arxiv
PublishedJune 3, 2026 at 4:00 AM
—neutral
Fast Unlearning at Scale via Margin Self-Correction
Publisher summary· verbatim
arXiv:2606.02920v1 Announce Type: new Abstract: Language-model unlearning updates a trained model to behave as if it had not seen selected training examples, while preserving utility and avoiding costly retraining. Existing approaches typically fine-tune the pretrained model with a fixed training bu
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 Pruning11harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning11harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models11harxivTemporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents11hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