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cs.LG2026
ScAn-Bench: Evaluating Scaling Analysis Methodology
Artin Sermaxhaj, Nastaran Alipour, Donat Sinani +4
Recent progress in machine learning is driven by large-scale foundation models, where scaling laws and finding optimal scaling prescriptions for architecture, data, and hyperparame…
cs.LG2026
When is Warmstarting Effective for Scaling Language Models?
Neeratyoy Mallik, Maciej Janowski, Johannes Hog +4
Model growth from a given checkpoint aims to accelerate training of a larger model, offering potential resource savings. Despite recent interest, warmstarting has seen limited prac…