Predicting and interpreting embeddings for out of vocabulary words in downstream tasks. - Nicolas Garneau; Jean-Samuel Leboeuf; Luc Lamontagne (BlackboxNLP@EMNLP, 2018)

Contextual Generation of Word Embeddings for Out of Vocabulary Words in Downstream Tasks. - Nicolas Garneau; Jean-Samuel Leboeuf; Luc Lamontagne (Canadian AI, 2019)

Attending Form and Context to Generate Specialized Out-of-VocabularyWords Representations. - Nicolas Garneau; Jean-Samuel Leboeuf; Yuval Pinter; Luc Lamontagne (CoRR, 2019)

Generating Intelligible Plumitifs Descriptions: Use Case Application with Ethical Considerations. - David Beauchemin; Nicolas Garneau; Eve Gaumond; Pierre-Luc Déziel; Richard Khoury; Luc Lamontagne (INLG, 2020)

A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well. - Nicolas Garneau; Mathieu Godbout; David Beauchemin; Audrey Durand; Luc Lamontagne (LREC, 2020)

Analogy Training Multilingual Encoders. - Nicolas Garneau; Mareike Hartmann; Anders Sandholm 001; Sebastian Ruder; Ivan Vulic; Anders Søgaard (AAAI, 2021)

Trainable Ranking Models to Evaluate the Semantic Accuracy of Data-to-Text Neural Generator. - Nicolas Garneau; Luc Lamontagne (Eval4NLP, 2021)

Plum2Text: a french plumitifs-descriptions data-to-text dataset for natural language generation. - Nicolas Garneau; Eve Gaumond; Luc Lamontagne; Pierre-Luc Déziel (ICAIL, 2021)

CriminelBART: a French Canadian legal language model specialized in criminal law. - Nicolas Garneau; Eve Gaumond; Luc Lamontagne; Pierre-Luc Déziel (ICAIL, 2021)

Shared Task in Evaluating Accuracy: Leveraging Pre-Annotations in the Validation Process. - Nicolas Garneau; Luc Lamontagne (INLG, 2021)

Beer2Vec : Extracting Flavors from Reviews for Thirst-Quenching Recommandations. - Jean-Thomas Baillargeon; Nicolas Garneau (CoRR, 2022)

LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development. - Ilias Chalkidis; Nicolas Garneau; Catalina Goanta; Daniel Martin Katz; Anders Søgaard (ACL (1), 2023)

Guided Beam Search to Improve Generalization in Low-Resource Data-to-Text Generation. - Nicolas Garneau; Luc Lamontagne (INLG, 2023)

Re-Framing Case Law Citation Prediction from a Paragraph Perspective. - Henrik Palmer Olsen; Nicolas Garneau; Yannis Panagis; Johan Lindholm; Anders Søgaard (JURIX, 2023)

Defining Knowledge: Bridging Epistemology and Large Language Models. - Constanza Fierro; Ruchira Dhar; Filippos Stamatiou; Nicolas Garneau; Anders Søgaard (EMNLP, 2024)

Combining Network and Text to Provide Legal Pincites. - Nicolas Garneau; Henrik Palmer Olsen; Antoine Corduant; Fabien Tarissan (JURIX, 2024)

MuLan: A Study of Fact Mutability in Language Models. - Constanza Fierro; Nicolas Garneau; Emanuele Bugliarello; Yova Kementchedjhieva; Anders Søgaard (NAACL (Short Papers), 2024)

Word Order and World Knowledge. - Qinghua Zhao; Vinit Ravishankar; Nicolas Garneau; Anders Søgaard (CoRR, 2024)

Does Mapo Tofu Contain Coffee? Probing LLMs for Food-related Cultural Knowledge. - Li Zhou 010; Taelin Karidi; Nicolas Garneau; Yong Cao 001; Wanlong Liu; Wenyu Chen 001; Daniel Hershcovich (CoRR, 2024)

Does Mapo Tofu Contain Coffee? Probing LLMs for Food-related Cultural Knowledge. - Li Zhou 010; Taelin Karidi; Wanlong Liu; Nicolas Garneau; Yong Cao 001; Wenyu Chen 001; Haizhou Li 001; Daniel Hershcovich (NAACL (Long Papers), 2025)