most citedAstroMMBench: A Benchmark for Evaluating Multimodal Large Language Models Capabilities in Astronomy

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cs.LG2025

Completed Hyperparameter Transfer across Modules, Width, Depth, Batch and Duration

Bruno Mlodozeniec, Pierre Ablin, Louis Béthune +4

Hyperparameter tuning can dramatically impact training stability and final performance of large-scale models. Recent works on neural network parameterisations, such as P, have e…

cs.LG2025

Removing Noise, not Finding Gold: Quality Filtering for Large-Scale Pretraining

Thiziri Nait Saada, Louis Bethune, Michal Klein +3

Large-scale models are pretrained on massive web-crawled datasets containing documents of mixed quality, making data filtering essential. A popular method is Classifier-based Quali…