Pierre Colombo

According to our database, Pierre Colombo authored at least 53 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Pseudo-Metric between Probability Distributions based on Depth-Trimmed Regions.

Guillaume Staerman, Pavlo Mozharovskyi, Pierre Colombo, Stéphan Clémençon, Florence d'Alché-Buc

Trans. Mach. Learn. Res., 2024

xcomet : Transparent Machine Translation Evaluation through Fine-grained Error Detection.

Nuno Miguel Guerreiro, Ricardo Rei, Daan van Stigt, Luísa Coheur, Pierre Colombo, André F. T. Martins

Trans. Assoc. Comput. Linguistics, 2024

EuroLLM: Multilingual Language Models for Europe.

Pedro Henrique Martins, Patrick Fernandes, João Alves, Nuno Miguel Guerreiro, Ricardo Rei, Duarte M. Alves, José Pombal, M. Amin Farajian, Manuel Faysse, Mateusz Klimaszewski, Pierre Colombo, Barry Haddow, José G. C. de Souza, Alexandra Birch, André F. T. Martins

CoRR, 2024

SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain.

Pierre Colombo, Telmo Pires, Malik Boudiaf, Rui Melo, Dominic Culver, Sofia Morgado, Etienne Malaboeuf, Gabriel Hautreux, Johanne Charpentier, Michael Desa

CoRR, 2024

ColPali: Efficient Document Retrieval with Vision Language Models.

Manuel Faysse, Hugues Sibille, Tony Wu, Bilel Omrani, Gautier Viaud, Céline Hudelot, Pierre Colombo

CoRR, 2024

SaulLM-7B: A pioneering Large Language Model for Law.

Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, Dominic Culver, Rui Melo, Caio Corro, André F. T. Martins, Fabrizio Esposito, Vera Lúcia Raposo, Sofia Morgado, Michael Desa

CoRR, 2024

Tower: An Open Multilingual Large Language Model for Translation-Related Tasks.

Duarte M. Alves, José Pombal, Nuno Miguel Guerreiro, Pedro Henrique Martins, João Alves, M. Amin Farajian, Ben Peters, Ricardo Rei, Patrick Fernandes, Sweta Agrawal, Pierre Colombo, José G. C. de Souza, André F. T. Martins

CoRR, 2024

Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation.

Anas Himmi, Guillaume Staerman, Marine Picot, Pierre Colombo, Nuno Miguel Guerreiro

CoRR, 2024

Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism.

Hippolyte Gisserot-Boukhlef, Manuel Faysse, Emmanuel Malherbe, Céline Hudelot, Pierre Colombo

CoRR, 2024

Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs.

Nicolas Boizard, Kevin El Haddad, Céline Hudelot, Pierre Colombo

CoRR, 2024

CroissantLLM: A Truly Bilingual French-English Language Model.

Manuel Faysse, Patrick Fernandes, Nuno Miguel Guerreiro, António Loison, Duarte M. Alves, Caio F. Corro, Nicolas Boizard, João Alves, Ricardo Rei, Pedro Henrique Martins, Antoni Bigata Casademunt, François Yvon, André F. T. Martins, Gautier Viaud, Céline Hudelot, Pierre Colombo

CoRR, 2024

Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis.

Hippolyte Gisserot-Boukhlef, Ricardo Rei, Emmanuel Malherbe, Céline Hudelot, Pierre Colombo, Nuno Miguel Guerreiro

Proceedings of the Ninth Conference on Machine Translation, 2024

Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation.

Anas Himmi, Guillaume Staerman, Marine Picot, Pierre Colombo, Nuno Guerreiro

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks.

Anas Himmi, Ekhine Irurozki, Nathan Noiry, Stéphan Clémençon, Pierre Colombo

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection.

Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Câmara Gomes, Jackie C. K. Cheung, Pablo Piantanida, Pierre Colombo

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Halfspace-Mass Depth-Based Method for Adversarial Attack Detection.

Marine Picot, Federica Granese, Guillaume Staerman, Marco Romanelli, Francisco Messina, Pablo Piantanida, Pierre Colombo

Trans. Mach. Learn. Res., 2023

Hallucinations in Large Multilingual Translation Models.

Nuno Miguel Guerreiro, Duarte M. Alves, Jonas Waldendorf, Barry Haddow, Alexandra Birch, Pierre Colombo, André F. T. Martins

Trans. Assoc. Comput. Linguistics, 2023

Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models.

Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Victor Storchan, Myriam Tami, Ismail Ben Ayed, Céline Hudelot, Pablo Piantanida

CoRR, 2023

A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection.

Eduardo Dadalto Câmara Gomes, Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida

CoRR, 2023

The Glass Ceiling of Automatic Evaluation in Natural Language Generation.

Pierre Colombo, Maxime Peyrard, Nathan Noiry, Robert West, Pablo Piantanida

Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification.

Pierre Colombo, Nathan Noiry, Guillaume Staerman, Pablo Piantanida

Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications.

Manuel Faysse, Gautier Viaud, Céline Hudelot, Pierre Colombo

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data.

Maxime Darrin, Pablo Piantanida, Pierre Colombo

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Toward Stronger Textual Attack Detectors.

Pierre Colombo, Marine Picot, Nathan Noiry, Guillaume Staerman, Pablo Piantanida

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models.

Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Myriam Tami, Victor Storchan, Ismail Ben Ayed, Pablo Piantanida

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning.

