2 papers
cs.CV2025
Continual Adapter Tuning with Semantic Shift Compensation for Class-Incremental Learning
Qinhao Zhou, Yuwen Tan, Boqing Gong +1
Class-incremental learning (CIL) aims to enable models to continuously learn new classes while overcoming catastrophic forgetting. The introduction of pre-trained models has brough…
cs.CL2025
Learning to Rewrite Prompts for Bootstrapping LLMs on Downstream Tasks
Qinhao Zhou, Xiang Xiang, Kun He +1
In recent years, the growing interest in Large Language Models (LLMs) has significantly advanced prompt engineering, transitioning from manual design to model-based optimization. P…