Home
Information

AI Dataset Collection

Large-scale datasets and benchmarks for training, evaluating, and testing models to measure

Tools

Intelligent Document Recognition

Comprehensive Text Extraction and Document Processing Solutions for Users

AI Tutorial

SMoP

Public

The repository contains the code for our EMNLP 2023 paper "SMoP: Towards Efficient and Effective Prompt Tuning with Sparse Mixture-of-Prompts", written by Joon-Young Choi, Junho Kim, Jun-Hyung Park, Mok-Wing Lam, and SangKeun Lee.

Creat2023-06-24T15:21:57
Update2025-01-23T11:19:49
https://aclanthology.org/2023.emnlp-main.884/
9
Stars
0
Stars Increase

Related projects