一作ACL 2026Findings· Findings of ACL
D e C o V ec: Building Decoding Space based Task Vector for Large Language Models via In-Context Learning
Feiyang Li · Yile Wang
摘要
Task vectors, representing directions in model or activation spaces that encode task-specific behaviors, have emerged as a promising tool for steering large language models (LLMs). However, existing approaches typically require fine-tuning or invasive manipulation of internal states, limiting the...