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Full-stack recurrence ·
Learning to Learn with Loops
Looped Transformers are Better at Learning Learning Algorithms
Studies how looping encourages Transformers to learn iterative learning algorithms in context.
Inside the method
[ Shared Transformer ] × R
Simplified conceptual schematic. Consult the paper for the complete architecture.
- Recurrence family
- Full-stack recurrence
- Depth control
- Iteration budget
- KV / state strategy
- Task-specific experimental setup
Reading note
A controlled algorithm-learning study, rather than a general-purpose chat model.
Sources checked 2026-09-15. This catalog does not imply independent reproduction.
Cite this work
@misc{learningalgorithms2023,
title = {Looped Transformers are Better at Learning Learning Algorithms},
author = {Liu Yang and Kangwook Lee and Robert Nowak and Dimitris Papailiopoulos},
year = {2023},
eprint = {2311.12424},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2311.12424}
}