Modern learning to rank systems have achieved remarkable performance across a wide range of applications. However, they may also exhibit disparities in exposure, raising concerns about fairness, especially in sensitive domains such as healthcare, judicial decision-making, and recruitment, where biased rankings may have...
Tristan Cladière, Antoine Gourru, Bissan Audeh et al.· Proceedings of the 20th ACM...· 0 citations
Model compression techniques such as pruning and quantization facilitate the efficient deployment and acceleration of Large Language Models (LLMs). However, recent studies show that weight sparsification methods, such as SparseGPT, can amplify existing biases in models, with outputs varying significantly depending on p...
Irina Proskurina, Guillaume Metzler, Antoine Gourru et al.· 0 citations
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