50 citations · 169 across the 13 of their papers we have counts for
18 papers
Can AI Forecast the Extremes? Evaluating Probabilistic Weather Models on Tropical Cyclones
Nathan Chalumeau, Xavier Renard, Remi Meynadier +3
Weather prediction is undergoing an important shift, with data-driven AI models outperforming leading numerical weather prediction systems on average at a fraction of the computati…
Latent Taxonomies: How Property Induction Develops in Language Model Pre-training
Jan Sobotka, Ekaterina Goliakova, Marcin Detyniecki +2
When told that robins have sesamoid bones, people are far more prone to extend the property to sparrows than to whales. This behavior, called category-based property induction, is…
Alignment Reduces Expressed but Not Encoded Gender Bias: A Unified Framework and Study
Nour Bouchouchi, Thibault Laugel, Xavier Renard +3
During training, Large Language Models (LLMs) learn social regularities that can lead to gender bias in downstream applications. Most mitigation efforts focus on reducing bias in g…
Metric assessment protocol in the context of answer fluctuation on MCQ tasks
Ekaterina Goliakova, Xavier Renard, Marie-Jeanne Lesot +3
Using multiple-choice questions (MCQs) has become a standard for assessing LLM capabilities efficiently. A variety of metrics can be employed for this task. However, previous resea…
Post-processing fairness with minimal changes
Federico Di Gennaro, Thibault Laugel, Vincent Grari +2
In this paper, we introduce a novel post-processing algorithm that is both model-agnostic and does not require the sensitive attribute at test time. In addition, our algorithm is e…
Dynamic Interpretability for Model Comparison via Decision Rules
Adam Rida, Marie-Jeanne Lesot, Xavier Renard +1
Explainable AI (XAI) methods have mostly been built to investigate and shed light on single machine learning models and are not designed to capture and explain differences between…