Publications | Benjamin Piwowarski

Thibault Formal, Carlos Lassance, Benjamin Piwowarski, Stéphane Clinchant (2023). Towards Effective and Efficient Sparse Neural Information Retrieval. ACM Transactions on Information Systems.

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

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

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

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

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

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Ludovic Denoyer, Benjamin Piwowarski (2023). Les systèmes d’intelligence artificielle pour la génération d’images. Science et Pseudosciences.

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Nam Le Hai, Thomas Gerald, Thibault Formal, Jian-Yun Nie, Benjamin Piwowarksi, Laure Soulier (2023). CoSPLADE : Adaptation d'un Modèle Neuronal Basé sur des Représentations Parcimonieuses pour la Recherche d'Information Conversationnelle.

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

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

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Sylvain Lamprier, Thomas Scialom, Antoine Chaffin, Vincent Claveau, Ewa Kijak, Jacopo Staiano, Benjamin Piwowarski (2022). Generative Cooperative Networks for Natural Language Generation. International Conference on Machine Learning.

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Antoine Chaffin, Thomas Scialom, Sylvain Lamprier, Jacopo Staiano, Benjamin Piwowarski, Ewa Kijak, Vincent Claveau (2022). Choisir le bon co-équipier pour la génération coopérative de texte. TALN 2022 - 29e conférence sur le Traitement Automatique des Langues Naturelles.

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Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant (2022). Match your words! A study of lexical matching in neural information retrieval. ECIR.

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Agnès Mustar, Sylvain Lamprier, Benjamin Piwowarski (2022). On the Study of Transformers for Query Suggestion. ACM Transactions on Information Systems.

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

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

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

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

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

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

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

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

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

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

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Thomas Scialom, Paul-Alexis Dray, Jacopo Staiano, Sylvain Lamprier, Benjamin Piwowarski (2021). To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs. Advances in Neural Information Processing Systems.

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Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant (2021). Une Analyse du Modèle ColBERT. Conférence francophone en Recherche d’Information et Application.

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

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

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

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Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant (2020). A White Box Analysis of ColBERT.

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

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

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Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano (2020). Discriminative Adversarial Search for Abstractive Summarization. International Conference on Machine Learning.

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

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

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Agnès Mustar, Sylvain Lamprier, Benjamin Piwowarski (2020). Using BERT and BART for Query Suggestion. Joint Conference of the Information Retrieval Communities in Europe.

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

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Étienne Simon, Vincent Guigue, Benjamin Piwowarski (2019). Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses. Proceedings of the Association for Computational Linguistics.

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

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Éloi Zablocki, Patrick Bordes, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari (2019). Context-Aware Zero-Shot Learning for Object Recognition. International Conference on Machine Learning.

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Patrick Bordes, Éloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari (2019). Un modèle multimodal d’apprentissage de représentations de phrases qui préserve la sémantique visuelle. conférence francophone en Recherche d’Information et Application.

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Éloi Zablocki, Patrick Bordes, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari (2019). Incorporating Visual Semantics into Sentence Representations within a Grounded Space. EMNLP.

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

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

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Ludovic Dos Santos, Benjamin Piwowarski, Ludovic Denoyer, Patrick Gallinari (2018). Representation Learning for Classification in Heterogeneous Graphs with Application to Social Networks. ACM Transactions on Knowledge Discovery from Data.

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Éloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari (2018). Apprentissage multimodal de représentation de mots à l'aide de contexte visuel.

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

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

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Éloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari (2018). Learning Multi-Modal Word Representation Grounded in Visual Context. Association for the Advancement of Artificial Intelligence.

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

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

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

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Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari (2016). Multilabel Classification on Heterogeneous Graphs with Gaussian Embeddings. European Conference on Machine Learning.

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Ludovic Denoyer, Benjamin Piwowarski, Patrick Gallinari, Ali Ziat (2016). Modeling Relational Time Series using Gaussian Embeddings. NIPS Time Series Workshop.

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Ludovic Dos Santos, Ludovic Denoyer, Benjamin Piwowarski, Patrick Gallinari, Ali Ziat (2016). Modeling Relational Time Series using Gaussian Embeddings.

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

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

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Nicolas Despres, Sylvain Lamprier, Benjamin Piwowarski (2016). Apprentissage de Modèles de Langue Neuronaux pour la Recherche d'Information.

