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Sanae Lotfi

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Preprint Aug 2026

Small-Scale Experiments: Are We There Yet?

Scaling laws promised cost-effective experiments; six years later, they have yet to fully deliver. Instead, researchers have found them unreliable at small scales (starting at 4M parameters) and concluded that sizable models cannot be avoided. We show this is not the case: the confounding factor is hyperparameters. Sma...

Nicholas Lourie, Kyunghyun Cho, Karen Ullrich et al. · 1 citation
#natural language process... Preprint Feb 2026

Investigating Social Bias Changes in Quantized Language Models

The first large-scale study of 50 quantized models evaluated on PostTrainingBiasBench, a unified benchmark of 13 closed- and open-ended bias datasets, shows that compression fundamentally alters bias patterns, requiring crucial post-quantization evaluation and interventions to ensure reliability in practice.

Stanley Bryan Z. Hua, Sanae Lotfi, Irene Y. Chen · 4 citations

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