Researchers at Stanford Propose a Family of Representation Finetuning (ReFT) Methods that Operates on a Frozen Base Model and Learn Task-Specific Interventions on Hidden Representations
Pretrained language models (LMs) are commonly finetuned to adapt them to new domains or tasks, a process known as finetuning. ...
