An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models
Deliberate Problem Solving with Large Language Models
Towards a Unified View of Parameter-Efficient Transfer Learning
Your Language Model is Secretly a Reward Model
Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks