Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability research paper by Meta, 2026
Meta · Jan 26, 2026 · Reasoning · 17 citations · 43 upvotes · unverified
What it shows
A self-improvement framework enables pretrained language models to generate automated curricula for solving previously unsolvable problems by leveraging latent knowledge and meta-reinforcement learning.
UnverifiedHugging Face's summary; not yet checked by hand.
More from Meta
All 34Other reasoning papers
TopicAbout this paper
- Authors
- Shobhita Sundaram, John Quan, Ariel Kwiatkowski and 3 more
- arXiv
- 2601.18778 · PDF
- Venue
- arXiv.org
- Citations
- 17, 3 influential · Semantic Scholar
- Upvotes
- 43 · Hugging Face
- Lab
- Meta · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf
Changes
| What changed | |
|---|---|
| Sep 25, 2026 | Influential citationsfirst count: 3Sep 25, 2026 |
| Sep 25, 2026 | Citationsfirst count: 17Sep 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.