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Marco Valentino
First name(s): Marco
Last name(s): Valentino
Institute: Idiap Research Institute

Publications of Marco Valentino sorted by first author

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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

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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
SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data, Mael Jullien, Marco Valentino, Hannah Frost, Paul O'Reagan, Donal Landers and Andre Freitas, in: Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), Association for Computational Linguistics, 2023
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NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports, Mael Jullien, Marco Valentino, Hannah Frost, Paul O'Reagan, Donal Landers and Andre Freitas, in: Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), 2023

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A Symbolic Framework for Systematic Evaluation of Mathematical Reasoning with Transformers, Jordan Meadows, Marco Valentino, Damien Teney and Andre Freitas, in: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024
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Does My Representation Capture X? Probe-Ably, Deborah Mendes, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino and Andre Freitas, in: 59th Annual Meeting of the Association for Computational Linguistics (Demonstration track), 2021
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Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement, Xin Quan, Marco Valentino, Louise A Dennis and Andre Freitas, in: The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), 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

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Decomposing Natural Logic Inferences for Neural NLI, Julia Rozanova, Deborah Mendes, Mokanarangan Thayaparan, Marco Valentino and Andre Freitas, in: BlackBoxNLP: Workshop on analyzing and interpreting neural networks for NLP, 2022
On Interventional Probing in High Dimensions: An NLI Case Study, Julia Rozanova, Marco Valentino, Lucas Cordeiro and Andre Freitas, in: Findings of the 17th European Chapter of the Association for Computational Linguistics, 2023
Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models, Julia Rozanova, Marco Valentino and Andre Freitas, in: The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, 2024

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A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference, Mokanarangan Thayaparan, Marco Valentino and Andre Freitas, in: The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, 2024
Explainable Inference Over Grounding-Abstract Chains for Science Questions, Mokanarangan Thayaparan, Marco Valentino and Andre Freitas, in: 59th Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2021
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Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions, Marco Valentino, Danilo Carvalho and Andre Freitas, in: The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), 2024
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
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
TextGraphs 2022 Shared Task on Natural Language Premise Selection, Marco Valentino, Deborah Mendes, Mokanarangan Thayaparan, Andre Freitas and Dmitry Ustalov, in: Proceedings of TextGraphs-16: Graph-based Methods for Natural Language Processing, 2022
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Case-Based Abductive Natural Language Inference, Marco Valentino, Mokanarangan Thayaparan and Andre Freitas, in: Proceedings of the 29th International Conference on Computational Linguistics, 2022
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Explainable Natural Language Reasoning via Conceptual Unification, Marco Valentino, Mokanarangan Thayaparan and Andre Freitas, in: 16th conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
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Unification-based Reconstruction of Multi-hop Explanations for Science Questions, Marco Valentino, Mokanarangan Thayaparan and Andre Freitas, in: 16th conference of the European Chapter of the Association for Computational Linguistics, 2021
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Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders, Yingji Zhang, Danilo Carvalho, Marco Valentino, Ian Pratt-Hartmann and Andre Freitas, in: Findings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), 2024
Encoding Explanatory Knowledge for Zero-shot Science Question Answering, Zili Zhou, Marco Valentino, Donal Landers and Andre Freitas, in: 14th International Conference on Computational Semantics, 2021
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