Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories research paper by Google, 2026
Google · Jun 2, 2026 · Training and scaling · 3 citations · 28 upvotes · unverified
What it shows
Deep learning models with sleep and dreaming paradigms enable continual learning through memory consolidation and self-improvement phases.
UnverifiedHugging Face's summary; not yet checked by hand.
More from Google
All 33Other training and scaling papers
TopicAbout this paper
- Authors
- Ali Behrouz, Farnoosh Hashemi, Vahab Mirrokni
- arXiv
- 2606.03979 · PDF
- Venue
- arXiv.org
- Citations
- 3, 1 influential · Semantic Scholar
- Upvotes
- 28 · Hugging Face
- Lab
- Google · on Companies · on Acquisitions · on Paydays · on TechConf · on Releases
Changes
| What changed | |
|---|---|
| Sep 25, 2026 | Influential citationsfirst count: 1Sep 25, 2026 |
| Sep 25, 2026 | Citationsfirst count: 3Sep 25, 2026 |
| Sep 25, 2026 | New paperFound by the weekly scan, unverifiedSep 25, 2026 |
Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.