Xingshan Li

CogSteer: Cognition-Inspired Selective Layer Intervention for Efficiently Steering Large Language Models

Large Language Models (LLMs) achieve remarkable performance through pretraining on extensive data. This enables efficient adaptation to diverse downstream tasks. However, the lack of interpretability in their underlying mechanisms limits the ability to effectively steer LLMs for specific application…