Implementation of Attention Schema-based Attention Control (ASAC)
Project description
ASAC (wip)
Implementation of Attention Schema-based Attention Control (ASAC), A Cognitive-Inspired Approach for Attention Management in Transformers
Citations
@misc{saxena2025attentionschemabasedattentioncontrol,
title = {Attention Schema-based Attention Control (ASAC): A Cognitive-Inspired Approach for Attention Management in Transformers},
author = {Krati Saxena and Federico Jurado Ruiz and Guido Manzi and Dianbo Liu and Alex Lamb},
year = {2025},
eprint = {2509.16058},
archivePrefix = {arXiv},
primaryClass = {cs.AI},
url = {https://arxiv.org/abs/2509.16058},
}
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
asac_pytorch-0.0.7.tar.gz
(6.4 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file asac_pytorch-0.0.7.tar.gz.
File metadata
- Download URL: asac_pytorch-0.0.7.tar.gz
- Upload date:
- Size: 6.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.8.17
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e56badd8acc6024d609932cc84f25b71844d0610fe5cedd8520c1464ee4b8c5a
|
|
| MD5 |
fe06ebf8627c36b82eb34f1229ed36db
|
|
| BLAKE2b-256 |
3c28a05fb4756aff23479b8b8178469f6ccd00cde490da6b3bb2b1ac9e9a8f03
|
File details
Details for the file asac_pytorch-0.0.7-py3-none-any.whl.
File metadata
- Download URL: asac_pytorch-0.0.7-py3-none-any.whl
- Upload date:
- Size: 5.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.8.17
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7be8f7bdab0c9bca64a66cde2a961e23cd9a9468388ddf575ebe8b766141459e
|
|
| MD5 |
c2644936e534c021ee0f12ebf21766f8
|
|
| BLAKE2b-256 |
310bdc75235fe7c5b7fdb91aff6b9321c0b197177dc4a1018737b44e7ed3d271
|