arxiv
PublishedJune 5, 2026 at 4:00 AM
—neutral
q0: Primitives for Hyper-Epoch Pretraining
Publisher summary· verbatim
arXiv:2606.03938v2 Announce Type: replace-cross Abstract: Multi-epoch training is becoming the standard now that compute is growing faster than the supply of high-quality text. But pretraining a single model saturates within a few passes, long before the compute budget is exhausted. We argue this ca
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivSFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning10harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning10harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models10harxivTemporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents10hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