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Luc-Aurélien Gauthier, Benjamin Piwowarski, Patrick Gallinari (2015). Polarité des jugements et des interactions pour le filtrage collaboratif et la prédiction de liens sociaux.. Conférence en Recherche d’Informations et Applications.

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Benjamin Piwowarski, Sylvain Lamprier, Nicolas Despres (2015). Parameterized Neural Network Language Models for Information Retrieval.

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Luc-Aurélien Gauthier, Benjamin Piwowarski, Patrick Gallinari (2015). Leveraging rating behavior to predict negative social ties. International Conference on Advances in Social Networks Analysis and Mining.

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Luc-Aurélien Gauthier (2015). Inférence de liens signés dans les réseaux sociaux, par apprentissage à partir d'interactions utilisateur.

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

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

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

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

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

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Zeynep Pehlivan, Benjamin Piwowarski, Stéphane Gançarski (2013). A comparison of static index pruning methods with temporal queries.

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

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Benjamin Piwowarski (2012). The Kernel Quantum Probabilities (KQP) Library.

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Benjamin Piwowarski, Massih-Reza Amini, Mounia Lalmas (2012). On using a quantum physics formalism for multidocument summarization. Journal of the American Society for Information Science and Technology.

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

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S Attfield, G Kazai, M Lalmas, Benjamin Piwowarski (2011). Towards a science of user engagement (Position Paper).

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

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Benjamin Piwowarski, Roi Blanco (2011). Introducción a la recuperación de información.

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Yashar Moshfeghi, Benjamin Piwowarski, Joemon Jose (2011). Handling Data Sparsity in Collaborative Filtering using Emotion and Semantic Based Features. ACM SIGIR Conference on Research and Development in Information Retrieval.

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

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Ingo Frommholz, Birger Larsen, Benjamin Piwowarski, Mounia Lalmas, Peter Ingwersen, Keith Rijsbergen (2010). Supporting Polyrepresentation in a Quantum-inspired Geometrical Retrieval Framework.

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Benjamin Piwowarski, Ingo Frommholz, Mounia Lalmas, Keith Rijsbergen (2010). What can Quantum Theory bring to IR?. Conference on information and knowledge management.

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Benjamin Piwowarski, Ingo Frommholz, Yashar Moshfeghi, Mounia Lalmas, Keith Rijsbergen (2010). Filtering documents with subspaces.

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

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Benjamin Piwowarski, Ingo Frommholz, Mounia Lalmas, Keith Rijsbergen (2010). Exploring a Multidimensional Representation of Documents and Queries. Recherche d’Information Assistée par Ordinateur (RIAO).

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

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Georges Dupret, Benjamin Piwowarski (2010). A User Behavior Model for Average Precision and its Generalization to Graded Judgments. ACM SIGIR Conference on Research and Development in Information Retrieval.

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Benjamin Piwowarski, Georges Dupret, Rosie Jones (2009). Mining User Web Search Activity with Layered Bayesian Networks or How to Capture a Click in its Context. ACM International Conference on Web Search and Data Mining.

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Benjamin Piwowarski, Mounia Lalmas (2009). Structured Information Retrieval and Quantum Theory. Quantum Information Symposium.

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Jovan Pehcevski, Benjamin Piwowarski (2009). Specificity.

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Benjamin Piwowarski, Andrew Trotman, Mounia Lalmas (2009). Sound and Complete Relevance Assessments for XML Retrieval. Transactions On Information Systems.

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Yashar Moshfeghi, Deepak Agarwal, Benjamin Piwowarski, Joemon Jose (2009). Movie Recommender: Semantically Enriched Unified Relevance Model for Rating Prediction in Collaborative Filtering Lecture Notes in Computer Science. European Conference on Information Retrieval.

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Juan Fernández-Luna, Juan Huete, Benjamin Piwowarski (2009). Introduction to the special issue on Graphical Models and Information Retrieval. International Journal of Approximate Reasoning.

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Jovan Pehcevski, Benjamin Piwowarski (2009). Evaluation Metrics for Structured Text Retrieval.

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

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Benjamin Piwowarski, Mounia Lalmas (2009). A Quantum-based Model for Interactive Information Retrieval. International Conference on the Theory of Information Retrieval.

