# AkariAsai/ATTEMPT

<https://repo.masters-masters.com/en/repos/AkariAsai/ATTEMPT>

[Home](https://repo.masters-masters.com/en) › [AkariAsai](https://repo.masters-masters.com/en/owners/AkariAsai) › [ATTEMPT](https://repo.masters-masters.com/en/repos/AkariAsai/ATTEMPT)

AkariAsai/ATTEMPT has 104 stars on GitHub. Its RepoMasters card: Prototype tier. This is the oficial repository for "Parameter-Efficient Multi-task Tuning via…

| Field | Value |
| --- | --- |
| Owner | [AkariAsai](https://repo.masters-masters.com/en/owners/AkariAsai) |
| Stars | 104 |
| Forks | 5 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [AkariAsai/ATTEMPT](https://github.com/AkariAsai/ATTEMPT) |

## Repository

This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
