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Deep Clustering for Data Cleaning and Integration, Hafiz Rauf, Andre Freitas and Norman Paton, in: 27th International Conference on Extending Database Technology, 2024
Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks, Yingji Zhang, Danilo Carvalho and Andre Freitas, in: The 62nd Annual Meeting of the Association for Computational Linguistics, 2024
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series, Giangiacomo Mercatali, Andre Freitas and Jie Chen, in: Thirty-Eighth Annual Conference on Neural Information Processing Systems, 2024
Diffusion Twigs with Loop Guidance for Conditional Graph Generation, Giangiacomo Mercatali, Yogesh Verma, Andre Freitas and Vikas Garg, in: Thirty-Eighth Annual Conference on Neural Information Processing Systems, 2024
Consistent Autoformalization for Constructing Mathematical Libraries, Lan Zhang, Xin Quan and Andre Freitas, in: The 2024 Conference on Empirical Methods in Natural Language Processing, 2024
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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Building Structured Synthetic Datasets: The Case of Blackbird Language Matrices (BLMs), Paola Merlo, Giuseppe Samo, Vivi Nastase and Chunyang Jiang, in: Proceedings of the 9th Italian Conference on Computational Linguistics, 2023
Blackbird Language Matrices Tasks for Generalization, Paola Merlo, Chunyang Jiang, Giuseppe Samo and Vivi Nastase, in: Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP, ACL, 2023
BLM-AgrF: A New French Benchmark to Investigate Generalization of Agreement in Neural Networks., Aixiu An, Chunyang Jiang, Maria A. Rodriguez, Vivi Nastase and Paola Merlo, in: Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
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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Intuitive Robot Programming, C. Blanc, Julius Jankowski, A. Sonderegger, Sylvain Calinon and S. Dégallier Rochat, in: Ergonomics in Robotics: Advances and Innovations, Springer, 2025
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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