarski (ICTIR, 2013)

Diversification Based Static Index Pruning - Application to Temporal Collections. - Zeynep Pehlivan; Benjamin Piwowarski; Stéphane Gançarski (CoRR, 2013)

Model Based Comparison of Discounted Cumulative Gain and Average Precision. - Georges Dupret; Benjamin Piwowarski (J. Discrete Algorithms, 2013)

Filtrage collaboratif et intégration de la polarité des jugements. - Luc-Aurélien Gauthier; Benjamin Piwowarski; Patrick Gallinari (CORIA-CIFED, 2014)

Leveraging Rating Behavior to Predict Negative Social Ties. - Luc-Aurélien Gauthier; Benjamin Piwowarski; Patrick Gallinari (ASONAM, 2015)

Graph Based Method Approach to the ImageCLEF2015 Task1 - Image Annotation. - Ludovic Dos Santos; Benjamin Piwowarski; Patrick Gallinari (CLEF (Working Notes), 2015)

Polarité des jugements et des interactions pour le filtrage collaboratif et la prédiction de liens sociaux. - Luc-Aurélien Gauthier; Benjamin Piwowarski; Patrick Gallinari (CORIA, 2015)

Parameterized Neural Network Language Models for Information Retrieval. - Benjamin Piwowarski; Sylvain Lamprier; Nicolas Desprès (CoRR, 2015)

Apprentissage de modèles de langue neuronaux pour la recherche d'information. - Nicolas Desprès; Sylvain Lamprier; Benjamin Piwowarski (CORIA-CIFED, 2016)

Représentation temporelle des mots : application au clustering de micro-blogs. - Zeljko Kraljevic; Nicolas Baskiotis; Benjamin Piwowarski; Patrick Gallinari (CORIA-CIFED, 2016)

Texte et Représentation en Recherche d'Information. - Benjamin Piwowarski (CORIA-CIFED, 2016)

Multilabel Classification on Heterogeneous Graphs with Gaussian Embeddings. - Ludovic Dos Santos; Benjamin Piwowarski; Patrick Gallinari (ECML/PKDD (2), 2016)

Learning Term Weights for Ad-hoc Retrieval. - Benjamin Piwowarski (CoRR, 2016)

Efficient Document Indexing Using Pivot Tree. - Gaurav Singh; Benjamin Piwowarski (CoRR, 2016)

LIP6@CLEF2017: Multi-Modal Spatial Role Labeling using Word Embeddings. - Eloi Zablocki; Patrick Bordes; Laure Soulier; Benjamin Piwowarski; Patrick Gallinari (CLEF (Working Notes), 2017)

Gaussian Embeddings for Collaborative Filtering. - Ludovic Dos Santos; Benjamin Piwowarski; Patrick Gallinari (SIGIR, 2017)

Learning Multi-Modal Word Representation Grounded in Visual Context. - Eloi Zablocki; Benjamin Piwowarski; Laure Soulier; Patrick Gallinari (AAAI, 2018)

Représentations Gaussiennes pour le Filtrage Collaboratif. - Hadrien Titeux; Benjamin Piwowarski; Patrick Gallinari (CORIA, 2018)

Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification. - Alejandro Lopez Rincon; Alberto Paolo Tonda; Mohamed Elati; Olivier Schwander; Benjamin Piwowarski; Patrick Gallinari (Appl. Soft Comput., 2018)

Representation Learning for Classification in Heterogeneous Graphs with Application to Social Networks. - Ludovic Dos Santos; Benjamin Piwowarski; Ludovic Denoyer; Patrick Gallinari (ACM Trans. Knowl. Discov. Data, 2018)

Evaluation Metrics for Structured Text Retrieval. - Jovan Pehcevski; Benjamin Piwowarski (Encyclopedia of Database Systems (2nd ed.), 2018)

Specificity. - Jovan Pehcevski; Benjamin Piwowarski (Encyclopedia of Database Systems (2nd ed.), 2018)

Self-Attention Architectures for Answer-Agnostic Neural Question Generation. - Thomas Scialom; Benjamin Piwowarski; Jacopo Staiano (ACL (1), 2019)

Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses. - Étienne Simon; Vincent Guigue; Benjamin Piwowarski (ACL (1), 2019)

Un modèle multimodal d'apprentissage de représentations de phrases qui préserve la sémantique visuelle. - Patrick Bordes; Eloi Zablocki; Laure Soulier; Benjamin Piwowarski; Patrick Gallinari (CORIA, 2019)

Architecture basée sur les mécanismes d'attention: le cas de la génération de questions neuronales. - Thomas Scialom; Benjamin Piwowarski; Jacopo Staiano (CORIA, 2019)

Incorporating Visual Semantics into Sentence Representations within a Grounded Space. - Patrick Bordes; Eloi Zablocki; Laure Soulier; Benjamin Piwowarski; Patrick Gallinari (EMNLP/IJCNLP (1), 2019)

Answers Unite! Unsupervised Metrics for Reinforced Summarization Models. - Thomas Scialom; Sylvain Lamprier; Benjamin Piwowarski; Jacopo Staiano (EMNLP/IJCNLP (1), 2019)

