Disney at IEST 2018: Predicting Emotions using an Ensemble. - Wojciech Witon; Pierre Colombo; Ashutosh Modi; Mubbasir Kapadia (WASSA@EMNLP, 2018)

From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining. - Alexandre Garcia 001; Pierre Colombo; Florence d'Alché-Buc; Slim Essid; Chloé Clavel (EMNLP/IJCNLP (1), 2019)

Affect-Driven Dialog Generation. - Pierre Colombo; Wojciech Witon; Ashutosh Modi; James Kennedy; Mubbasir Kapadia (NAACL-HLT (1), 2019)

Guiding Attention in Sequence-to-Sequence Models for Dialogue Act Prediction. - Pierre Colombo; Emile Chapuis; Matteo Manica; Emmanuel Vignon; Giovanna Varni; Chloé Clavel (AAAI, 2020)

Hierarchical Pre-training for Sequence Labelling in Spoken Dialog. - Emile Chapuis; Pierre Colombo; Matteo Manica; Matthieu Labeau; Chloé Clavel (EMNLP (Findings), 2020)

The importance of fillers for text representations of speech transcripts. - Tanvi Dinkar; Pierre Colombo; Matthieu Labeau; Chloé Clavel (EMNLP (1), 2020)

Heavy-tailed Representations, Text Polarity Classification & Data Augmentation. - Hamid Jalalzai; Pierre Colombo; Chloé Clavel; Éric Gaussier; Giovanna Varni; Emmanuel Vignon; Anne Sabourin (NeurIPS, 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)

A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations. - Pierre Colombo; Pablo Piantanida; Chloé Clavel (ACL/IJCNLP (1), 2021)

Improving Multimodal fusion via Mutual Dependency Maximisation. - Pierre Colombo; Emile Chapuis; Matthieu Labeau; Chloé Clavel (EMNLP (1), 2021)

Code-switched inspired losses for spoken dialog representations. - Pierre Colombo; Emile Chapuis; Matthieu Labeau; Chloé Clavel (EMNLP (1), 2021)

Automatic Text Evaluation through the Lens of Wasserstein Barycenters. - Pierre Colombo; Guillaume Staerman; Chloé Clavel; Pablo Piantanida (EMNLP (1), 2021)

Beam Search with Bidirectional Strategies for Neural Response Generation. - Pierre Colombo; Chloé Clavel; Chouchang (Jack) Yang; Giovanna Varni (ICNLSP, 2021)

Code-switched inspired losses for generic spoken dialog representations. - Emile Chapuis; Pierre Colombo; Matthieu Labeau; Chloé Clavel (CoRR, 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; et al. (CoRR, 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 (2021)

InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation. - Pierre Jean A. Colombo; Chloé Clavel; Pablo Piantanida (AAAI, 2022)

Learning Disentangled Textual Representations via Statistical Measures of Similarity. - Pierre Colombo; Guillaume Staerman; Nathan Noiry; Pablo Piantanida (ACL (1), 2022)

Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation. - Cyril Chhun; Pierre Colombo; Fabian M. Suchanek; Chloé Clavel (COLING, 2022)

A Differential Entropy Estimator for Training Neural Networks. - Georg Pichler; Pierre Jean A. Colombo; Malik Boudiaf; Günther Koliander; Pablo Piantanida (ICML, 2022)

Beyond Mahalanobis Distance for Textual OOD Detection. - Pierre Colombo; Eduardo Dadalto Câmara Gomes; Guillaume Staerman; Nathan Noiry; Pablo Piantanida (NeurIPS, 2022)

What are the best Systems? New Perspectives on NLP Benchmarking. - Pierre Colombo; Nathan Noiry; Ekhine Irurozki; Stéphan Clémençon (NeurIPS, 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; et al. (NeurIPS, 2022)

KNIFE: Kernelized-Neural Differential Entropy Estimation. - Georg Pichler; Pierre Colombo; Malik Boudiaf; Günther Koliander; Pablo Piantanida (CoRR, 2022)

Beyond Mahalanobis-Based Scores for Textual OOD Detection. - Pierre Colombo; Eduardo Dadalto Câmara Gomes; Guillaume Staerman; Nathan Noiry; Pablo Piantanida (CoRR, 2022)

Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution Data. - Maxime Darrin; Pablo Piantanida; Pierre Colombo (CoRR, 2022)

Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation. - Nuno Miguel Guerreiro; Pierre Colombo; Pablo Piantanida; André F. T. Martins (ACL (1), 2023)

Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning. - Duarte M. Alves; Nuno Miguel Guerreiro; João Alves 003; José Pombal; Ricardo Rei; José Guilherme Camargo de Souza; Pierre Colombo; André F. T. Martins (EMNLP (Findings), 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 (EMNLP, 2023)