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Georges Dupret, Benjamin Piwowarski (2008). A user browsing model to predict search engine click data from past observations. ACM SIGIR conference on Research and development in information retrieval.

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Georges Dupret, Vanessa Murdock, Benjamin Piwowarski (2007). Web Search Engine Evaluation using Clickthrough Data and a User Model.

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Olivier Motelet, Nelson Baloian, Benjamin Piwowarski, Jose Pino (2007). Taking advantage of the semantics of a lesson graph based on learning objects. International Conference on Artificial Intelligence in Education.

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Benjamin Piwowarski, Hugo Zaragoza (2007). Predictive User Click Models Based on Click-through History. ACM International Conference on Information and Knowledge Management.

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Olivier Motelet, Benjamin Piwowarski, Georges Dupret, Jose Pino, Nelson Baloian (2007). Enhancing Educational-Material Retrieval using Authored-Lesson Metadata.

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Gabriella Kazai, Benjamin Piwowarski, Stephen E. Robertson (2007). Effort Precision and Gain-recall based on a probabilistic navigation model. International Conference on the Theory of Information Retrieval.

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Benjamin Piwowarski, Patrick Gallinari, Georges Dupret (2007). An Extension of Precision-Recall with User Modelling (PRUM): Application to XML Retrieval. ACM Transactions On Information Systems.

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

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Benjamin Piwowarski, Georges Dupret (2006). Evaluation in (XML) Information Retrieval: Expected Precision-Recall with User Modelling (EPRUM).

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Holger Bast, Georges Dupret, Debapriyo Majumdar, Benjamin Piwowarski (2006). Discovering a Term Taxonomy from Term Similarities Using Principal Component Analysis.

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Georges Dupret, Benjamin Piwowarski, C. Hurtado, M. Mendoza (2006). A Statistical Model of Query Log Generation. International Symposium on String Processing and Information Retrieval.

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Benjamin Piwowarski, Patrick Gallinari (2005). A Bayesian Network for XML Information Retrieval: Searching and Learning with the INEX Collection. Initiative for the Evaluation of XML Retrieval.

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Benjamin Piwowarski, Mounia Lalmas (2004). Providing Consistent and Exhaustive Relevance Assessments for XML Retrieval Evaluation. Conference on Information and Knowledge Management.

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Benjamin Piwowarski, Mounia Lalmas (2004). Interface pour l'évaluation de systèmes de recherche sur des documents XML. COnference en Recherche d’Information et Applications.

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Huyen-Trang Vu, Benjamin Piwowarski, Patrick Gallinari (2004). Filtering in XML Retrieval: a Prospective Analysis.

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Benjamin Piwowarski, Patrick Gallinari (2004). An algebra for probabilistic XML Retrieval. Twente Data Management Workshop on XML Databases and Information Retrieval.

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Benjamin Piwowarski (2003). Working group report: the Assessment Tool.

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Benjamin Piwowarski (2003). Techniques d'apprentissage pour le traitement d'informations structurées : application à la recherche d'information.

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Benjamin Piwowarski, Patrick Gallinari (2003). Structure, recherche d'information et apprentissage. Extraction et Gestion des Connaissances.

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Gabriella Kazai, Mounia Lalmas, Benjamin Piwowarski (2003). INEX Guidelines for Topic Development.

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Benjamin Piwowarski, Patrick Gallinari (2003). Expected Ratio of Relevant Units: A Measure for Structured Information Retrieval. INitiative for the Evaluation of XML Retrieval.

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

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

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Ludovic Denoyer, Benjamin Piwowarski, Patrick Gallinari (2002). Un modèle pour la recherche d'information sur des documents structurés.

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Benjamin Piwowarski, Georges-Etienne Faure, Patrick Gallinari (2002). Bayesian networks and INEX. Initiative for the Evaluation of XML retrieval.

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Benjamin Piwowarski, Patrick Gallinari (2002). A Bayesian Network Model for Page Retrieval in a Hierarchically Structured Collection.

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Benjamin Piwowarski (2000). Learning in Information Retrieval: a Probabilistic Differential Approach. BCS - Information Retrieval Research.

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Benjamin Piwowarski (2000). Apprentissage et Recherche Documentaire : une Approche Probabiliste Différentielle.

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