• 
  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⟩
• 
  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⟩
• 
  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⟩
• 
  Folco Bertini Baldassini, Mustafa Shukor, Matthieu Cord, Laure Soulier, Benjamin Piwowarski. What Makes Multimodal In-Context Learning Work?. 2024. ⟨hal-04788197⟩
• 
  Raphaël Mouravieff, Benjamin Piwowarski, Sylvain Lamprier. Training Table Question Answering via SQL Query Decomposition. 2024. ⟨hal-04788185⟩
• 
  Yannis Karmim, Marc Lafon, Raphaël Fournier S'Niehotta, Nicolas Thome. Supra-Laplacian Encoding for Transformer on Dynamic Graphs. The Thirty-eighth Annual Conference on Neural Information Processing Systems, Dec 2024, Vancouver (CA), Canada. ⟨hal-04785441⟩
• 
  Etienne Le Naour, Louis Serrano, Léon Migus, Yuan Yin, Ghislain Agoua, et al.. Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations. Transactions on Machine Learning Research Journal, 2024, ⟨10.48550/arXiv.2306.05880⟩. ⟨hal-04759780⟩
• 
  Bérengère Podvin, L. Soucasse, F. Yvon. Analysis of Rayleigh-Bénard convection using latent Dirichlet allocation. Physical Review Fluids, 2024, 9 (6), pp.063502. ⟨10.1103/PhysRevFluids.9.063502⟩. ⟨hal-04729077⟩
• 
  Louis Serrano, Jean-Noël Vittaut, Patrick Gallinari. Operator Learning on Free-Form Geometries. ICLR 2023 Workshop on Physics for Machine Learning, May 2023, Kigali, Rwanda. ⟨hal-04702425⟩
• 
  Tanguy Herserant, Tristan Luiggi, Laure Soulier, Vincent Guigue. MeLaSSS : Métrique dans l’espace latent sur les phrases simplifiées. Atelier sur l'évaluation des modèles génératifs (LLM) et challence d'extraction d'information few-shot, Institut des sciences informatiques et de leurs interactions - CNRS Sciences informatiques [INS2I-CNRS], Jul 2024, Toulouse, France. ⟨hal-04678042⟩
• 
  Rachel Bawden, Hatim Bourfoune, Bertrand Cabot, Nathan Cassereau, Pierre Cornette, et al.. Evaluer BLOOM en français. Atelier sur l'évaluation des modèles génératifs (LLM) et challenge d'extraction d'information few-shot, Institut des sciences informatiques et de leurs interactions - CNRS Sciences informatiques [INS2I-CNRS], Jul 2024, Toulouse, France. ⟨hal-04678039⟩
• 
  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⟩
• 
  Amir Hossein Kargaran, François Yvon, Hinrich Schütze. MaskLID: Code-Switching Language Identification through Iterative Masking. 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Association for Computational Linguistics, Aug 2024, Bangkok, Thailand. pp.459-469. ⟨hal-04670790⟩
• 
  Maxime Bouthors, Josep Crego, François Yvon. Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison. 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024), Association for Computational Linguistics, Jun 2024, Mexico, Mexico. pp.3022-3039, ⟨10.18653/v1/2024.findings-naacl.190⟩. ⟨hal-04670614⟩
• 
  Ziqian Peng, Rachel Bawden, François Yvon. Handling Very Long Contexts in Neural Machine Translation: a Survey. Livrable D3-2.1, Projet ANR MaTOS. 2024, pp.50. ⟨hal-04652584v2⟩
• 
  Yannis Karmim, Leshanshui Yang, Raphaël Fournier-S'Niehotta, Clément Chatelain, Sébastien Adam, et al.. Temporal receptive field in dynamic graph learning: A comprehensive analysis. MLG Workshop at ECML-PKDD, Sep 2024, Vilnius (Lituanie), France. ⟨hal-04647025v2⟩
• 
  Yannis Karmim, Elias Ramzi, Raphaël Fournier-S 'Niehotta, Nicolas Thome. ITEM: Improving Training and Evaluation of Message-Passing based GNNs for top-k recommendation. Transactions on Machine Learning Research Journal, In press. ⟨hal-04645098⟩
• 
  Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Audebert, Nicolas Thome. GalLoP: Learning Global and Local Prompts for Vision-Language Models. The 18th European Conference on Computer Vision ECCV 2024, Sep 2024, Milan, Italy. ⟨10.48550/arXiv.2407.01400⟩. ⟨hal-04635800⟩
• 
  Paul Lerner, François Yvon. Vers la traduction automatique des néologismes scientifiques. 35èmes Journées d'Études sur la Parole (JEP 2024) 31ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN 2024) 26ème Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RECITAL 2024), Jul 2024, Toulouse, France. pp.245-261. ⟨hal-04623021⟩

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