3 papers
cs.CL2026
A survey of diversity quantification in natural language processing: The why, what, where and how
Louis Estève, Marie-Catherine de Marneffe, Nurit Melnik +2
The concept of diversity has received increasing attention in natural language processing (NLP) in recent years. It became an advocated property of datasets and systems, and many m…
cs.CL2026
A Diversity Diet for a Healthier Model: A Case Study of French ModernBERT
Louis Estève, Christophe Servan, Thomas Lavergne +1
Diversity has been gaining interest in the NLP community in recent years. At the same time, state-of-the-art transformer models such as ModernBERT use very large pre-training datas…
cs.CL2025
Formalising lexical and syntactic diversity for data sampling in French
Louis Estève, Manon Scholivet, Agata Savary
Diversity is an important property of datasets and sampling data for diversity is useful in dataset creation. Finding the optimally diverse sample is expensive, we therefore presen…