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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

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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.

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About 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
Influential citationsfirst count: 3Sep 25, 2026
Citationsfirst count: 17Sep 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.

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