Duarte M. Alves, Nuno Miguel Guerreiro, João Alves, José Pombal, Ricardo Rei, José Guilherme Camargo de Souza, Pierre Colombo, André F. T. Martins

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation.

Nuno Miguel Guerreiro, Pierre Colombo, Pablo Piantanida, André F. T. Martins

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution Data.

Maxime Darrin, Pablo Piantanida, Pierre Colombo

CoRR, 2022

Beyond Mahalanobis-Based Scores for Textual OOD Detection.

Pierre Colombo, Eduardo Dadalto Câmara Gomes, Guillaume Staerman, Nathan Noiry, Pablo Piantanida

CoRR, 2022

KNIFE: Kernelized-Neural Differential Entropy Estimation.

Georg Pichler, Pierre Colombo, Malik Boudiaf, Günther Koliander, Pablo Piantanida

CoRR, 2022

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset.

Hugo Laurençon, Lucile Saulnier, Thomas Wang, Christopher Akiki, Albert Villanova del Moral, Teven Le Scao, Leandro von Werra, Chenghao Mou, Eduardo González Ponferrada, Huu Nguyen, Jörg Frohberg, Mario Sasko, Quentin Lhoest, Angelina McMillan-Major, Gérard Dupont, Stella Biderman, Anna Rogers, Loubna Ben Allal, Francesco De Toni, Giada Pistilli, Olivier Nguyen, Somaieh Nikpoor, Maraim Masoud, Pierre Colombo, Javier de la Rosa, Paulo Villegas, Tristan Thrush, Shayne Longpre, Sebastian Nagel, Leon Weber, Manuel Muñoz, Jian Zhu, Daniel van Strien, Zaid Alyafeai, Khalid Almubarak, Minh Chien Vu, Itziar Gonzalez-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suarez, Aaron Gokaslan, Shamik Bose, David Ifeoluwa Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilic, Margaret Mitchell, Alexandra Sasha Luccioni, Yacine Jernite

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

What are the best Systems? New Perspectives on NLP Benchmarking.

Pierre Colombo, Nathan Noiry, Ekhine Irurozki, Stéphan Clémençon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Beyond Mahalanobis Distance for Textual OOD Detection.

Pierre Colombo, Eduardo Dadalto Câmara Gomes, Guillaume Staerman, Nathan Noiry, Pablo Piantanida

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Differential Entropy Estimator for Training Neural Networks.

Georg Pichler, Pierre Jean A. Colombo, Malik Boudiaf, Günther Koliander, Pablo Piantanida

Proceedings of the International Conference on Machine Learning, 2022

Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation.

Cyril Chhun, Pierre Colombo, Fabian M. Suchanek, Chloé Clavel

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Learning Disentangled Textual Representations via Statistical Measures of Similarity.

Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation.

Pierre Jean A. Colombo, Chloé Clavel, Pablo Piantanida

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Apprendre à représenter et à générer du texte en utilisant des mesures d'information. (Learning to represent and generate text using information measures).

Pierre Colombo

PhD thesis, 2021

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.

Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, K. V. Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang

CoRR, 2021

Code-switched inspired losses for generic spoken dialog representations.

Emile Chapuis, Pierre Colombo, Matthieu Labeau, Chloé Clavel

CoRR, 2021

Beam Search with Bidirectional Strategies for Neural Response Generation.

Pierre Colombo, Chloé Clavel, Chouchang (Jack) Yang, Giovanna Varni

Proceedings of the 4th International Conference on Natural Language and Speech Processing, 2021

Automatic Text Evaluation through the Lens of Wasserstein Barycenters.

Pierre Colombo, Guillaume Staerman, Chloé Clavel, Pablo Piantanida

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Code-switched inspired losses for spoken dialog representations.

Pierre Colombo, Emile Chapuis, Matthieu Labeau, Chloé Clavel

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improving Multimodal fusion via Mutual Dependency Maximisation.

Pierre Colombo, Emile Chapuis, Matthieu Labeau, Chloé Clavel

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations.

Pierre Colombo, Pablo Piantanida, Chloé Clavel

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Guider l'attention dans les modeles de sequence a sequence pour la prediction des actes de dialogue.

Pierre Colombo, Emile Chapuis, Matteo Manica, Emmanuel Vignon, Giovanna Varni, Chloé Clavel

CoRR, 2020

Heavy-tailed Representations, Text Polarity Classification & Data Augmentation.

Hamid Jalalzai, Pierre Colombo, Chloé Clavel, Éric Gaussier, Giovanna Varni, Emmanuel Vignon, Anne Sabourin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The importance of fillers for text representations of speech transcripts.

Tanvi Dinkar, Pierre Colombo, Matthieu Labeau, Chloé Clavel

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Hierarchical Pre-training for Sequence Labelling in Spoken Dialog.

Emile Chapuis, Pierre Colombo, Matteo Manica, Matthieu Labeau, Chloé Clavel

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Guiding Attention in Sequence-to-Sequence Models for Dialogue Act Prediction.

Pierre Colombo, Emile Chapuis, Matteo Manica, Emmanuel Vignon, Giovanna Varni, Chloé Clavel

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Affect-Driven Dialog Generation.

Pierre Colombo, Wojciech Witon, Ashutosh Modi, James Kennedy, Mubbasir Kapadia

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining.

Alexandre Garcia, Pierre Colombo, Florence d'Alché-Buc, Slim Essid, Chloé Clavel

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Disney at IEST 2018: Predicting Emotions using an Ensemble.

Wojciech Witon, Pierre Colombo, Ashutosh Modi, Mubbasir Kapadia

Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018