Ge Teng

Improving Complex Reasoning with Dynamic Prompt Corruption: A Soft Prompt Optimization Approach

Prompt Tuning (PT) has emerged as a promising Parameter-Efficient Fine-Tuning (PEFT) approach by appending trainable continuous prompt vectors to the input, maintaining competitive performance with significantly fewer trainable parameters. While PT has shown effectiveness in enhancing task performan…