Thibault Laugel — accepted AI-conference papers

2025

SAKE: Steering Activations for Knowledge Editing

Marco Scialanga, Thibault Laugel, Vincent Grari, Marcin Detyniecki

ACL 2025long

As Large Langue Models have been shown to memorize real-world facts, the need to update this knowledge in a controlled and efficient manner arises. Designed with these constraints in mind, Knowledge Editing (KE) approaches propose to alter specific facts in pretrained models. However, they have been…

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2024

On the Fairness ROAD: Robust Optimization for Adversarial Debiasing

Vincent Grari, Thibault Laugel, Tatsunori Hashimoto, sylvain lamprier, Marcin Detyniecki

ICLR 2024poster

In the field of algorithmic fairness, significant attention has been put on group fairness criteria, such as Demographic Parity and Equalized Odds. Nevertheless, these objectives, measured as global averages, have raised concerns about persistent local disparities between sensitive groups. In this…

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