Toward Stronger Textual Attack Detectors. - Pierre Colombo; Marine Picot; Nathan Noiry; Guillaume Staerman; Pablo Piantanida (EMNLP (Findings), 2023)

RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data. - Maxime Darrin; Pablo Piantanida; Pierre Colombo (EMNLP, 2023)

Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications. - Manuel Faysse; Gautier Viaud; Céline Hudelot; Pierre Colombo (EMNLP, 2023)

A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification. - Pierre Colombo; Nathan Noiry; Guillaume Staerman; Pablo Piantanida (IJCNLP (Findings), 2023)

The Glass Ceiling of Automatic Evaluation in Natural Language Generation. - Pierre Colombo; Maxime Peyrard; Nathan Noiry; Robert West 001; Pablo Piantanida (IJCNLP (Findings), 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)

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)

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)

A Halfspace-Mass Depth-Based Method for Adversarial Attack Detection. - Marine Picot; Federica Granese; Guillaume Staerman; Marco Romanelli 002; Francisco Messina; Pablo Piantanida; Pierre Colombo (Trans. Mach. Learn. Res., 2023)

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 (AAAI, 2024)

Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks. - Anas Himmi; Ekhine Irurozki; Nathan Noiry; Stéphan Clémençon; Pierre Colombo (EMNLP (Findings), 2024)

Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation. - Anas Himmi; Guillaume Staerman; Marine Picot; Pierre Colombo; Nuno Miguel Guerreiro (EMNLP, 2024)

SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain. - Pierre Colombo; Telmo Pessoa Pires; Malik Boudiaf; Rui Melo; Gabriel Hautreux; Etienne Malaboeuf; Johanne Charpentier; Dominic Culver; Michael Desa (NeurIPS, 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 (WMT, 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 003; M. Amin Farajian; Ben Peters; Ricardo Rei; Patrick Fernandes; Sweta Agrawal; Pierre Colombo; José G. C. de Souza; et al. (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)

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)

EuroLLM: Multilingual Language Models for Europe. - Pedro Henrique Martins; Patrick Fernandes; João Alves 003; Nuno Miguel Guerreiro; Ricardo Rei; Duarte M. Alves; José Pombal; M. Amin Farajian; Manuel Faysse; Mateusz Klimaszewski; Pierre Colombo; Barry Haddow; et al. (CoRR, 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)

Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism. - Hippolyte Gisserot-Boukhlef; Manuel Faysse; Emmanuel Malherbe; Céline Hudelot; Pierre Colombo (Trans. Mach. Learn. Res., 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)

ColPali: Efficient Document Retrieval with Vision Language Models. - Manuel Faysse; Hugues Sibille; Tony Wu; Bilel Omrani; Gautier Viaud; Céline Hudelot; Pierre Colombo (ICLR, 2025)

Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs. - Nicolas Boizard; Kevin El Haddad; Céline Hudelot; Pierre Colombo (Trans. Mach. Learn. Res., 2025)

CroissantLLM: A Truly Bilingual French-English Language Model. - Manuel Faysse; Patrick Fernandes; Nuno Miguel Guerreiro; António Loison; Duarte M. Alves; Caio Corro; Nicolas Boizard; João Alves 003; Ricardo Rei; Pedro Henrique Martins; Antoni Bigata Casademunt; François Yvon; et al. (Trans. Mach. Learn. Res., 2025)

EuroBERT: Scaling Multilingual Encoders for European Languages. - Nicolas Boizard; Hippolyte Gisserot-Boukhlef; Duarte M. Alves; André F. T. Martins; Ayoub Hammal; Caio Corro; Céline Hudelot; Emmanuel Malherbe; Etienne Malaboeuf; Fanny Jourdan; Gabriel Hautreux; João Alves 003; et al. (CoRR, 2025)

Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings. - Max Conti; Manuel Faysse; Gautier Viaud; Antoine Bosselut; Céline Hudelot; Pierre Colombo (CoRR, 2025)

EuroLLM-9B: Technical Report. - Pedro Henrique Martins; João Alves 003; Patrick Fernandes; Nuno Miguel Guerreiro; Ricardo Rei; M. Amin Farajian; Mateusz Klimaszewski; Duarte M. Alves; José Pombal; Nicolas Boizard; Manuel Faysse; Pierre Colombo; et al. (CoRR, 2025)

Should We Still Pretrain Encoders with Masked Language Modeling? - Hippolyte Gisserot-Boukhlef; Nicolas Boizard; Manuel Faysse; Duarte M. Alves; Emmanuel Malherbe; André F. T. Martins; Céline Hudelot; Pierre Colombo (CoRR, 2025)