RESEARCHMonitorWATCHLIST
Output Vector Editing for Memorization Mitigation in Large Language Models
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers proposed Output Vector Editing (OVE), a post-hoc technique to mitigate training data memorization in large language models.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 22 October 2026
- Collected by OneBench
- 23 Oct 2026, 03:01 UK
Stored source excerpt
arXiv:2606.18767v2 Announce Type: replace Abstract: Large language models can reproduce training text, creating privacy, copyright, and security risks. We propose Output Vector Editing (OVE), a…
Short excerpt from the collected text, not the full source. Use the source link to read it in context.
The factual summary is a OneBench synthesis, not a quotation or independent verification. Collection time is not publication time. Open the source for its full context; related reporting can share the same underlying announcement.