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  • Benjamin Piwowarski

  • Chargé de Recherche
  • Équipe: MLIA
  • Email: Benjamin@piwowarski.fr
  • Telephone:0144277260
  • Addresse: Pyramide – Tour 55, 4 place Jussieu, 75005 Paris
  • Site web: https://www.piwowarski.fr

Publications

  • Folco Bertini Baldassini, Mustafa Shukor, Matthieu Cord, Laure Soulier, Benjamin Piwowarski. What Makes Multimodal In-Context Learning Work?. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Jun 2024, Seattle, United States. pp.1539-1550, ⟨10.1109/CVPRW63382.2024.00161⟩. ⟨hal-04791285⟩
  • Laura Nguyen, Benjamin Piwowarski, Julio Laborde, Gilles Moyse. Learning Reading Order via Document Layout with Layout2Pos. Linking Theory and Practice of Digital Libraries, Sep 2024, Ljubbljana, Slovenia. pp.3-19, ⟨10.1007/978-3-031-72437-4_1⟩. ⟨hal-04718874⟩
  • João Maria Janeiro, Benjamin Piwowarski, Patrick Gallinari, Loïc Barrault. MEXMA: Token-level objectives improve sentence representations. 2024. ⟨hal-04788199⟩
  • Mathias Vast, Basile van Cooten, Laure Soulier, Benjamin Piwowarski. Which Neurons Matter in IR? Applying Integrated Gradients-based Methods to Understand Cross-Encoders. ICTIR '24: The 2024 ACM SIGIR International Conference on the Theory of Information Retrieval, Jul 2024, Washington DC, United States. pp.133-143, ⟨10.1145/3664190.3672528⟩. ⟨hal-04668348⟩
  • Thibault Formal, Carlos Lassance, Benjamin Piwowarski, Stéphane Clinchant. Towards Effective and Efficient Sparse Neural Information Retrieval. ACM Transactions on Information Systems, 2024, 42 (5), pp.1-46. ⟨10.1145/3634912⟩. ⟨hal-04787990⟩
  • Folco Bertini Baldassini, Mustafa Shukor, Matthieu Cord, Laure Soulier, Benjamin Piwowarski. What Makes Multimodal In-Context Learning Work?. 2024. ⟨hal-04788197⟩
  • Yuxuan Zong, Benjamin Piwowarski. Structured representation for Information Retrieval. COnférence en Recherche d'Informations et Applications, Apr 2024, La Rochelle, France. ⟨10.24348/coria.2024.abstract_24⟩. ⟨hal-04788243⟩
  • Mathias Vast, Yuxuan Zong, Benjamin Piwowarski, Laure Soulier. Simple Domain Adaptation for Sparse Retrievers. Advances in Information Retrieval, 14610, Springer Nature Switzerland, pp.403-412, 2024, Lecture Notes in Computer Science, ⟨10.1007/978-3-031-56063-7_32⟩. ⟨hal-04517668⟩
  • Raphaël Mouravieff, Benjamin Piwowarski, Sylvain Lamprier. Training Table Question Answering via SQL Query Decomposition. 2024. ⟨hal-04788185⟩
  • Raphaël Mouravieff, Benjamin Piwowarski, Sylvain Lamprier. Learning Relational Decomposition of Queries for Question Answering from Tables. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Aug 2024, Bangkok, Thailand. pp.10471--10485. ⟨hal-04677411⟩
  • Guglielmo Faggioli, Thibault Formal, Simon Lupart, Stefano Marchesin, Stephane Clinchant, et al.. Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities. ICTIR '23: The 2023 ACM SIGIR International Conference on the Theory of Information Retrieval, Jul 2023, Taipei Taiwan, Taiwan. pp.51-63, ⟨10.1145/3578337.3605142⟩. ⟨hal-04290247⟩
  • Laura Nguyen, Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano. LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization. The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), May 2023, Dubrovnik, Croatia. ⟨hal-03992015⟩
  • Laura Nguyen, Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano. LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, May 2023, Dubrovnik, Croatia. pp.636-651, ⟨10.18653/v1/2023.eacl-main.46⟩. ⟨hal-04287851⟩
  • Nam Le Hai, Thomas Gerald, Thibault Formal, Jian-Yun Nie, Benjamin Piwowarski, et al.. CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval. 45th European Conference on Information Retrieval (ECIR 2023), Apr 2023, Dublin, Ireland. pp.537-552, ⟨10.1007/978-3-031-28244-7_34⟩. ⟨hal-04168526⟩
