2 papers
cs.CL2025
Let's Unlearn Stereotypes Before Decision-Making: Assessing the Impact of Intrinsic Bias Mitigation on Downstream Fairness in LLMs
Mina Arzaghi, Alireza Dehghanpour Farashah, Florian Carichon +2
Large Language Models (LLMs) are increasingly used in high-stakes decision-making systems, where biased predictions can reinforce social and economic disparities. Although prior wo…
stat.CO2020
Fully Bayesian inference for spatiotemporal data with the multi-resolution approximation
Luc Villandré, Jean-François Plante, Thierry Duchesne +1
Large spatiotemporal datasets are a challenge for conventional Bayesian models because of the cubic computational complexity of the algorithms for obtaining the Cholesky decomposit…