Papers by Louis Estève

2 papers
A Diversity Diet for a Healthier Model: A Case Study of French ModernBERT (2026.findings-acl)

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Challenge: Diversity has been gaining interest in the NLP community in recent years.
Approach: They propose to use diversity-driven sampling to pre-train models on French with a fixed compute budget.
Outcome: The diversity-driven sampling reduces the pre-training dataset by 94% and the pretraining time by 73% while maintaining comparable performance.
DELTA: A Toolkit for Measuring Linguistic Diversity in Dependency-Parsed Corpora (2026.eacl-demo)

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Challenge: Existing tools for measuring diversity of specific linguistic phenomena are limited . we present an open-source framework for measuring linguistic diversity .
Approach: They propose an open-source framework that integrates dependency tree querying with diversity computation.
Outcome: The proposed framework can measure diversity across multiple linguistic levels and dimensions.

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