Pierre Colombo

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 70

Top Topics

Multimodal Fusion

Machine Translation

Automatic Evaluation

Top Venues

Publications

Anas Himmi, Guillaume Staerman, Marine Picot, Pierre Colombo, Nuno Miguel Guerreiro
Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation. CoRR (2024)
Manuel Faysse, Hugues Sibille, Tony Wu, Bilel Omrani, Gautier Viaud, Céline Hudelot, Pierre Colombo
ColPali: Efficient Document Retrieval with Vision Language Models. CoRR (2024)
Nicolas Boizard, Kevin El Haddad, Céline Hudelot, Pierre Colombo
Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs. CoRR (2024)
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
Tower: An Open Multilingual Large Language Model for Translation-Related Tasks. CoRR (2024)
Manuel Faysse, Patrick Fernandes, Nuno M. Guerreiro, António Loison, Duarte M. Alves, Caio 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
CroissantLLM: A Truly Bilingual French-English Language Model. CoRR (2024)
Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Câmara Gomes, Jackie C. K. Cheung, Pablo Piantanida, Pierre Colombo
Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection. AAAI (2024)
Hippolyte Gisserot-Boukhlef, Manuel Faysse, Emmanuel Malherbe, Céline Hudelot, Pierre Colombo
Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism. CoRR (2024)
Guillaume Staerman, Pavlo Mozharovskyi, Pierre Colombo, Stéphan Clémençon, Florence d'Alché-Buc
A Pseudo-Metric between Probability Distributions based on Depth-Trimmed Regions. Trans. Mach. Learn. Res. 2024 (2024)
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
SaulLM-7B: A pioneering Large Language Model for Law. CoRR (2024)
Pierre Colombo, Telmo Pires, Malik Boudiaf, Rui Melo, Dominic Culver, Sofia Morgado, Etienne Malaboeuf, Gabriel Hautreux, Johanne Charpentier, Michael Desa
SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain. CoRR (2024)
Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Câmara Gomes, Jackie CK Cheung, Pablo Piantanida, Pierre Colombo
Unsupervised Layer-wise Score Aggregation for Textual OOD Detection. CoRR (2023)
Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Myriam Tami, Victor Storchan, Ismail Ben Ayed, Pablo Piantanida
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. EMNLP (2023)
Manuel Faysse, Gautier Viaud, Céline Hudelot, Pierre Colombo
Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications. EMNLP (2023)
Duarte Alves, Nuno Miguel Guerreiro, João Alves, José Pombal, Ricardo Rei, José Guilherme Camargo de Souza, Pierre Colombo, André Martins
Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning. EMNLP (Findings) (2023)
Pierre Colombo, Maxime Peyrard, Nathan Noiry, Robert West, Pablo Piantanida
The Glass Ceiling of Automatic Evaluation in Natural Language Generation. IJCNLP (Findings) (2023)
Eduardo Dadalto Câmara Gomes, Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection. CoRR (2023)
Manuel Faysse, Gautier Viaud, Céline Hudelot, Pierre Colombo
Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications. CoRR (2023)
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, Sasha Luccioni, Yacine Jernite
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. CoRR (2023)
Anas Himmi, Ekhine Irurozki, Nathan Noiry, Stéphan Clémençon, Pierre Colombo
Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks. CoRR (2023)
Duarte M. Alves, Nuno Miguel Guerreiro, João Alves, José Pombal, Ricardo Rei, José G. C. de Souza, Pierre Colombo, André F. T. Martins
Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning. CoRR (2023)
Pierre Colombo, Nathan Noiry, Guillaume Staerman, Pablo Piantanida
A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification. IJCNLP (Findings) (2023)
Maxime Darrin, Pablo Piantanida, Pierre Colombo
RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data. EMNLP (2023)
Nuno Miguel Guerreiro, Pierre Colombo, Pablo Piantanida, André F. T. Martins
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation. ACL (1) (2023)
Pierre Colombo, Marine Picot, Nathan Noiry, Guillaume Staerman, Pablo Piantanida
Toward Stronger Textual Attack Detectors. EMNLP (Findings) (2023)
Marine Picot, Federica Granese, Guillaume Staerman, Marco Romanelli, Francisco Messina, Pablo Piantanida, Pierre Colombo
A Halfspace-Mass Depth-Based Method for Adversarial Attack Detection. Trans. Mach. Learn. Res. 2023 (2023)
Nuno Miguel Guerreiro, Duarte M. Alves, Jonas Waldendorf, Barry Haddow, Alexandra Birch, Pierre Colombo, André F. T. Martins
Hallucinations in Large Multilingual Translation Models. CoRR (2023)
Nuno Miguel Guerreiro, Ricardo Rei, Daan van Stigt, Luísa Coheur, Pierre Colombo, André F. T. Martins
xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection. CoRR (2023)
Nuno Miguel Guerreiro, Duarte M. Alves, Jonas Waldendorf, Barry Haddow, Alexandra Birch, Pierre Colombo, André F. T. Martins
Hallucinations in Large Multilingual Translation Models. Trans. Assoc. Comput. Linguistics 11 (2023)
Pierre Colombo, Nathan Noiry, Guillaume Staerman, Pablo Piantanida
A Novel Information-Theoretic Objective to Disentangle Representations for Fair Classification. CoRR (2023)
Pierre Colombo, Marine Picot, Nathan Noiry, Guillaume Staerman, Pablo Piantanida
Toward Stronger Textual Attack Detectors. CoRR (2023)
Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Victor Storchan, Myriam Tami, Ismail Ben Ayed, Céline Hudelot, Pablo Piantanida
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. CoRR (2023)
Pierre Colombo, Maxime Peyrard, Nathan Noiry, Robert West, Pablo Piantanida
The Glass Ceiling of Automatic Evaluation in Natural Language Generation. CoRR (2022)
Pierre Colombo, Eduardo Dadalto Câmara Gomes, Guillaume Staerman, Nathan Noiry, Pablo Piantanida
Beyond Mahalanobis-Based Scores for Textual OOD Detection. CoRR (2022)
Pierre Colombo, Nathan Noiry, Ekhine Irurozki, Stéphan Clémençon
What are the best Systems? New Perspectives on NLP Benchmarking. NeurIPS (2022)
Pierre Colombo, Nathan Noiry, Ekhine Irurozki, Stéphan Clémençon
What are the best systems? New perspectives on NLP Benchmarking. CoRR (2022)
Nuno Miguel Guerreiro, Pierre Colombo, Pablo Piantanida, André F. T. Martins
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation. CoRR (2022)
Cyril Chhun, Pierre Colombo, Fabian M. Suchanek, Chloé Clavel
Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation. COLING (2022)
Cyril Chhun, Pierre Colombo, Chloé Clavel, Fabian M. Suchanek
Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation. CoRR (2022)
Maxime Darrin, Pablo Piantanida, Pierre Colombo
Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution Data. CoRR (2022)
Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida
Learning Disentangled Textual Representations via Statistical Measures of Similarity. CoRR (2022)
Georg Pichler, Pierre Colombo, Malik Boudiaf, Günther Koliander, Pablo Piantanida
KNIFE: Kernelized-Neural Differential Entropy Estimation. CoRR (2022)
Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida
Learning Disentangled Textual Representations via Statistical Measures of Similarity. ACL (1) (2022)
Pierre Colombo, Eduardo Dadalto Câmara Gomes, Guillaume Staerman, Nathan Noiry, Pablo Piantanida
Beyond Mahalanobis Distance for Textual OOD Detection. NeurIPS (2022)
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
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. NeurIPS (2022)
Pierre Colombo, Guillaume Staerman, Chloé Clavel, Pablo Piantanida
Automatic Text Evaluation through the Lens of Wasserstein Barycenters. EMNLP (1) (2021)
