Log Depth Recurrent Modeling (wip)
Explorations into the Log Depth Recurrent Modeling proposed by Yiqin Wang of Imperial College London
Citations
@misc{wang2026logdepthrecurrentlanguagemodeling,
title = {Log-Depth Recurrent Language Modeling},
author = {Yiqin Wang and Nuri Cingillioglu and Charles Pert},
year = {2026},
eprint = {2609.28212},
archivePrefix = {arXiv},
primaryClass = {cs.LG},
url = {https://arxiv.org/abs/2609.28212},
}
@misc{shen2019orderedmemory,
title = {Ordered Memory},
author = {Yikang Shen and Shawn Tan and Arian Hosseini and Zhouhan Lin and Alessandro Sordoni and Aaron Courville},
year = {2019},
eprint = {1910.13466},
archivePrefix = {arXiv},
primaryClass = {cs.LG},
url = {https://arxiv.org/abs/1910.13466},
}
@misc{pert2026lengthgeneralizationlogdepthrecurrent,
title = {Length Generalization with Log-Depth Recurrent Units},
author = {Charles Pert and Dalal Alrajeh and Alessandra Russo},
year = {2026},
eprint = {2605.26035},
archivePrefix = {arXiv},
primaryClass = {cs.LG},
url = {https://arxiv.org/abs/2605.26035},
}
Release files for log-depth-recurrent-modeling 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| log_depth_recurrent_modeling-0.0.1.tar.gz | 5.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| log_depth_recurrent_modeling-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.9 kB
Release files / log_depth_recurrent_modeling-0.0.1.tar.gz
| Download URL | log_depth_recurrent_modeling-0.0.1.tar.gz |
|---|---|
| Size | 5.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
42e4e06dd08f6e7c1be267ed500257ef41b7c8af48a6775a86937ee8c18c563c
|
|
BLAKE2b-256 checksum How to use checksums |
650f36927fad0356964f162f3c373b7a523962afda187b41c7650501c733ea08
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.8.17
|
Release files / log_depth_recurrent_modeling-0.0.1-py3-none-any.whl
| Download URL | log_depth_recurrent_modeling-0.0.1-py3-none-any.whl |
|---|---|
| Size | 5.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
aead2281fde27dbefb6574cc6b003f422d84f3dbfe2cdcf95a3c84ee1bf835fc
|
|
BLAKE2b-256 checksum How to use checksums |
67fd17340766a23f515f32129a8dd1a4ed22ea2a7678cbb967134cc4ca786e7a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.8.17
|