activity
20232025
most citedWikidata as a seed for Web Extraction

151 citations · 154 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Fair Text Classification via Transferable Representations

Thibaud Leteno, Michael Perrot, Charlotte Laclau +2

Group fairness is a central research topic in text classification, where reaching fair treatment between sensitive groups (e.g., women and men) remains an open challenge. We propos…

cs.CL2025

Histoires Morales: A French Dataset for Assessing Moral Alignment

Thibaud Leteno, Irina Proskurina, Antoine Gourru +4

Aligning language models with human values is crucial, especially as they become more integrated into everyday life. While models are often adapted to user preferences, it is equal…

cs.CL2024★ 3 cited

Fine-tuning Strategies for Domain Specific Question Answering under Low Annotation Budget Constraints

Kunpeng Guo, Dennis Diefenbach, Antoine Gourru +1

The progress introduced by pre-trained language models and their fine-tuning has resulted in significant improvements in most downstream NLP tasks. The unsupervised training of a l…

cs.CL2024★ 151 cited

Wikidata as a seed for Web Extraction

Kunpeng Guo, Dennis Diefenbach, Antoine Gourru +1

Wikidata has grown to a knowledge graph with an impressive size. To date, it contains more than 17 billion triples collecting information about people, places, films, stars, public…

cs.CL2023

Fair Text Classification with Wasserstein Independence

Thibaud Leteno, Antoine Gourru, Charlotte Laclau +2

Group fairness is a central research topic in text classification, where reaching fair treatment between sensitive groups (e.g. women vs. men) remains an open challenge. This paper…