Accepted papers at AI major conferences

2024 (Vancouver)

• "Learning Pattern-Based Extractors from Natural Language and Knowledge Graphs: Applying Large Language Models to Wikipedia and Linked Open Data" authored by Célian Ringwald (AAAI Doctoral Consortium Track)
• "Well-Written Knowledge Graphs: Most Effective RDF Syntaxes for Triple Linearization in End-to-End Extraction of Relations from Texts" co-authored by Célian Ringwald, Fabien Gandon, Catherine Faron, Franck Michel, and Hanna Abi Akl (Student Abstract)

2025 (Madrid)

• “No Such Thing as Free Brain Time: For a Pigouvian Tax on Attention Capture” by Hamza Belgroun, Fabien Gandon, and Franck Michel

2024 (Seattle)

• "PoNQ: a Neural QEM-based Mesh Representation", co-authored by Nissim Maruani,  Maks Ovsjanikov, Pierre Alliez,  Mathieu Desbrun

2026 (Rabat)

• "CacheNotes: Task-Aware Key-Value Cache Compression for Reasoning-Intensive Knowledge Tasks" co-authored by Giulio Corallo, Orion Weller, Fabio Petroni, Paolo Papotti

2025 (Suzhou)

• “SQUAB: Evaluating LLM's robustness to Ambiguous and Unanswerable Questions in Semantic Parsing” co-authored by Luca Cagliero, Paolo Papotti, and Simone Papicchio
• “Refining Attention for Explainable and Noise-Robust Fact-Checking with Transformers” co-authored by Jean-Flavien Bussotti and Paolo Papotti

2025 (Portorož)

• "Kastor: Fine-tuned Small Language Models for Shape-based Active Relation Extraction" co-authored by Fabien Gandon, Célian Ringwald, Catherine Faron, Franck Michel, and Hanna Abi Akl

2025 (Copenhagen)

• “RelationalFactQA: A Benchmark for Evaluating Tabular Fact Retrieval from Large Language Models” co-authored by Dario Satriani, Enzo Veltri, Donatello Santoro, and Paolo Papott

2025 (Dallas)

• "Frugal AI for Automated Cardiac Defibrillation: Balancing Performance & Hardware Constraints" co-authored by Rafael Silva, Caroline Stehlé, Guillaume Pétriat, Pierre-Henri Cadet, Thierry Tibi, and Maxime Sermesant

2024 (Vienna)

• "PASOA- PArticle baSed Bayesian Optimal Adaptive design" co-authored by Jacopo Iollo, Christophe Heinkelé, Pierre Alliez, and Florence Forbes (poster session)
• "Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm" co-authored by Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Kevin Scaman, and Giovanni Neglia (poster session)
• "Non-parametric online change point detection on Riemannian manifolds" co-authored by Xiuheng Wang, Ricardo Augusto Borsoi, and Cédric Richard (poster session)

2025 (Athens)

• “Cryptarithmetic Playtime” co-authored by Arnaud Malapert, Marie Pelleau, Margaux Schmied, and Davide Fissore

2024 (Jeju)

• "Markov Constraint as Large Language Model Surrogate" co-authored by Alexandre Bonlarron and Jean-Charles Régin
• "Intertwining CP and NLP: The Generation of Unreasonably Constrained Sentences" co-authored by Alexandre Bonlarron and Jean-Charles Régin

2025 (Dayton)

• "Q2Forge: Minting Competency Questions and SPARQL Queries for Question-Answering Over Knowledge Graphs" co-authored by Yousouf Taghzouti, Franck Michel, Tao Jiang, Louis-Félix Nothias, and Fabien Gandon
• "Overcoming the Generalization Limits of SLM Finetuning for Shape-Based Extraction of Datatype and Object Properties" co-authored by Célian Ringwald, Fabien Gandon, Catherine Faron, Franck Michel, and Hanna Abi Akl

2025 (Daejeon)

• “One-shot active learning for vessel segmentation” co-authored by Daniele Falcetta, Hava Chaptoukaev, Francesco Galati, and Maria A. Zuluaga
• “VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation” co-authored by Daniele Falcetta, Vincenzo Marciano, Kaiyuan Yang, Jon Cleary, Loïc Legris, Massimiliano Domenico Rizzaro, Ioannis Pitsiorlas, Hava Chaptoukaev, Benjamin Lemasson, Bjoern Menze, and Maria A. Zuluag

2025 (San Diego)

• “Streaming Federated Learning with Markovian Data” co-authored by Huỳnh Tấn Khiêm, Malcolm Egan, Giovanni Neglia, and Jean-Marie Gorce

2024 (Vancouver)

• "Improving Neural Network Surface Processing with Principal Curvatures" co-authored by Josquin Harrison, James Benn, and Maxime Sermesant (poster session)
• "On the Sparsity of the Strong Lottery Ticket Hypothesis" co-authored by Emanuele Natale, Davide Ferre', Giordano Giambartolomei, Frédéric Giroire, and Frederik Mallmann-Trenn (poster session)
• "Derivatives of Stochastic Gradient Descent in parametric optimization" co-authored by Franck Iutzeler, Edouard Pauwels, and Samuel Vaiter (poster session)

2025 (Nara)

• “User Interface and Agent Interface for Online Generation of Knowledge Graph’s Competency Questions and Question-Query Training Sets” co-authored by Yousouf Taghzouti, Franck Michel, Tao Jiang, Louis-Félix Nothias, Fabien Gandon

2025 (Berlin)

• “Logical and Physical Optimizations for SQL Query Execution over Large Language Models” co-authored by Dario Satriani, Enzo Veltri, Donatello Santoro, Sara Rosato, Simone Varriale, and Paolo Papotti