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Intuitive Robot Programming, C. Blanc, Julius Jankowski, A. Sonderegger, Sylvain Calinon and S. Dégallier Rochat, in: Ergonomics in Robotics: Advances and Innovations, Springer, 2025
Identifying Privacy Personas, Olena Hrynenko and Andrea Cavallaro, in: Proceedings on Privacy Enhancing Technologies, 2025
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Tactile Ergodic Coverage on Curved Surfaces, Cem Bilaloglu, Tobias Löw and Sylvain Calinon, in: IEEE Transactions on Robotics (T-RO), 2024
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Toward Semantic Gaze Target Detection, Samy Tafasca, Anshul Gupta, Victor Bros and Jean-Marc Odobez, in: 38th Conf. on Neural Information Processing System, 2024
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Reasoning with Natural Language Explanations, Marco Valentino and Andre Freitas, in: In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts, 2024
SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials, Mael Jullien, Marco Valentino and Andre Freitas, in: In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), 2024
An LLM-based Knowledge Synthesis and Scientific Reasoning Framework for Biomedical Discovery, Oskar Wysocki, Magdalena Wysocka, Danilo Carvalho, Alex Bogatu, Danilo Gusicuma, Maxime Delmas, Harriet Unsworth and Andre Freitas, in: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, ACL, Bangkok, Thailand, pages 355-364, 2024
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Multi-Operational Mathematical Derivations in Latent Space, Marco Valentino, Jordan Meadows, Lan Zhang and Andre Freitas, in: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Inference to the Best Explanation in Large Language Models, Dhairya Dalal, Marco Valentino, Andre Freitas and Paul Buitelaar, in: In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024
Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving, Xin Quan, Marco Valentino, Louise A Dennis and Andre Freitas, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models, Andre Freitas and Leonardo Ranaldi, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Aligning Large and Small Language Models via Chain-of-Thought Reasoning, Leonardo Ranaldi and Andre Freitas, in: Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
SDFR: Synthetic Data for Face Recognition Competition, Hatef Otroshi Shahreza, Christophe Ecabert, Anjith George, Alexander Unnervik and Sébastien Marcel, in: IEEE FG 2024 : 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024
Heterogeneous Face Recognition with Prepended Domain Transformers, Anjith George and Sébastien Marcel, in: Face Recognition Across the Imaging Spectrum, Springer, 2024
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Analysing the potential of open hotel review databases for IEQ assessment: A text mining approach, Giulia Lamberti, Roberto Boghetti, Fabio Fantozzi, Francesco Leccese and Giacomo Salvadori, in: Analysing the potential of open hotel review databases for IEQ assessment: A text mining approach:1-19, 2024
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A Minimum-Jerk Approach to Handle Singularities in Virtual Fixtures, G. Braglia, Sylvain Calinon and L. Biagiotti, in: IEEE Robotics and Automation Letters (RA-L), 9(11):10256-10263, 2024
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OptoMechanical Modulation Tomography for Ungated Compressive Cardiac Light Sheet Microscopy, François Marelli and Michael Liebling, in: 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, pages 1--4, 2024
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OptoMechanical Modulation Tomography for Ungated Compressive Cardiac Light Sheet Microscopy, François Marelli and Michael Liebling, in: 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, pages 1--4, 2024
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Parametric point spread function estimation for thermal imaging systems using easy-to-manufacture random pattern targets, Florian Piras, Edouard De Moura Presa, Peter Wellig and Michael Liebling, in: Target and Background Signatures X: Traditional Methods and Artificial Intelligence, pages 1319905-(1-9), SPIE, 2024
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Are there identifiable structural parts in the sentence embedding whole?, Vivi Nastase and Paola Merlo, in: Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2024
Tracking linguistic information in transformer-based sentence embeddings through targeted sparsification, Vivi Nastase and Paola Merlo, in: Proceedings of the 9th Workshop on Representation Learning for NLP, 2024
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BLM-It - Blackbird Language Matrices for Italian: A CALAMITA Challenge, Chunyang Jiang, Giuseppe Samo, Vivi Nastase and Paola Merlo, in: Proceedings of the 10th Italian Conference on Computational Linguistics, 2024
Can We Learn to Select the Right Algorithm for OOD Generalization?, Liangze Jiang and Damien Teney, in: Out Of Distribution Generalization in Computer Vision, Workshop at ECCV, 2024
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