  • Guglielmo Faggioli, Thibault Formal, Stefano Marchesin, Stéphane Clinchant, Nicola Ferro, et al.. Query Performance Prediction for Neural IR: Are We There Yet?. European Conference on Information Retrieval, Apr 2023, Dublin (Ireland), Ireland. pp.232-248, ⟨10.1007/978-3-031-28244-7_15⟩. ⟨hal-04290230⟩
  • Yuxuan Zong, Benjamin Piwowarski. XPMIR: Une bibliothèque modulaire pour l'apprentissage d'ordonnancement et les expériences de RI neuronale. 18e Conférence en Recherche d'Information et Applications -- 16e Rencontres Jeunes Chercheurs en RI -- 30e Conférence sur le Traitement Automatique des Langues Naturelles -- 25e Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues, 2023, Paris, France. pp.222-233. ⟨hal-04131554⟩
  • Nam Le Hai, Thomas Gerald, Thibault Formal, Jian-Yun Nie, Benjamin Piwowarksi, et al.. CoSPLADE : Adaptation d'un Modèle Neuronal Basé sur des Représentations Parcimonieuses pour la Recherche d'Information Conversationnelle. 18e Conférence en Recherche d'Information et Applications -- 16e Rencontres Jeunes Chercheurs en RI -- 30e Conférence sur le Traitement Automatique des Langues Naturelles -- 25e Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues, 2023, Paris, France. pp.207-212. ⟨hal-04131548⟩
  • Agnès Mustar, Sylvain Lamprier, Benjamin Piwowarski. IRnator: A Framework for Discovering Users Needs from Sets of Suggestions. ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Aug 2022, Madrid Spain, France. pp.138-143, ⟨10.1145/3539813.3545152⟩. ⟨hal-03923274⟩
  • Thibault Formal, Carlos Lassance, Benjamin Piwowarski, Stéphane Clinchant. From Distillation to Hard Negative Sampling. SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Jul 2022, Madrid, Spain. pp.2353-2359, ⟨10.1145/3477495.3531857⟩. ⟨hal-03736109⟩
  • Antoine Chaffin, Thomas Scialom, Sylvain Lamprier, Jacopo Staiano, Benjamin Piwowarski, et al.. Which Discriminator for Cooperative Text Generation?. SIGIR 2022 - 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Jul 2022, Madrid, Spain. pp.2360-2365, ⟨10.1145/3477495.3531858⟩. ⟨hal-03718429⟩
  • Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant. Match Your Words! A Study of Lexical Matching in Neural Information Retrieval. European Conference on Information Retrieval, Apr 2022, Stavenger, Norway. pp.120-127, ⟨10.1007/978-3-030-99739-7_14⟩. ⟨hal-03736112⟩
  • Benjamin Piwowarski, Florian Boudin, Gaël Dias, Jean-Pierre Chevallet, Jose G. Moreno, et al.. Actes de la 3ème journée : Technologies du langage humain et accès interactif à l'information (avril 2022). 3ème journée : Technologies du langage humain et accès interactif à l'information (2022), pp.1-36, 2022. ⟨hal-03946132⟩
  • Sylvain Lamprier, Thomas Scialom, Antoine Chaffin, Vincent Claveau, Ewa Kijak, et al.. Generative Cooperative Networks for Natural Language Generation. ICML 2022 - 39th International Conference on Machine Learning, Jul 2022, Baltimore, MD, United States. pp.11891--11905. ⟨hal-03736116⟩
  • Agnès Mustar, Sylvain Lamprier, Benjamin Piwowarski. On the Study of Transformers for Query Suggestion. ACM Transactions on Information Systems, 2022, 40 (1), pp.18. ⟨10.1145/3470562⟩. ⟨hal-03541893⟩
  • Antoine Chaffin, Thomas Scialom, Sylvain Lamprier, Jacopo Staiano, Benjamin Piwowarski, et al.. Choisir le bon co-équipier pour la génération coopérative de texte. TALN 2022 - 29e conférence sur le Traitement Automatique des Langues Naturelles, Jun 2022, Avignon, France. pp.12-26. ⟨hal-03701506⟩
  • Laura Nguyen, Thomas Scialom, Jacopo Staiano, Benjamin Piwowarski. Skim-Attention: Learning to Focus via Document Layout. Findings of the 2021 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2021), Nov 2021, Punta Cana, Dominican Republic. ⟨hal-03333889⟩
  • Thomas Scialom, Paul-Alexis Dray, Patrick Gallinari, Sylvain Lamprier, Benjamin Piwowarski, et al.. QuestEval: Summarization Asks for Fact-based Evaluation. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Nov 2021, Punta Cana (en ligne), Dominican Republic. pp.6594-6604, ⟨10.18653/v1/2021.emnlp-main.529⟩. ⟨hal-03541895⟩