Context-Aware Zero-Shot Learning for Object Recognition. - Eloi Zablocki; Patrick Bordes; Laure Soulier; Benjamin Piwowarski; Patrick Gallinari (ICML, 2019)

Learning Representation for Information Access. - Benjamin Piwowarski (2020)

Using BERT and BART for Query Suggestion. - Agnès Mustar; Sylvain Lamprier; Benjamin Piwowarski (CIRCLE, 2020)

MLSUM: The Multilingual Summarization Corpus. - Thomas Scialom; Paul-Alexis Dray; Sylvain Lamprier; Benjamin Piwowarski; Jacopo Staiano (EMNLP (1), 2020)

Discriminative Adversarial Search for Abstractive Summarization. - Thomas Scialom; Paul-Alexis Dray; Sylvain Lamprier; Benjamin Piwowarski; Jacopo Staiano (ICML, 2020)

ColdGANs: Taming Language GANs with Cautious Sampling Strategies. - Thomas Scialom; Paul-Alexis Dray; Sylvain Lamprier; Benjamin Piwowarski; Jacopo Staiano (NeurIPS, 2020)

Experimaestro and Datamaestro: Experiment and Dataset Managers (for IR). - Benjamin Piwowarski (SIGIR, 2020)

Naver Labs Europe @ TREC Deep Learning 2020. - Thibault Formal; Benjamin Piwowarski; Stéphane Clinchant (TREC, 2020)

Transductive Zero-Shot Learning using Cross-Modal CycleGAN. - Patrick Bordes; Eloi Zablocki; Benjamin Piwowarski; Patrick Gallinari (CoRR, 2020)

Une Analyse du Modèle ColBERT. - Thibault Formal; Benjamin Piwowarski; Stéphane Clinchant (CORIA, 2021)

A White Box Analysis of ColBERT. - Thibault Formal; Benjamin Piwowarski; Stéphane Clinchant (ECIR (2), 2021)

Skim-Attention: Learning to Focus via Document Layout. - Laura Nguyen; Thomas Scialom; Jacopo Staiano; Benjamin Piwowarski (EMNLP (Findings), 2021)

Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation. - Clément Rebuffel; Thomas Scialom; Laure Soulier; Benjamin Piwowarski; Sylvain Lamprier; Jacopo Staiano; Geoffrey Scoutheeten; Patrick Gallinari (EMNLP (1), 2021)

QuestEval: Summarization Asks for Fact-based Evaluation. - Thomas Scialom; Paul-Alexis Dray; Sylvain Lamprier; Benjamin Piwowarski; Jacopo Staiano; Alex Wang; Patrick Gallinari (EMNLP (1), 2021)

To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs. - Thomas Scialom; Paul-Alexis Dray; Jacopo Staiano; Sylvain Lamprier; Benjamin Piwowarski (NeurIPS, 2021)

SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking. - Thibault Formal; Benjamin Piwowarski; Stéphane Clinchant (SIGIR, 2021)

Naver Labs Europe (SPLADE) @ TREC Deep Learning 2021. - Carlos Lassance; Arnaud Sors; Stéphane Clinchant; Thibault Formal; Benjamin Piwowarski (TREC, 2021)

SAFEval: Summarization Asks for Fact-based Evaluation. - Thomas Scialom; Paul-Alexis Dray; Patrick Gallinari; Sylvain Lamprier; Benjamin Piwowarski; Jacopo Staiano; Alex Wang (CoRR, 2021)

SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval. - Thibault Formal; Carlos Lassance; Benjamin Piwowarski; Stéphane Clinchant (CoRR, 2021)

A Study of Lexical Matching in Neural Information Retrieval - Abstract⋆. - Thibault Formal; Benjamin Piwowarski; Stéphane Clinchant (CIRCLE, 2022)

Match Your Words! A Study of Lexical Matching in Neural Information Retrieval. - Thibault Formal; Benjamin Piwowarski; Stéphane Clinchant (ECIR (2), 2022)

Generative Cooperative Networks for Natural Language Generation. - Sylvain Lamprier; Thomas Scialom; Antoine Chaffin; Vincent Claveau; Ewa Kijak; Jacopo Staiano; Benjamin Piwowarski (ICML, 2022)

IRnator: A Framework for Discovering Users Needs from Sets of Suggestions. - Agnès Mustar; Sylvain Lamprier; Benjamin Piwowarski (ICTIR, 2022)

Which Discriminator for Cooperative Text Generation? - Antoine Chaffin; Thomas Scialom; Sylvain Lamprier; Jacopo Staiano; Benjamin Piwowarski; Ewa Kijak; Vincent Claveau (SIGIR, 2022)

From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective. - Thibault Formal; Carlos Lassance; Benjamin Piwowarski; Stéphane Clinchant (SIGIR, 2022)

Choisir le bon co-équipier pour la génération coopérative de texte (Choosing The Right Teammate For Cooperative Text Generation). - Antoine Chaffin; Vincent Claveau; Ewa Kijak; Sylvain Lamprier; Benjamin Piwowarski; Thomas Scialom; Jacopo Staiano (TALN-RECITAL, 2022)

