arxiv
PublishedJune 3, 2026 at 4:00 AM
Multilingual Unlearning in LLMs: Transfer, Dynamics, and Reversibility
Publisher summary· verbatim
arXiv:2606.03291v1 Announce Type: new Abstract: Large language models (LLMs) can memorize sensitive facts, motivating unlearning methods that remove targeted knowledge without costly retraining. However, unlearning research remains heavily English-centric. We study multilingual unlearning by extendi
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 Pruning18harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning18harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models18harxivTemporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents18hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