activity
20212026
most citedMatching Tasks to Objectives: Fine-Tuning and Prompt-Tuning Strategies for Encoder-Decoder Pre-trained Language Models

6 citations · 6 across the 5 of their papers we have counts for

collaborators
Showing 2024Show all

1 paper · 1 filter

cs.AI2024

Enhancing Few-Shot Transfer Learning with Optimized Multi-Task Prompt Tuning through Modular Prompt Composition

Ahmad Pouramini, Hesham Faili

In recent years, multi-task prompt tuning has garnered considerable attention for its inherent modularity and potential to enhance parameter-efficient transfer learning across dive…