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Haider Al-Tahan

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Open access Sep 2026

Zero-shot evaluations expose structured generalization limits in predictive models of the brain

Artificial neural networks (ANNs) can predict neural responses to natural images with remarkable accuracy, making them promising models of human vision. However, prediction scores alone reveal little about what computations these models have captured or how well they generalize beyond the images on which they are train...

Ruo-Lin Wang, Mayukh Deb, Alex Abate et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Deriving Scaling Laws for OpenEuroLLM Models: Learning Rate, Batch Size and Loss

This study establishes a first baseline and scaling procedure for the development of future OpenEuroLLM models, and characterize the dependence of loss on model capacity and dataset size, evaluating recently proposed scaling forms that explicitly model their interaction.

Niccolò Ajroldi, Diana-Alexandra Onutu, Haider Al-Tahan et al. · 1 citation

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