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, Rishabh Gupta, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, et al.
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. CoRR (2021)
Pierre Colombo, Chouchang Yang, Giovanna Varni, Chloé Clavel
Beam Search with Bidirectional Strategies for Neural Response Generation. CoRR (2021)
Pierre Colombo, Emile Chapuis, Matthieu Labeau, Chloé Clavel
Improving Multimodal fusion via Mutual Dependency Maximisation. CoRR (2021)
Pierre Colombo, Guillaume Staerman, Chloé Clavel, Pablo Piantanida
Automatic Text Evaluation through the Lens of Wasserstein Barycenters. CoRR (2021)
Pierre Colombo, Emile Chapuis, Matthieu Labeau, Chloé Clavel
Code-switched inspired losses for spoken dialog representations. EMNLP (1) (2021)
Pierre Colombo, Chloé Clavel, Pablo Piantanida
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations. CoRR (2021)
Pierre Colombo, Pablo Piantanida, Chloé Clavel
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations. ACL/IJCNLP (1) (2021)
Pierre Colombo, Chloé Clavel, Chouchang Yack, Giovanna Varni
Beam Search with Bidirectional Strategies for Neural Response Generation. ICNLSP (2021)
Emile Chapuis, Pierre Colombo, Matthieu Labeau, Chloé Clavel
Code-switched inspired losses for generic spoken dialog representations. CoRR (2021)
Pierre Colombo, Emile Chapuis, Matthieu Labeau, Chloé Clavel
Improving Multimodal fusion via Mutual Dependency Maximisation. EMNLP (1) (2021)
Pierre Colombo, Chloé Clavel, Pablo Piantanida
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation. CoRR (2021)
Emile Chapuis, Pierre Colombo, Matteo Manica, Matthieu Labeau, Chloé Clavel
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog. EMNLP (Findings) (2020)
Pierre Colombo, Emile Chapuis, Matteo Manica, Emmanuel Vignon, Giovanna Varni, Chloé Clavel
Guiding Attention in Sequence-to-Sequence Models for Dialogue Act Prediction. AAAI (2020)
Hamid Jalalzai, Pierre Colombo, Chloé Clavel, Éric Gaussier, Giovanna Varni, Emmanuel Vignon, Anne Sabourin
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation. CoRR (2020)
Emile Chapuis, Pierre Colombo, Matteo Manica, Matthieu Labeau, Chloé Clavel
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog. CoRR (2020)
Tanvi Dinkar, Pierre Colombo, Matthieu Labeau, Chloé Clavel
The importance of fillers for text representations of speech transcripts. EMNLP (1) (2020)
Hamid Jalalzai, Pierre Colombo, Chloé Clavel, Éric Gaussier, Giovanna Varni, Emmanuel Vignon, Anne Sabourin
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation. NeurIPS (2020)
Tanvi Dinkar, Pierre Colombo, Matthieu Labeau, Chloé Clavel
The importance of fillers for text representations of speech transcripts. CoRR (2020)
Pierre Colombo, Emile Chapuis, Matteo Manica, Emmanuel Vignon, Giovanna Varni, Chloé Clavel
Guider l'attention dans les modeles de sequence a sequence pour la prediction des actes de dialogue. CoRR (2020)
Pierre Colombo, Emile Chapuis, Matteo Manica, Emmanuel Vignon, Giovanna Varni, Chloé Clavel
Guiding attention in Sequence-to-sequence models for Dialogue Act prediction. CoRR (2020)
Pierre Colombo, Wojciech Witon, Ashutosh Modi, James Kennedy, Mubbasir Kapadia
Affect-Driven Dialog Generation. CoRR (2019)
Pierre Colombo, Wojciech Witon, Ashutosh Modi, James Kennedy, Mubbasir Kapadia
Affect-Driven Dialog Generation. NAACL-HLT (1) (2019)
Alexandre Garcia, Pierre Colombo, Slim Essid, Florence d'Alché-Buc, Chloé Clavel
From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining. CoRR (2019)
Alexandre Garcia, Pierre Colombo, Florence d'Alché-Buc, Slim Essid, Chloé Clavel
From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining. EMNLP/IJCNLP (1) (2019)
Wojciech Witon, Pierre Colombo, Ashutosh Modi, Mubbasir Kapadia
Disney at IEST 2018: Predicting Emotions using an Ensemble. WASSA@EMNLP (2018)