MLIA-DAC@TREC CAsT 2022: Sparse Contextualized Query Embedding. - Nam Le Hai; Thomas Gerald; Thibault Formal; Jian-Yun Nie; Benjamin Piwowarski; Laure Soulier (TREC, 2022)

On the Study of Transformers for Query Suggestion. - Agnès Mustar; Sylvain Lamprier; Benjamin Piwowarski (ACM Trans. Inf. Syst., 2022)

LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization. - Laura Nguyen; Thomas Scialom; Benjamin Piwowarski; Jacopo Staiano (EACL, 2023)

Query Performance Prediction for Neural IR: Are We There Yet? - Guglielmo Faggioli; Thibault Formal; Stefano Marchesin 001; Stéphane Clinchant; Nicola Ferro 001; Benjamin Piwowarski (ECIR (1), 2023)

CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval. - Nam Le Hai; Thomas Gerald; Thibault Formal; Jian-Yun Nie; Benjamin Piwowarski; Laure Soulier (ECIR (1), 2023)

Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities. - Guglielmo Faggioli; Thibault Formal; Simon Lupart; Stefano Marchesin 001; Stéphane Clinchant; Nicola Ferro 001; Benjamin Piwowarski (ICTIR, 2023)

On the Limitations of Query Performance Prediction for Neural IR. - Guglielmo Faggioli; Thibault Formal; Stefano Marchesin 001; Stéphane Clinchant; Nicola Ferro 001; Benjamin Piwowarski (SEBD, 2023)

XpmIR: A Modular Library for Learning to Rank and Neural IR Experiments. - Yuxuan Zong; Benjamin Piwowarski (SIGIR, 2023)

XPMIR: Une bibliothèque modulaire pour l'apprentissage d'ordonnancement et les expériences de RI neuronale. - Yuxuan Zong; Benjamin Piwowarski (CORIA-TALN, 2023)

Learning Relational Decomposition of Queries for Question Answering from Tables. - Raphaël Mouravieff; Benjamin Piwowarski; Sylvain Lamprier (ACL (1), 2024)

Adaptation de Domaine Simple pour la Recherche Parcimonieuse. - Mathias Vast; Yuxuan Zong; Basile Van Cooten; Benjamin Piwowarski; Laure Soulier (CORIA, 2024)

Structured representation for Information Retrieval. - Yuxuan Zong; Benjamin Piwowarski (CORIA, 2024)

What Makes Multimodal In-Context Learning Work? - Folco Bertini Baldassini; Mustafa Shukor; Matthieu Cord; Laure Soulier; Benjamin Piwowarski (CVPR Workshops, 2024)

Simple Domain Adaptation for Sparse Retrievers. - Mathias Vast; Yuxuan Zong; Benjamin Piwowarski; Laure Soulier (ECIR (3), 2024)

Learning Reading Order via Document Layout with Layout2Pos. - Laura Nguyen; Benjamin Piwowarski; Julio Laborde; Gilles Moyse (TPDL (1), 2024)

Which Neurons Matter in IR? Applying Integrated Gradients-based Methods to Understand Cross-Encoders. - Mathias Vast; Basile Van Cooten; Laure Soulier; Benjamin Piwowarski (ICTIR, 2024)

Simple Domain Adaptation for Sparse Retrievers. - Mathias Vast; Yuxuan Zong; Basile Van Cooten; Benjamin Piwowarski; Laure Soulier (CoRR, 2024)

Training Table Question Answering via SQL Query Decomposition. - Raphaël Mouravieff; Benjamin Piwowarski; Sylvain Lamprier (CoRR, 2024)

Probing Language Models on Their Knowledge Source. - Zineddine Tighidet; Andrea Mogini; Jiali Mei; Benjamin Piwowarski; Patrick Gallinari (CoRR, 2024)

Towards Effective and Efficient Sparse Neural Information Retrieval. - Thibault Formal; Carlos Lassance; Benjamin Piwowarski; Stéphane Clinchant (ACM Trans. Inf. Syst., 2024)

MEXMA: Token-level objectives improve sentence representations. - João Maria Janeiro; Benjamin Piwowarski; Patrick Gallinari; Loïc Barrault (ACL (1), 2025)

Structural Deep Encoding for Table Question Answering. - Raphaël Mouravieff; Benjamin Piwowarski; Sylvain Lamprier (ACL (Findings), 2025)

Rational Retrieval Acts: Leveraging Pragmatic Reasoning to Improve Sparse Retrieval. - Arthur Satouf; Gabriel Ben Zenou; Benjamin Piwowarski; Habiboulaye Amadou Boubacar; Pablo Piantanida (SIGIR, 2025)

Towards Lossless Token Pruning in Late-Interaction Retrieval Models. - Yuxuan Zong; Benjamin Piwowarski (SIGIR, 2025)

Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends. - Camille Barboule; Benjamin Piwowarski; Yoan Chabot (CoRR, 2025)

Understanding Matching Mechanisms in Cross-Encoders. - Mathias Vast; Basile Van Cooten; Laure Soulier; Benjamin Piwowarski (CoRR, 2025)